Stephen J. DeCamp
Impact in
- Condensed Matter Physics top 1%
- Micro and Nano Robotics
- Cell Biology top 2%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
Papers in
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- Cellular Mechanics and Interactions 5
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- 3D Printing in Biomedical Research 3
- Co-authors
- Zvonimir Dogic (3 shared papers)Tim Sanchez (2 shared papers)Michaël Heymann (1 shared paper)Luca Giomi (2 shared papers)Mark J. Bowick (1 shared paper)Felix C. Keber (1 shared paper)Mauro Marchetti (1 shared paper)Étienne Loiseau (1 shared paper)
- Journals
- Nature Physics (3 papers)Biophysical Journal (2 papers)Nature Communications (1 paper)Nature (1 paper)Science (1 paper)
- Partner nations
- United StatesSouth KoreaNetherlands
In The Last Decade
Stephen J. DeCamp
13 papers receiving 1.9k citations
Stephen J. DeCamp's Hit Papers
Peers
Comparison fields: 5 of 97
- Condensed Matter Physics 1.2k
- Cell Biology 498
- Statistical and Nonlinear Physics 285
- Mechanical Engineering 497
- Biomedical Engineering 518
Countries citing papers authored by Stephen J. DeCamp
This map shows the geographic impact of Stephen J. DeCamp'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 Stephen J. DeCamp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen J. DeCamp more than expected).
Fields of papers citing papers by Stephen J. DeCamp
This network shows the impact of papers produced by Stephen J. DeCamp. 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 Stephen J. DeCamp. The network helps show where Stephen J. DeCamp may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen J. DeCamp, 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 | Spontaneous motion in hierarchically assembled active matter Hit paper breakdown → | 2012 | 1017 |
| 2 | Topology and dynamics of active nematic vesicles Hit paper breakdown → | 2014 | 424 |
| 3 | 2018 | 186 | |
| 4 | 2020 | 127 | |
| 5 | 2019 | 53 | |
| 6 | 2014 | 37 | |
| 7 | 2009 | 37 | |
| 8 | 2020 | 35 | |
| 9 | 2008 | 25 | |
| 10 | 2018 | 4 | |
| 11 | Dynamics of Active Nematic Liquid Crystals | 2016 | 1 |
| 12 | 2018 | 1 | |
| 13 | 2018 | 1 |
About Stephen J. DeCamp
Stephen J. DeCamp is a scholar working on Cell Biology, Biomedical Engineering, Molecular Biology, Condensed Matter Physics and Oncology, having authored 13 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (5 papers), Lipid Membrane Structure and Behavior (4 papers), Micro and Nano Robotics (4 papers), Protein Structure and Dynamics (3 papers), Cancer Cells and Metastasis (3 papers), 3D Printing in Biomedical Research (3 papers), Advanced Materials and Mechanics (2 papers) and Nonlinear Dynamics and Pattern Formation (1 paper). The work is most often cited by research in Condensed Matter Physics (1.2k citations), Cell Biology (498 citations), Statistical and Nonlinear Physics (285 citations), Mechanical Engineering (497 citations) and Biomedical Engineering (518 citations). Stephen J. DeCamp has collaborated with scholars based in United States, South Korea and Netherlands. Frequent co-authors include Zvonimir Dogic, Tim Sanchez, Michaël Heymann, Luca Giomi, Mark J. Bowick, Felix C. Keber, Mauro Marchetti, Étienne Loiseau, Andreas R. Bausch and Jennifer A. Mitchel. Their work appears in journals such as Nature Physics, Biophysical Journal, Nature Communications, Nature and Science.
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.