50+ Graphical Abstract Examples & Templates by Discipline (2026)

Creating a graphical abstract from scratch can feel overwhelming. Where do you start? What layout works best for your research? How do other researchers in your field approach visual abstracts?

This guide answers these questions by showcasing real-world graphical abstract examples across disciplines, analyzing what makes them effective, and providing templates you can adapt for your own research.

For step-by-step creation instructions, see our companion guide: How to Create a Graphical Abstract.

Why Study Graphical Abstract Examples?

Before diving into examples, let's understand why studying existing graphical abstracts matters:

Research shows that articles with graphical abstracts receive approximately 2x more views than those without. By studying successful examples, you can ensure your visual abstract meets the standards that drive engagement.

The Four Universal Graphical Abstract Structures

Regardless of discipline, most effective graphical abstracts follow one of four structural patterns:

Structure 1: Linear Flow (Left → Right)

The most common pattern, showing progression from problem to solution:

[Context/Problem] → [Method/Approach] → [Key Finding] → [Implication]

Best for:

• Process-based research
• Drug discovery pipelines
• Sequential experiments
• Cause-and-effect studies

Structure 2: Central Focus

Places the main finding at the center with supporting elements radiating outward:

        [Input 1]
            ↓
[Input 2] → [CENTRAL FINDING] ← [Input 3]
            ↓
        [Outcome]

Best for:

• Studies with multiple inputs leading to one outcome
• Mechanistic discoveries
• Integration studies

Structure 3: Before/After Comparison

Side-by-side layout showing transformation or contrast:

[Condition A]  |  [Condition B]
    ↓          |      ↓
[Result A]     |  [Result B]

Best for:

• Treatment studies
• Comparative analyses
• Control vs. experimental designs

Structure 4: Hierarchical/Layered

Top-to-bottom organization showing system levels:

[Macro Level / System]
        ↓
[Intermediate Level]
        ↓
[Molecular/Detailed Level]

Best for:

• Systems biology
• Ecological studies
• Multi-scale research

This pathway diagram demonstrates the linear flow structure, showing signal transduction from receptor to cellular response

Biology & Life Sciences Examples

Biology graphical abstracts often feature cellular structures, pathways, and organism-level representations.

Example Category 1: Molecular & Cellular Biology

Typical Elements:

• Cell membrane representations
• Protein structures and interactions
• Signaling pathway arrows
• Organelle diagrams

Effective Approaches:

Enzyme mechanism diagrams use the central focus structure, highlighting the active site interaction

Biology-Specific Tips:

1. Use established iconography: Stick to conventional representations for common structures (double helix for DNA, Y-shape for antibodies)
2. Scale matters: Be consistent with relative sizes of structures
3. Color coding: Use established color conventions (e.g., blue for cold/inhibition, red for activation)
4. Avoid overcrowding: Focus on the key pathway relevant to your findings

Example Category 2: Ecology & Environmental Science

Typical Elements:

• Ecosystem representations
• Food web diagrams
• Geographic maps
• Species illustrations
• Environmental gradients

Recommended Layouts:

• Field studies: Geographic layout with sampling locations
• Community ecology: Network/web structure
• Climate research: Before/after or timeline comparison
• Conservation: Hierarchical (ecosystem → species → genetics)

Ecology-Specific Tips:

1. Use simplified organism silhouettes rather than detailed illustrations
2. Include scale bars for geographic representations
3. Use intuitive color gradients (green for vegetation, blue for water)
4. Consider seasonality or temporal aspects in your layout

Chemistry & Materials Science Examples

Chemistry graphical abstracts often combine molecular structures with reaction schemes and material properties.

Example Category 3: Organic & Synthetic Chemistry

Typical Elements:

• Molecular structures (2D or 3D)
• Reaction arrows and conditions
• Catalyst representations
• Yield/selectivity indicators

Reaction mechanism diagrams effectively use the linear flow structure to show substrate transformation

Chemistry-Specific Conventions:

Recommended Approaches:

1. Synthesis route: Linear flow from starting material to product
2. Mechanism study: Central focus on transition state
3. Catalyst comparison: Before/after or side-by-side
4. Structure-activity relationship: Grid or matrix layout

Example Category 4: Materials & Nanoscience

Typical Elements:

• Material structures (nanoparticles, films, crystals)
• Property measurements (conductivity, strength)
• Application demonstrations
• Scale comparisons (nano to macro)

Layout Recommendations:

[Raw Material] → [Synthesis] → [Structure] → [Property] → [Application]

Tips for Materials Science:

1. Include scale bars for microscopy images
2. Use consistent color for same material across panels
3. Show structure-property-function relationship
4. Consider 3D representations for complex structures

Medicine & Clinical Research Examples

Medical graphical abstracts must balance scientific accuracy with accessibility for clinical readers.

