Steven Pomeroy
Impact in
- Virology top 5%
- HIV Research and Treatment
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
-
- Extracellular vesicles in disease 2
- RNA Interference and Gene Delivery 2
- RNA Research and Splicing 2
- Virology 4
- HIV Research and Treatment 4
- Co-authors
- Mitch A. Phelps (2 shared papers)Jeffrey J. Chalmers (2 shared papers)Ola A. Elgamal (2 shared papers)Thomas D. Schmittgen (2 shared papers)Xiaohua Zhu (2 shared papers)Jinmai Jiang (2 shared papers)Dhruvitkumar S. Sutaria (2 shared papers)Mohamed Badawi (2 shared papers)
- Journals
- Journal of Biomedical Science (2 papers)Journal of Extracellular Vesicles (2 papers)AIDS Research and Human Retroviruses (1 paper)Virology (1 paper)Forest Ecology and Management (1 paper)
- Partner nations
- United States
In The Last Decade
Steven Pomeroy
9 papers receiving 653 citations
Steven Pomeroy's Hit Papers
Peers
Comparison fields: 5 of 72
- Virology 111
- Cancer Research 275
- Molecular Biology 509
- Infectious Diseases 91
- Immunology 103
Countries citing papers authored by Steven Pomeroy
This map shows the geographic impact of Steven Pomeroy'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 Steven Pomeroy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Pomeroy more than expected).
Fields of papers citing papers by Steven Pomeroy
This network shows the impact of papers produced by Steven Pomeroy. 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 Steven Pomeroy. The network helps show where Steven Pomeroy may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven Pomeroy, 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 | Comprehensive toxicity and immunogenicity studies reveal minimal effects in mice following sustained dosing of extracellular vesicles derived from HEK293T cells Hit paper breakdown → | 2017 | 447 |
| 2 | 2017 | 78 | |
| 3 | 2002 | 63 | |
| 4 | 1998 | 27 | |
| 5 | 2002 | 19 | |
| 6 | 2002 | 13 | |
| 7 | 1994 | 8 | |
| 8 | Computational Studies of an L-Band A6 Relativistic Magnetron* | 2002 | 1 |
| 9 | 1998 | 1 |
About Steven Pomeroy
Steven Pomeroy is a scholar working on Molecular Biology, Virology, Infectious Diseases, Immunology and Cancer Research, having authored 9 papers that have together received 657 indexed citations. Recurring topics across this work include HIV Research and Treatment (4 papers), HIV/AIDS drug development and treatment (3 papers), MicroRNA in disease regulation (2 papers), HIV/AIDS Research and Interventions (2 papers), Extracellular vesicles in disease (2 papers), RNA Interference and Gene Delivery (2 papers), RNA Research and Splicing (2 papers) and Animal Disease Management and Epidemiology (1 paper). The work is most often cited by research in Virology (111 citations), Cancer Research (275 citations), Molecular Biology (509 citations), Infectious Diseases (91 citations) and Immunology (103 citations). Steven Pomeroy has collaborated with scholars based in United States. Frequent co-authors include Mitch A. Phelps, Jeffrey J. Chalmers, Ola A. Elgamal, Thomas D. Schmittgen, Xiaohua Zhu, Jinmai Jiang, Dhruvitkumar S. Sutaria, Mohamed Badawi, Alice Baek and Xiaokui Mo. Their work appears in journals such as Journal of Biomedical Science, Journal of Extracellular Vesicles, AIDS Research and Human Retroviruses, Virology and Forest Ecology and Management.
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.