Clare M. Waterman
- Cell Biology top 0.01%
- Cellular Mechanics and Interactions 92
- Microtubule and mitosis dynamics 51
- Cellular transport and secretion 16
- Immunology and Allergy top 0.05%
- Cell Adhesion Molecules Research 32
- Biophysics top 0.02%
- Advanced Fluorescence Microscopy Techniques 36
- Cell Image Analysis Techniques 10
- Structural Biology top 0.2%
- Molecular Biology top 0.5%
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- 3D Printing in Biomedical Research 20
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- Force Microscopy Techniques and Applications 17
- Co-authors
- Gaudenz DanuserStephanie L. GuptonMargaret L. GardelAna M. PasaperaTorsten WittmannEdward D. SalmonBenedikt SabassMichael W. Davidson
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Clare M. Waterman
144 papers receiving 20.1k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Cell Biology 13.7k
- Immunology and Allergy 3.3k
- Biophysics 2.6k
- Structural Biology 519
- Molecular Biology 8.0k
Countries citing papers authored by Clare M. Waterman
This map shows the geographic impact of Clare M. Waterman'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 Clare M. Waterman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clare M. Waterman more than expected).
Fields of papers citing papers by Clare M. Waterman
This network shows the impact of papers produced by Clare M. Waterman. 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 Clare M. Waterman. The network helps show where Clare M. Waterman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Clare M. Waterman, 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 | 2023 | 21 | |
| 2 | 2022 | 12 | |
| 3 | 2022 | 16 | |
| 4 | 2021 | 58 | |
| 5 | NETosis proceeds by cytoskeleton and endomembrane disassembly and PAD4-mediated chromatin decondensation and nuclear envelope rupturebreakdown → | 2020 | 279 |
| 6 | 2020 | 95 | |
| 7 | 2019 | 107 | |
| 8 | 2017 | 92 | |
| 9 | 2015 | 2 | |
| 10 | 2014 | 88 | |
| 11 | 2013 | 85 | |
| 12 | 2013 | 217 | |
| 13 | 2011 | 80 | |
| 14 | 2011 | 108 | |
| 15 | 2007 | 153 | |
| 16 | 2006 | 100 | |
| 17 | 2003 | 87 | |
| 18 | 2003 | 46 | |
| 19 | 2001 | 329 | |
| 20 | 1998 | 28 |
About Clare M. Waterman
Clare M. Waterman is a scholar working on Cell Biology, Biophysics and Immunology and Allergy, having authored 149 papers that have together received 20.3k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (92 papers), Microtubule and mitosis dynamics (51 papers), Advanced Fluorescence Microscopy Techniques (36 papers), Cell Adhesion Molecules Research (32 papers), 3D Printing in Biomedical Research (20 papers), Force Microscopy Techniques and Applications (17 papers), Cellular transport and secretion (16 papers) and Cell Image Analysis Techniques (10 papers). The work is most often cited by research in Cell Biology (13.7k citations), Immunology and Allergy (3.3k citations) and Biophysics (2.6k citations). Clare M. Waterman has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Gaudenz Danuser, Stephanie L. Gupton, Margaret L. Gardel, Ana M. Pasapera, Torsten Wittmann, Edward D. Salmon, Benedikt Sabass, Michael W. Davidson, I Schneider and Robert Fischer. Their work appears in journals such as Nature, Science and Cell.
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.