Trevor Manz
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Structural Biology top 10%
Papers in
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- Cell Image Analysis Techniques 4
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- Data Visualization and Analytics 4
- Video Analysis and Summarization 4
- Co-authors
- Faisal Mahmood (1 shared paper)Drew F. K. Williamson (1 shared paper)Richard J. Chen (1 shared paper)Maha Shady (1 shared paper)Ming Y. Lu (1 shared paper)Wei‐Hung Weng (1 shared paper)Tiffany Chen (1 shared paper)Nils Gehlenborg (10 shared papers)
- Journals
- Nature Methods (5 papers)IEEE Transactions on Visualization and Computer Graphics (2 papers)Bioinformatics (1 paper)Histochemistry and Cell Biology (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Trevor Manz
14 papers receiving 584 citations
Trevor Manz's Hit Papers
Peers
Comparison fields: 5 of 85
- Biophysics 159
- Structural Biology 19
- Artificial Intelligence 195
- Information Systems and Management 40
- Radiology, Nuclear Medicine and Imaging 115
Countries citing papers authored by Trevor Manz
This map shows the geographic impact of Trevor Manz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Trevor Manz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trevor Manz more than expected).
Fields of papers citing papers by Trevor Manz
This network shows the impact of papers produced by Trevor Manz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Trevor Manz. The network helps show where Trevor Manz may publish in the future.
Co-authors
The 25 scholars most cited alongside Trevor Manz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images Hit paper breakdown → | 2021 | 228 |
| 2 | 2021 | 105 | |
| 3 | 2023 | 92 | |
| 4 | 2023 | 64 | |
| 5 | 2022 | 31 | |
| 6 | 2024 | 28 | |
| 7 | 2019 | 12 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 4 | |
| 10 | 2025 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 1 | |
| 15 | 2022 | 0 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 |
About Trevor Manz
Trevor Manz is a scholar working on Biophysics, Computer Vision and Pattern Recognition, Molecular Biology, Information Systems and Management and Artificial Intelligence, having authored 17 papers that have together received 588 indexed citations. Recurring topics across this work include Data Visualization and Analytics (4 papers), Video Analysis and Summarization (4 papers), Single-cell and spatial transcriptomics (4 papers), Cell Image Analysis Techniques (4 papers), Gene expression and cancer classification (3 papers), Multimedia Communication and Technology (2 papers), Genomics and Phylogenetic Studies (2 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). The work is most often cited by research in Biophysics (159 citations), Structural Biology (19 citations), Artificial Intelligence (195 citations), Information Systems and Management (40 citations) and Radiology, Nuclear Medicine and Imaging (115 citations). Trevor Manz has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Faisal Mahmood, Drew F. K. Williamson, Richard J. Chen, Maha Shady, Ming Y. Lu, Wei‐Hung Weng, Tiffany Chen, Nils Gehlenborg, Josh Moore and Ilan Gold. Their work appears in journals such as Nature Methods, IEEE Transactions on Visualization and Computer Graphics, Bioinformatics, Histochemistry and Cell Biology and Nature Cell Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.