Example Category 5: Clinical Trials & Treatment Studies

Typical Elements:

• Patient population icons
• Treatment arms/groups
• Outcome measures
• Statistical significance indicators

Recommended Structure:

[Patient Population] → [Randomization] → [Treatment A / Treatment B] → [Outcomes Comparison]

Medical diagrams combine anatomical accuracy with clear labeling for clinical comprehension

Medical Graphical Abstract Best Practices:

1. Use simple patient icons: Avoid gendered or ethnically specific representations unless relevant
2. Show sample sizes: n= values help readers assess study power
3. Highlight primary endpoint: Make the main outcome visually dominant
4. Include effect size: Not just p-values, but meaningful clinical differences

Example Category 6: Diagnostic & Biomarker Studies

Typical Elements:

• Diagnostic workflow
• Biomarker levels
• ROC curves (simplified)
• Sensitivity/specificity indicators

Recommended Layout:

[Sample Collection] → [Assay/Test] → [Biomarker Detection] → [Clinical Decision]

Tips:

1. Simplify complex assays to key steps
2. Use intuitive positive/negative indicators
3. Include clinical relevance (not just analytical performance)

Physics & Engineering Examples

Physics graphical abstracts often require representing abstract concepts visually.

Example Category 7: Physics & Optics

Typical Elements:

• Experimental setups
• Light paths and wave representations
• Energy level diagrams
• Mathematical relationships (simplified)

Physics diagrams clearly show experimental setups with labeled components and light paths

Physics-Specific Approaches:

Example Category 8: Engineering & Applied Sciences

Typical Elements:

• System diagrams
• Performance metrics
• Input/output representations
• Process flow diagrams

Layout Strategy:

[Input Parameters] → [System/Device] → [Output/Performance] → [Application]

Tips:

1. Use standard engineering symbols where applicable
2. Include quantitative improvements (e.g., "3× efficiency increase")
3. Show real-world application context
4. Balance technical detail with accessibility

Data Science & Computational Research Examples

Example Category 9: Machine Learning & AI

Typical Elements:

• Model architecture diagrams
• Data flow representations
• Performance metrics (accuracy, F1)
• Comparison charts

Data science graphical abstracts often include simplified performance visualizations

Recommended Structure:

[Data Input] → [Model Architecture] → [Training/Processing] → [Output/Prediction] → [Validation]

ML/AI Specific Tips:

1. Simplify neural networks: Don't show every layer; use abstract block representations
2. Include key metrics: Accuracy, precision, or domain-specific measures
3. Show comparison: Your method vs. baseline
4. Indicate data type: Images, text, tabular data icons

Example Category 10: Bioinformatics & Computational Biology

Typical Elements:

• Sequence/structure data
• Analysis pipelines
• Statistical outputs
• Biological interpretation

Layout Approach:

[Raw Data/Sequences] → [Analysis Pipeline] → [Statistical Results] → [Biological Insight]

Templates by Journal Requirements

Cell Press Template (1200 × 1200 px)

Cell Press requires square graphical abstracts. Here's an effective template structure:

┌─────────────────────────────────┐
│         [Title/Context]         │
│                                 │
│  ┌─────┐    ┌─────┐    ┌─────┐  │
│  │ A   │ →  │ B   │ →  │ C   │  │
│  └─────┘    └─────┘    └─────┘  │
│                                 │
│         [Key Finding]           │
│                                 │
│  [Take-home message in 1 line]  │
└─────────────────────────────────┘

Specifications:
- Dimensions: 1200 × 1200 pixels
- Resolution: 300 DPI
- Font: Arial or Avenir, 12-16pt minimum
- Format: TIFF, EPS, or PDF

Elsevier Template (1328 × 531 px)

Elsevier uses a wide aspect ratio, ideal for horizontal flow:

┌─────────────────────────────────────────────────────────────┐
│                                                             │
│  [Context]  →  [Method]  →  [Finding]  →  [Implication]    │
│                                                             │
│  Brief visual narrative from left to right                  │
│                                                             │
└─────────────────────────────────────────────────────────────┘

Specifications:
- Dimensions: 1328 × 531 pixels minimum (500:200 ratio)
- Resolution: 300 DPI
- Font: Times, Arial, Courier
- Format: TIFF, EPS, PDF, or MS Office

