Mark S. Keller
Impact in
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- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
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- Data Visualization and Analytics
Papers in
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- Single-cell and spatial transcriptomics 3
- Genomics and Phylogenetic Studies 1
- Gene Regulatory Network Analysis 1
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- Cell Image Analysis Techniques 3
- Advanced Fluorescence Microscopy Techniques 1
- Co-authors
- Nils Gehlenborg (4 shared papers)Ilan Gold (1 shared paper)Chuck McCallum (1 shared paper)Peter V. Kharchenko (1 shared paper)Trevor Manz (1 shared paper)Qianwen Wang (1 shared paper)Huamin Qu (1 shared paper)Myles Brown (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (2 papers)Journal of the American College of Cardiology (1 paper)Nature Methods (1 paper)IEEE Computer Graphics and Applications (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesSouth KoreaZimbabwe
In The Last Decade
Mark S. Keller
5 papers receiving 32 citations
Peers
Comparison fields: 5 of 28
- Biophysics 10
- Computer Vision and Pattern Recognition 12
- Molecular Biology 15
- Critical Care and Intensive Care Medicine 1
- Human-Computer Interaction 1
Countries citing papers authored by Mark S. Keller
This map shows the geographic impact of Mark S. Keller'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 Mark S. Keller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark S. Keller more than expected).
Fields of papers citing papers by Mark S. Keller
This network shows the impact of papers produced by Mark S. Keller. 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 Mark S. Keller. The network helps show where Mark S. Keller may publish in the future.
Co-authors
The 17 scholars most cited alongside Mark S. Keller, 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 | 2024 | 15 | |
| 2 | 2022 | 12 | |
| 3 | 2023 | 4 | |
| 4 | 2025 | 2 | |
| 5 | 2021 | 1 | |
| 6 | 2025 | 0 |
About Mark S. Keller
Mark S. Keller is a scholar working on Molecular Biology, Biophysics, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Public Health, Environmental and Occupational Health, having authored 6 papers that have together received 34 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Cell Image Analysis Techniques (3 papers), Complex Network Analysis Techniques (1 paper), Data Visualization and Analytics (1 paper), Telemedicine and Telehealth Implementation (1 paper), Genomics and Phylogenetic Studies (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Biophysics (10 citations), Computer Vision and Pattern Recognition (12 citations), Molecular Biology (15 citations), Critical Care and Intensive Care Medicine (1 citation) and Human-Computer Interaction (1 citation). Mark S. Keller has collaborated with scholars based in United States, South Korea and Zimbabwe. Frequent co-authors include Nils Gehlenborg, Ilan Gold, Chuck McCallum, Peter V. Kharchenko, Trevor Manz, Qianwen Wang, Huamin Qu, Myles Brown, Chen-Hao Chen and Sehi L’Yi. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Journal of the American College of Cardiology, Nature Methods, IEEE Computer Graphics and Applications and Bioinformatics.
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.