Jeffrey Copps
Impact in
- Virology top 2%
- HIV Research and Treatment
- Infectious Diseases top 10%
- HIV/AIDS drug development and treatment
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research
Papers in
-
- Glycosylation and Glycoproteins Research 5
- Virology 8
- HIV Research and Treatment 8
- Co-authors
- Andrew B. Ward (11 shared papers)Ian A. Wilson (7 shared papers)Sándor Lovas (7 shared papers)Jonathan L. Torres (8 shared papers)Gabriel Ozorowski (4 shared papers)Robyn L. Stanfield (2 shared papers)John P. Moore (3 shared papers)Natalia de Val (2 shared papers)
- Journals
- Cell Reports (5 papers)Nature Communications (3 papers)Peptides (3 papers)Biopolymers (2 papers)Science Advances (2 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Jeffrey Copps
23 papers receiving 505 citations
Peers
Comparison fields: 5 of 55
- Virology 248
- Infectious Diseases 194
- Immunology 117
- Radiology, Nuclear Medicine and Imaging 121
- Molecular Biology 256
Countries citing papers authored by Jeffrey Copps
This map shows the geographic impact of Jeffrey Copps'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 Jeffrey Copps with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Copps more than expected).
Fields of papers citing papers by Jeffrey Copps
This network shows the impact of papers produced by Jeffrey Copps. 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 Jeffrey Copps. The network helps show where Jeffrey Copps may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeffrey Copps, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 176 | |
| 2 | 2018 | 60 | |
| 3 | 2018 | 31 | |
| 4 | 2022 | 31 | |
| 5 | 2023 | 29 | |
| 6 | 2018 | 27 | |
| 7 | 2019 | 26 | |
| 8 | 2009 | 24 | |
| 9 | 2021 | 19 | |
| 10 | 2007 | 17 | |
| 11 | 2021 | 14 | |
| 12 | 2023 | 11 | |
| 13 | 2021 | 11 | |
| 14 | 2009 | 7 | |
| 15 | 2006 | 6 | |
| 16 | 2014 | 4 | |
| 17 | 2006 | 4 | |
| 18 | 2012 | 4 | |
| 19 | 2008 | 3 | |
| 20 | 2021 | 3 |
About Jeffrey Copps
Jeffrey Copps is a scholar working on Molecular Biology, Virology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 24 papers that have together received 511 indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (5 papers), Neuropeptides and Animal Physiology (4 papers), Immune Cell Function and Interaction (3 papers), Peptidase Inhibition and Analysis (3 papers), Animal Virus Infections Studies (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Virology (248 citations), Infectious Diseases (194 citations), Immunology (117 citations), Radiology, Nuclear Medicine and Imaging (121 citations) and Molecular Biology (256 citations). Jeffrey Copps has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Andrew B. Ward, Ian A. Wilson, Sándor Lovas, Jonathan L. Torres, Gabriel Ozorowski, Robyn L. Stanfield, John P. Moore, Natalia de Val, Pavel Pugach and Christopher A. Cottrell. Their work appears in journals such as Cell Reports, Nature Communications, Peptides, Biopolymers and Science Advances.
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.