Jeffrey M. Jacobson
- Virology top 0.2%
- Infectious Diseases top 0.5%
- Epidemiology top 2%
- Immunology top 2%
- Molecular Biology top 10%
- Co-authors
- Michael M. LedermanJohn SpritzlerRonald J. BoschWilliam C. OlsonDaniel R. KuritzkesMiriam ChernoffWilliam G. PowderlyEllen S. Chan
- Topics
- HIV Research and Treatment (78 papers)HIV/AIDS Research and Interventions (40 papers)HIV/AIDS drug development and treatment (39 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesNature Medicine
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jeffrey M. Jacobson
127 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 124
- Virology 2.5k
- Infectious Diseases 2.1k
- Epidemiology 1.4k
- Immunology 1.3k
- Molecular Biology 828
Countries citing papers authored by Jeffrey M. Jacobson
This map shows the geographic impact of Jeffrey M. Jacobson'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 M. Jacobson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey M. Jacobson more than expected).
Fields of papers citing papers by Jeffrey M. Jacobson
This network shows the impact of papers produced by Jeffrey M. Jacobson. 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 M. Jacobson. The network helps show where Jeffrey M. Jacobson may publish in the future.
Co-authorship network of co-authors of Jeffrey M. Jacobson
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey M. Jacobson. A scholar is included among the top collaborators of Jeffrey M. Jacobson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeffrey M. Jacobson. Jeffrey M. Jacobson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 37 | |
| 6 | 12 | |
| 7 | 45 | |
| 8 | 14 | |
| 9 | 5 | |
| 10 | 8 | |
| 11 | 3 | |
| 12 | 15 | |
| 13 | 242 | |
| 14 | 91 | |
| 15 | 125 | |
| 16 | 8 | |
| 17 | 14 | |
| 18 | 30 | |
| 19 | 115 | |
| 20 | 293 |
About Jeffrey M. Jacobson
Jeffrey M. Jacobson is a scholar working on Virology, Infectious Diseases and Hepatology, having authored 133 papers that have together received 5.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (78 papers), HIV/AIDS Research and Interventions (40 papers) and HIV/AIDS drug development and treatment (39 papers). The work is most often cited by research in Virology (2.5k citations), Infectious Diseases (2.1k citations) and Immunology (1.3k citations). Jeffrey M. Jacobson has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Michael M. Lederman, John Spritzler, Ronald J. Bosch, William C. Olson, Daniel R. Kuritzkes, Miriam Chernoff, William G. Powderly, Ellen S. Chan, Rajesh T. Gandhi and J. Brooks Jackson. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nature Medicine.
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.