Kal Ramnarayan
Impact in
- Virology top 10%
- HIV Research and Treatment
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- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in
-
- RNA and protein synthesis mechanisms 2
- Protein Structure and Dynamics 2
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- HIV/AIDS drug development and treatment 3
- Co-authors
- E Maggio (3 shared papers)Mark D. Shenderovich (4 shared papers)Jing Wang (1 shared paper)Ron M. Kagan (3 shared papers)Peter N.R. Heseltine (2 shared papers)Philip C. Bourne (2 shared papers)Richard A. Bunce (2 shared papers)K. Darrell Berlin (2 shared papers)
- Journals
- Drug Discovery Today (2 papers)Protein Science (2 papers)The Journal of Antibiotics (1 paper)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)Journal of Computer-Aided Molecular Design (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Kal Ramnarayan
10 papers receiving 177 citations
Peers
Comparison fields: 5 of 61
- Virology 53
- Infectious Diseases 69
- Computational Theory and Mathematics 39
- Molecular Biology 110
- Spectroscopy 24
Countries citing papers authored by Kal Ramnarayan
This map shows the geographic impact of Kal Ramnarayan'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 Kal Ramnarayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kal Ramnarayan more than expected).
Fields of papers citing papers by Kal Ramnarayan
This network shows the impact of papers produced by Kal Ramnarayan. 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 Kal Ramnarayan. The network helps show where Kal Ramnarayan may publish in the future.
Co-authors
The 17 scholars most cited alongside Kal Ramnarayan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 36 | |
| 2 | 1999 | 36 | |
| 3 | 2005 | 34 | |
| 4 | 2003 | 28 | |
| 5 | 2001 | 13 | |
| 6 | 2012 | 12 | |
| 7 | 2012 | 10 | |
| 8 | 2002 | 9 | |
| 9 | 2012 | 8 | |
| 10 | 2003 | 4 |
About Kal Ramnarayan
Kal Ramnarayan is a scholar working on Molecular Biology, Infectious Diseases, Virology, Ecology and Molecular Medicine, having authored 10 papers that have together received 190 indexed citations. Recurring topics across this work include HIV Research and Treatment (3 papers), Bacteriophages and microbial interactions (3 papers), HIV/AIDS drug development and treatment (3 papers), RNA and protein synthesis mechanisms (2 papers), Bacterial Genetics and Biotechnology (2 papers), Enzyme Structure and Function (2 papers), Protein Structure and Dynamics (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Virology (53 citations), Infectious Diseases (69 citations), Computational Theory and Mathematics (39 citations), Molecular Biology (110 citations) and Spectroscopy (24 citations). Kal Ramnarayan has collaborated with scholars based in United States and India. Frequent co-authors include E Maggio, Mark D. Shenderovich, Jing Wang, Ron M. Kagan, Peter N.R. Heseltine, Philip C. Bourne, Richard A. Bunce, K. Darrell Berlin, Shankari E. Mylvaganam and Christina R. Bourne. Their work appears in journals such as Drug Discovery Today, Protein Science, The Journal of Antibiotics, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics and Journal of Computer-Aided Molecular Design.
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.