General Purpose Template

For journals without specific requirements:

┌───────────────────────────────────────┐
│                                       │
│  ┌─────────────────────────────────┐  │
│  │        MAIN VISUAL              │  │
│  │    (Central finding/process)    │  │
│  │                                 │  │
│  └─────────────────────────────────┘  │
│                                       │
│  [Supporting element 1] [Element 2]   │
│                                       │
│  Key message: One sentence summary    │
│                                       │
└───────────────────────────────────────┘

General guidelines:
- Maintain at least 300 DPI
- Use vector formats when possible
- Keep text minimal (60-80 words max)

Analysis: What Makes These Examples Work

Common Success Factors

After analyzing hundreds of graphical abstracts, these elements consistently appear in effective designs:

1. Clear Entry Point

• Viewers immediately know where to start
• Usually top-left or clearly labeled "Start"

2. Logical Flow

• Arrows guide the eye through the narrative
• No ambiguous reading paths

3. Visual Hierarchy

• Main finding is largest/most prominent
• Supporting details are smaller/subdued

4. Consistent Style

• Same icon style throughout
• Unified color palette (3-5 colors)
• Consistent line weights

5. Minimal Text

• Labels only, not sentences
• 60-80 words maximum
• Large enough to read when scaled

6. White Space

• Not every pixel filled
• Elements have breathing room
• Improves readability

Common Failure Patterns

Avoid these frequent mistakes:

Creating Your Own: Step-by-Step Adaptation

Step 1: Find Your Closest Example

From the categories above, identify which type best matches your research:

• Pathway/mechanism study → Biology molecular examples
• Treatment comparison → Clinical trial template
• New method development → Linear flow structure
• Discovery/finding → Central focus structure

Step 2: Sketch Your Adaptation

On paper, sketch how your content fits the chosen template:

1. What's your starting point?
2. What's your main finding (make it central/prominent)?
3. What connects the elements?
4. What's the take-home message?

Step 3: Gather Visual Elements

Collect the components you need:

• For scientific icons: Bioicons, Servier Medical Art
• For quick diagrams: ConceptViz generates scientific diagrams from text descriptions
• For general icons: Noun Project, Flaticon

Step 4: Build Digitally

Use your preferred tool:

• Quick option: PowerPoint/Keynote with correct dimensions
• Professional option: Adobe Illustrator, Inkscape
• Science-specific: BioRender, ConceptViz

Step 5: Review Against Examples

Compare your draft to successful examples in your field:

• Does it have similar visual weight?
• Is the complexity level appropriate?
• Does it follow field conventions?

Discipline-Specific Resources

Biology & Life Sciences

• Cell Press Gallery - Browse Cell journal graphical abstracts
• Bioicons - Free scientific icons
• Servier Medical Art - Medical illustrations

Chemistry

• ChemDraw Templates - Reaction scheme templates
• RSC Style Guide - Royal Society of Chemistry guidelines

Medicine

• JAMA Network Graphical Abstracts - Medical journal examples
• NEJM Visual Abstracts - Clinical research examples

General

• Author Services - Wiley's author resources
• Scientific Color Palette Guide - Color selection help
• Best Fonts for Scientific Figures - Typography guidance

Tools Comparison for Creating Graphical Abstracts

Recommended Workflow:

1. Use ConceptViz or BioRender to generate initial scientific visuals
2. Assemble and refine in PowerPoint, Canva, or Illustrator
3. Export at journal-required specifications

Frequently Asked Questions

Conclusion

Creating an effective graphical abstract becomes much easier when you have good examples to learn from. The key insights from analyzing successful graphical abstracts across disciplines:

1. Choose the right structure for your research type (linear, central, comparison, or hierarchical)
2. Follow field conventions while maintaining your unique finding's visibility
3. Prioritize clarity over complexity—one message, clearly communicated
4. Use consistent styling throughout your design
5. Meet technical specifications for your target journal

Remember: your graphical abstract is often the first impression readers have of your research. Invest the time to make it clear, professional, and engaging.

Need to create scientific diagrams for your graphical abstract? Try ConceptViz to generate professional diagrams from simple text descriptions—perfect for researchers who want publication-quality visuals without extensive design skills.

Related Guides:

• How to Create a Graphical Abstract: Complete Guide
• Scientific Color Palette for Research
• Best Fonts for Scientific Figures
• How to Make Figures for Nature, Science, Cell