Jay P. Powers
Impact in
- Physiology top 2%
- Adenosine and Purinergic Signaling
- Immunology top 5%
- Complement system in diseases
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
- Oncology 27
- Chemokine receptors and signaling 11
- Peptidase Inhibition and Analysis 5
- Cancer Immunotherapy and Biomarkers 4
- Physiology 18
- Adenosine and Purinergic Signaling 18
- Co-authors
- Juan C. Jaén (30 shared papers)Thomas J. Schall (12 shared papers)Nigel P.C. Walker (11 shared papers)Scott D. Rychnovsky (5 shared papers)Zhulun Wang (10 shared papers)Lisa Seitz (11 shared papers)Daniel J. Dairaghi (9 shared papers)Mark E.T. Penfold (2 shared papers)
- Journals
- Cancer Research (9 papers)Bioorganic & Medicinal Chemistry Letters (9 papers)Cancer Immunology Research (5 papers)Organic Process Research & Development (4 papers)Journal of Medicinal Chemistry (4 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Jay P. Powers
68 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 114
- Physiology 163
- Immunology 622
- Nephrology 134
- Oncology 377
- Organic Chemistry 343
Countries citing papers authored by Jay P. Powers
This map shows the geographic impact of Jay P. Powers'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 Jay P. Powers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay P. Powers more than expected).
Fields of papers citing papers by Jay P. Powers
This network shows the impact of papers produced by Jay P. Powers. 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 Jay P. Powers. The network helps show where Jay P. Powers may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay P. Powers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 269 | |
| 2 | 2009 | 247 | |
| 3 | 2006 | 120 | |
| 4 | 2016 | 120 | |
| 5 | 2006 | 119 | |
| 6 | 2006 | 101 | |
| 7 | 2013 | 77 | |
| 8 | 2012 | 65 | |
| 9 | 2020 | 61 | |
| 10 | 2018 | 52 | |
| 11 | 1992 | 52 | |
| 12 | 1993 | 45 | |
| 13 | 2013 | 43 | |
| 14 | 2006 | 36 | |
| 15 | 2008 | 33 | |
| 16 | 2008 | 28 | |
| 17 | 2021 | 27 | |
| 18 | 2009 | 24 | |
| 19 | 1998 | 24 | |
| 20 | 2007 | 22 |
About Jay P. Powers
Jay P. Powers is a scholar working on Oncology, Physiology, Immunology, Organic Chemistry and Molecular Biology, having authored 69 papers that have together received 1.8k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (18 papers), Chemokine receptors and signaling (11 papers), Nanoplatforms for cancer theranostics (11 papers), Hormonal Regulation and Hypertension (7 papers), Click Chemistry and Applications (6 papers), Peptidase Inhibition and Analysis (5 papers), Adrenal and Paraganglionic Tumors (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Physiology (163 citations), Immunology (622 citations), Nephrology (134 citations), Oncology (377 citations) and Organic Chemistry (343 citations). Jay P. Powers has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Juan C. Jaén, Thomas J. Schall, Nigel P.C. Walker, Scott D. Rychnovsky, Zhulun Wang, Lisa Seitz, Daniel J. Dairaghi, Mark E.T. Penfold, Linda Ertl and Penglie Zhang. Their work appears in journals such as Cancer Research, Bioorganic & Medicinal Chemistry Letters, Cancer Immunology Research, Organic Process Research & Development and Journal of Medicinal Chemistry.
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.