R. Nayak
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology 7
- Immunology top 10%
- Immunotherapy and Immune Responses 15
- T-cell and B-cell Immunology 12
- Immune Cell Function and Interaction 7
- Epidemiology top 10%
- Virology and Viral Diseases 9
- Oncology top 10%
-
- vaccines and immunoinformatics approaches 13
-
- Monoclonal and Polyclonal Antibodies Research 8
-
- Cancer, Hypoxia, and Metabolism 5
- Co-authors
- M.S. ShailaS. SpiegelmanRobert C. SawyerDaniel MartínRobert L. StolfiShibani Mitra‐KaushikNagasuma ChandraM Sirsi
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Cancer (3 papers)Biochemical and Biophysical Research Communications (6 papers)
- Partner nations
- IndiaUnited StatesIsrael
In The Last Decade
R. Nayak
56 papers receiving 977 citations
Peers
Comparison fields: 5 of 73
- Infectious Diseases 256
- Immunology 241
- Epidemiology 312
- Oncology 235
- Molecular Biology 533
Countries citing papers authored by R. Nayak
This map shows the geographic impact of R. Nayak'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 R. Nayak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Nayak more than expected).
Fields of papers citing papers by R. Nayak
This network shows the impact of papers produced by R. Nayak. 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 R. Nayak. The network helps show where R. Nayak may publish in the future.
Co-authorship network
The 25 scholars most cited alongside R. Nayak, 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 | 2008 | 14 | |
| 2 | 2007 | 4 | |
| 3 | 2007 | 14 | |
| 4 | 2006 | 31 | |
| 5 | 2005 | 5 | |
| 6 | 2005 | 8 | |
| 7 | 2004 | 14 | |
| 8 | 2002 | 11 | |
| 9 | 2001 | 44 | |
| 10 | 2001 | 36 | |
| 11 | 2001 | 13 | |
| 12 | 2001 | 10 | |
| 13 | 2001 | 17 | |
| 14 | 1996 | 10 | |
| 15 | Altered ultrastructure of rinderpest virus and its nucleocapsids induced by 5-fluorouracil | 1994 | 4 |
| 16 | 1992 | 2 | |
| 17 | 1990 | 3 | |
| 18 | 1988 | 2 | |
| 19 | 1988 | 7 | |
| 20 | 1973 | 28 |
About R. Nayak
R. Nayak is a scholar working on Immunology, Infectious Diseases and Molecular Biology, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (15 papers), vaccines and immunoinformatics approaches (13 papers), T-cell and B-cell Immunology (12 papers), Virology and Viral Diseases (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Tuberculosis Research and Epidemiology (7 papers), Immune Cell Function and Interaction (7 papers) and Cancer, Hypoxia, and Metabolism (5 papers). The work is most often cited by research in Infectious Diseases (256 citations), Immunology (241 citations) and Epidemiology (312 citations). R. Nayak has collaborated with scholars based in India, United States and Israel. Frequent co-authors include M.S. Shaila, S. Spiegelman, Robert C. Sawyer, Daniel Martín, Robert L. Stolfi, Shibani Mitra‐Kaushik, Nagasuma Chandra, M Sirsi, Gomathinayagam Sinnathamby and Girdhari Lal. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer and Biochemical and Biophysical Research 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.