Stephen P. Cavnar
Impact in
- Oncology top 10%
- Cancer Cells and Metastasis
- Chemokine receptors and signaling
- Biomedical Engineering top 10%
- 3D Printing in Biomedical Research
- Innovative Microfluidic and Catalytic Techniques Innovation
- Microfluidic and Bio-sensing Technologies
- Microfluidic and Capillary Electrophoresis Applications
Papers in
- Oncology 7
- Chemokine receptors and signaling 4
- Cancer Cells and Metastasis 3
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- 3D Printing in Biomedical Research 6
- Innovative Microfluidic and Catalytic Techniques Innovation 2
- Microfluidic and Bio-sensing Technologies 1
- Co-authors
- Gary D. Luker (10 shared papers)Shuichi Takayama (9 shared papers)Kathryn E. Luker (2 shared papers)Jonathan W. Song (1 shared paper)Mudit Gupta (1 shared paper)Yi‐Chung Tung (1 shared paper)Ann C. Walker (1 shared paper)Sei‐Won Laura Chang (3 shared papers)
- Journals
- PLoS ONE (2 papers)SLAS TECHNOLOGY (2 papers)Oncogene (2 papers)Integrative Biology (1 paper)Tomography (1 paper)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Stephen P. Cavnar
11 papers receiving 581 citations
Peers
Comparison fields: 5 of 66
- Oncology 272
- Biomedical Engineering 346
- Cell Biology 85
- Modeling and Simulation 21
- Immunology 72
Countries citing papers authored by Stephen P. Cavnar
This map shows the geographic impact of Stephen P. Cavnar'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 P. Cavnar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen P. Cavnar more than expected).
Fields of papers citing papers by Stephen P. Cavnar
This network shows the impact of papers produced by Stephen P. Cavnar. 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 P. Cavnar. The network helps show where Stephen P. Cavnar may publish in the future.
Co-authors
The 23 scholars most cited alongside Stephen P. Cavnar, 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 | 2009 | 284 | |
| 2 | 2014 | 55 | |
| 3 | 2015 | 50 | |
| 4 | 2013 | 48 | |
| 5 | 2014 | 32 | |
| 6 | 2015 | 31 | |
| 7 | 2014 | 22 | |
| 8 | 2015 | 20 | |
| 9 | 2010 | 18 | |
| 10 | 2014 | 18 | |
| 11 | 2016 | 9 |
About Stephen P. Cavnar
Stephen P. Cavnar is a scholar working on Oncology, Biomedical Engineering, Immunology, Cell Biology and Biophysics, having authored 11 papers that have together received 587 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (6 papers), Chemokine receptors and signaling (4 papers), Cancer Cells and Metastasis (3 papers), Immunotherapy and Immune Responses (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Cellular Mechanics and Interactions (2 papers), Cell Image Analysis Techniques (1 paper) and Microfluidic and Bio-sensing Technologies (1 paper). The work is most often cited by research in Oncology (272 citations), Biomedical Engineering (346 citations), Cell Biology (85 citations), Modeling and Simulation (21 citations) and Immunology (72 citations). Stephen P. Cavnar has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Gary D. Luker, Shuichi Takayama, Kathryn E. Luker, Jonathan W. Song, Mudit Gupta, Yi‐Chung Tung, Ann C. Walker, Sei‐Won Laura Chang, Paramita Ray and Emma Salomonsson. Their work appears in journals such as PLoS ONE, SLAS TECHNOLOGY, Oncogene, Integrative Biology and Tomography.
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.