David Sehy
- Immunology top 1%
- Immune Cell Function and Interaction 3
- Immunotherapy and Immune Responses 2
- Immune Response and Inflammation 2
- Dermatology top 2%
- Parasitology top 5%
- Oncology top 5%
- Biological Psychiatry top 10%
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- Advanced Biosensing Techniques and Applications 3
- TGF-β signaling in diseases 2
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- Microfluidic and Capillary Electrophoresis Applications 3
- Biosensors and Analytical Detection 2
- Microfluidic and Bio-sensing Technologies 2
- Co-authors
- Lauren W. CollisonKate M. VignaliKelli L. BoydDario A.A. VignaliCreg J. WorkmanTimothy KuoRichard CrossRichard S. Blumberg
- Cited by
- ImmunologyDermatologyParasitology
- Journals
- The Journal of Immunology (3 papers)Cytokine (2 papers)Current Protocols in Immunology (1 paper)
- Partner nations
- United StatesAustraliaBelgium
In The Last Decade
David Sehy
14 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Immunology 2.1k
- Dermatology 205
- Parasitology 136
- Oncology 564
- Biological Psychiatry 35
Countries citing papers authored by David Sehy
This map shows the geographic impact of David Sehy'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 David Sehy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Sehy more than expected).
Fields of papers citing papers by David Sehy
This network shows the impact of papers produced by David Sehy. 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 David Sehy. The network helps show where David Sehy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Sehy, 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 | 2012 | 78 | |
| 2 | 2012 | 2 | |
| 3 | 2011 | 1 | |
| 4 | 2011 | 1 | |
| 5 | 2010 | 177 | |
| 6 | 2009 | 1 | |
| 7 | The inhibitory cytokine IL-35 contributes to regulatory T-cell functionbreakdown → | 2007 | 1553 |
| 8 | 2006 | 29 | |
| 9 | Interleukin 27 negatively regulates the development of interleukin 17–producing T helper cells during chronic inflammation of the central nervous systembreakdown → | 2006 | 779 |
| 10 | 2003 | 39 | |
| 11 | 1993 | 5 | |
| 12 | 1993 | 1 | |
| 13 | 1992 | 35 | |
| 14 | Regulation of production of activin A in human marrow stromal cells and monocytes. | 1992 | 82 |
About David Sehy
David Sehy is a scholar working on Immunology, Microbiology and Parasitology, having authored 14 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Biosensing Techniques and Applications (3 papers), Immune Cell Function and Interaction (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Immunotherapy and Immune Responses (2 papers), Immune Response and Inflammation (2 papers), Biosensors and Analytical Detection (2 papers), Microfluidic and Bio-sensing Technologies (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Immunology (2.1k citations), Dermatology (205 citations) and Parasitology (136 citations). David Sehy has collaborated with scholars based in United States, Australia and Belgium. Frequent co-authors include Lauren W. Collison, Kate M. Vignali, Kelli L. Boyd, Dario A.A. Vignali, Creg J. Workman, Timothy Kuo, Richard Cross, Richard S. Blumberg, Yao Wang and Jason S. Stumhofer. Their work appears in journals such as The Journal of Immunology, Cytokine, Current Protocols in Immunology, Journal of Cellular Biochemistry and Leukemia Research.
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.