John S. Albin
Impact in
- Virology top 1%
- HIV Research and Treatment
- Infectious Diseases top 5%
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in
-
- HIV/AIDS drug development and treatment 9
- Tuberculosis Research and Epidemiology 2
- HIV/AIDS Research and Interventions 2
- Virology 12
- HIV Research and Treatment 11
- Co-authors
- Reuben S. Harris (11 shared papers)Keisuke Shindo (3 shared papers)William L. Brown (4 shared papers)Mark D. Stenglein (1 shared paper)Eric W. Refsland (1 shared paper)Guylaine Haché (2 shared papers)Hiroshi Matsuo (3 shared papers)Judd F. Hultquist (2 shared papers)
- Journals
- Journal of Virology (2 papers)Current Biology (1 paper)Chem (1 paper)Cell Reports (1 paper)Structure (1 paper)
- Partner nations
- United StatesIreland
In The Last Decade
John S. Albin
18 papers receiving 827 citations
Peers
Comparison fields: 5 of 54
- Virology 594
- Infectious Diseases 364
- Immunology 237
- Epidemiology 252
- Molecular Biology 333
Countries citing papers authored by John S. Albin
This map shows the geographic impact of John S. Albin'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 John S. Albin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John S. Albin more than expected).
Fields of papers citing papers by John S. Albin
This network shows the impact of papers produced by John S. Albin. 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 John S. Albin. The network helps show where John S. Albin may publish in the future.
Co-authors
The 25 scholars most cited alongside John S. Albin, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 293 | |
| 2 | 2010 | 154 | |
| 3 | 2013 | 83 | |
| 4 | 2008 | 65 | |
| 5 | 2010 | 44 | |
| 6 | 2010 | 42 | |
| 7 | 2018 | 31 | |
| 8 | 2015 | 29 | |
| 9 | 2013 | 22 | |
| 10 | 2013 | 20 | |
| 11 | 2014 | 12 | |
| 12 | 2008 | 11 | |
| 13 | 2020 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2021 | 5 | |
| 16 | 2024 | 3 | |
| 17 | 2021 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About John S. Albin
John S. Albin is a scholar working on Infectious Diseases, Virology, Molecular Biology, Immunology and Epidemiology, having authored 21 papers that have together received 830 indexed citations. Recurring topics across this work include HIV Research and Treatment (11 papers), HIV/AIDS drug development and treatment (9 papers), Immune Cell Function and Interaction (5 papers), Tuberculosis Research and Epidemiology (2 papers), HIV/AIDS Research and Interventions (2 papers), RNA Research and Splicing (2 papers), Antimicrobial Peptides and Activities (2 papers) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Virology (594 citations), Infectious Diseases (364 citations), Immunology (237 citations), Epidemiology (252 citations) and Molecular Biology (333 citations). John S. Albin has collaborated with scholars based in United States and Ireland. Frequent co-authors include Reuben S. Harris, Keisuke Shindo, William L. Brown, Mark D. Stenglein, Eric W. Refsland, Guylaine Haché, Hiroshi Matsuo, Judd F. Hultquist, Elena Harjes and Brett D. Anderson. Their work appears in journals such as Journal of Virology, Current Biology, Chem, Cell Reports and Structure.
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.