Jaison Jacob
Impact in
- Virology top 5%
- HIV Research and Treatment
- Microbiology top 5%
Papers in
-
- Protein Structure and Dynamics 9
- RNA and protein synthesis mechanisms 4
- DNA and Nucleic Acid Chemistry 4
- ATP Synthase and ATPases Research 3
- Co-authors
- David S. Cafiso (4 shared papers)Dennis A. Torchia (5 shared papers)Yun‐Xing Wang (3 shared papers)Hervé Duclohier (1 shared paper)John M. Louis (2 shared papers)I. M. Kustanovich (1 shared paper)Darón I. Freedberg (1 shared paper)Rieko Ishima (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Journal of Global Health (3 papers)Journal of Biomolecular NMR (2 papers)Journal of Medicinal Chemistry (2 papers)BMJ (2 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Jaison Jacob
50 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 128
- Virology 116
- Microbiology 92
- Molecular Biology 848
- Infectious Diseases 187
- Modeling and Simulation 41
Countries citing papers authored by Jaison Jacob
This map shows the geographic impact of Jaison Jacob'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 Jaison Jacob with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaison Jacob more than expected).
Fields of papers citing papers by Jaison Jacob
This network shows the impact of papers produced by Jaison Jacob. 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 Jaison Jacob. The network helps show where Jaison Jacob may publish in the future.
Co-authors
The 25 scholars most cited alongside Jaison Jacob, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 182 | |
| 2 | 1999 | 114 | |
| 3 | 2004 | 105 | |
| 4 | 1999 | 80 | |
| 5 | 1997 | 76 | |
| 6 | 2008 | 75 | |
| 7 | 2004 | 71 | |
| 8 | 1999 | 63 | |
| 9 | 2008 | 57 | |
| 10 | 1999 | 54 | |
| 11 | 2015 | 48 | |
| 12 | 2005 | 48 | |
| 13 | 2005 | 35 | |
| 14 | 2005 | 30 | |
| 15 | 2010 | 30 | |
| 16 | 2000 | 26 | |
| 17 | 1999 | 24 | |
| 18 | 2021 | 22 | |
| 19 | 2021 | 22 | |
| 20 | 2020 | 16 |
About Jaison Jacob
Jaison Jacob is a scholar working on Molecular Biology, Infectious Diseases, Clinical Psychology, General Health Professions and Economics and Econometrics, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), COVID-19 Pandemic Impacts (8 papers), COVID-19 epidemiological studies (6 papers), COVID-19 and Mental Health (6 papers), RNA and protein synthesis mechanisms (4 papers), DNA and Nucleic Acid Chemistry (4 papers), ATP Synthase and ATPases Research (3 papers) and Vaccine Coverage and Hesitancy (3 papers). The work is most often cited by research in Virology (116 citations), Microbiology (92 citations), Molecular Biology (848 citations), Infectious Diseases (187 citations) and Modeling and Simulation (41 citations). Jaison Jacob has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include David S. Cafiso, Dennis A. Torchia, Yun‐Xing Wang, Hervé Duclohier, John M. Louis, I. M. Kustanovich, Darón I. Freedberg, Rieko Ishima, Frank D. Sönnichsen and Marcin Nowotny. Their work appears in journals such as Journal of Biological Chemistry, Journal of Global Health, Journal of Biomolecular NMR, Journal of Medicinal Chemistry and BMJ.
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.