Sateesh Krishnamurthy
Impact in
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies
- Epidemiology top 5%
- Virology and Viral Diseases
- Respiratory viral infections research
Papers in
- Epidemiology 12
- Virology and Viral Diseases 9
- Respiratory viral infections research 7
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- RNA Interference and Gene Delivery 5
- Advanced biosensing and bioanalysis techniques 3
- Co-authors
- Siba K. Samal (6 shared papers)Zhuhui Huang (5 shared papers)Aruna Panda (3 shared papers)Toru Takimoto (6 shared papers)Allen Portner (6 shared papers)Ruth Ann Scroggs (4 shared papers)Paul B. McCray (7 shared papers)Christine Wohlford-Lenane (3 shared papers)
- Journals
- Journal of Virology (6 papers)Molecular Therapy — Nucleic Acids (2 papers)Vaccine (2 papers)Virology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Sateesh Krishnamurthy
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 72
- Animal Science and Zoology 245
- Epidemiology 702
- Infectious Diseases 350
- Genetics 280
- Virology 42
Countries citing papers authored by Sateesh Krishnamurthy
This map shows the geographic impact of Sateesh Krishnamurthy'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 Sateesh Krishnamurthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sateesh Krishnamurthy more than expected).
Fields of papers citing papers by Sateesh Krishnamurthy
This network shows the impact of papers produced by Sateesh Krishnamurthy. 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 Sateesh Krishnamurthy. The network helps show where Sateesh Krishnamurthy may publish in the future.
Co-authors
The 25 scholars most cited alongside Sateesh Krishnamurthy, 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 | 2003 | 177 | |
| 2 | 2006 | 137 | |
| 3 | 2000 | 131 | |
| 4 | 2019 | 89 | |
| 5 | 2001 | 75 | |
| 6 | 2004 | 66 | |
| 7 | 2011 | 62 | |
| 8 | 2004 | 60 | |
| 9 | 2007 | 55 | |
| 10 | 2015 | 44 | |
| 11 | 2013 | 41 | |
| 12 | 2004 | 40 | |
| 13 | 2008 | 39 | |
| 14 | 2021 | 38 | |
| 15 | 2005 | 36 | |
| 16 | 1999 | 25 | |
| 17 | 2020 | 14 | |
| 18 | 2012 | 12 | |
| 19 | 2014 | 1 | |
| 20 | 2025 | 0 |
About Sateesh Krishnamurthy
Sateesh Krishnamurthy is a scholar working on Epidemiology, Molecular Biology, Pulmonary and Respiratory Medicine, Infectious Diseases and Genetics, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Virology and Viral Diseases (9 papers), Respiratory viral infections research (7 papers), RNA Interference and Gene Delivery (5 papers), Virus-based gene therapy research (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Cystic Fibrosis Research Advances (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Animal Science and Zoology (245 citations), Epidemiology (702 citations), Infectious Diseases (350 citations), Genetics (280 citations) and Virology (42 citations). Sateesh Krishnamurthy has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Siba K. Samal, Zhuhui Huang, Aruna Panda, Toru Takimoto, Allen Portner, Ruth Ann Scroggs, Paul B. McCray, Christine Wohlford-Lenane, Julia L. Hurwitz and Xiaoyan Zhan. Their work appears in journals such as Journal of Virology, Molecular Therapy — Nucleic Acids, Vaccine, Virology and Nature Communications.
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.