Krishna Narayanan
- Infectious Diseases top 0.2%
- SARS-CoV-2 and COVID-19 Research 23
- Viral gastroenteritis research and epidemiology 19
- Viral Infections and Vectors 8
- Animal Science and Zoology top 0.2%
- Animal Virus Infections Studies 25
- Immunology top 5%
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- Viral Infections and Immunology Research 7
- Neurology top 5%
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- Reconstructive Surgery and Microvascular Techniques 16
- Reconstructive Facial Surgery Techniques 4
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- Vector-Borne Animal Diseases 7
- Co-authors
- Shinji MakinoKumari G. LokugamageCheng HuangWataru KamitaniTetsuro IkegamiChien‐Te K. TsengC. J. PetersJunko Maeda
- Journals
- Journal of Virology (21 papers)Annals of Plastic Surgery (9 papers)Plastic & Reconstructive Surgery (4 papers)
- Partner nations
- United StatesJapanFrance
In The Last Decade
Krishna Narayanan
73 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 120
- Infectious Diseases 3.5k
- Animal Science and Zoology 1.3k
- Immunology 600
- Cardiology and Cardiovascular Medicine 523
- Neurology 261
Countries citing papers authored by Krishna Narayanan
This map shows the geographic impact of Krishna Narayanan'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 Krishna Narayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishna Narayanan more than expected).
Fields of papers citing papers by Krishna Narayanan
This network shows the impact of papers produced by Krishna Narayanan. 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 Krishna Narayanan. The network helps show where Krishna Narayanan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Krishna Narayanan, 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 | 2022 | 43 | |
| 2 | 2020 | 348 | |
| 3 | 2019 | 19 | |
| 4 | 2015 | 113 | |
| 5 | 2014 | 141 | |
| 6 | 2013 | 59 | |
| 7 | 2012 | 38 | |
| 8 | 2011 | 256 | |
| 9 | 2009 | 284 | |
| 10 | 2007 | 134 | |
| 11 | 2001 | 11 | |
| 12 | 1998 | 2 | |
| 13 | 1997 | 33 | |
| 14 | 1997 | 7 | |
| 15 | 1996 | 13 | |
| 16 | 1992 | 13 | |
| 17 | 1992 | 0 | |
| 18 | 1991 | 6 | |
| 19 | 1990 | 5 | |
| 20 | 1986 | 10 |
About Krishna Narayanan
Krishna Narayanan is a scholar working on Animal Science and Zoology, Infectious Diseases, Internal Medicine, Surgery and Rehabilitation, having authored 75 papers that have together received 5.0k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (25 papers), SARS-CoV-2 and COVID-19 Research (23 papers), Viral gastroenteritis research and epidemiology (19 papers), Reconstructive Surgery and Microvascular Techniques (16 papers), Viral Infections and Vectors (8 papers), Viral Infections and Immunology Research (7 papers), Vector-Borne Animal Diseases (7 papers) and Reconstructive Facial Surgery Techniques (4 papers). The work is most often cited by research in Infectious Diseases (3.5k citations), Animal Science and Zoology (1.3k citations), Immunology (600 citations), Cardiology and Cardiovascular Medicine (523 citations) and Neurology (261 citations). Krishna Narayanan has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Shinji Makino, Kumari G. Lokugamage, Cheng Huang, Wataru Kamitani, Tetsuro Ikegami, Chien‐Te K. Tseng, C. J. Peters, Junko Maeda, Naoto Ito and Bert L. Semler. Their work appears in journals such as Journal of Virology, Annals of Plastic Surgery, Plastic & Reconstructive Surgery, Virus Research and Microsurgery.
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.