Nitya Nair
- Immunology top 5%
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology 4
- Biotechnology top 10%
- Cancer Research and Treatments 8
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers 3
- Pancreatic and Hepatic Oncology Research 3
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies 6
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- Virology and Viral Diseases 5
- Respiratory viral infections research 4
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- Viral Infections and Immunology Research 5
- Co-authors
- Harry B. GreenbergEvan W. NewellMark M. DavisNatalia SigalBrian KiddFunda Meric‐BernstamJason J. LukeNancy Lewis
- Journals
- Journal of Clinical Oncology (8 papers)Clinical Cancer Research (2 papers)Clinical and Vaccine Immunology (2 papers)
- Partner nations
- United StatesSwitzerlandSingapore
In The Last Decade
Nitya Nair
26 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Immunology 680
- Infectious Diseases 379
- Biotechnology 86
- Oncology 261
- Animal Science and Zoology 93
Countries citing papers authored by Nitya Nair
This map shows the geographic impact of Nitya Nair'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 Nitya Nair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitya Nair more than expected).
Fields of papers citing papers by Nitya Nair
This network shows the impact of papers produced by Nitya Nair. 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 Nitya Nair. The network helps show where Nitya Nair may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nitya Nair, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | Phase I Dose-Escalation Trial of MIW815 (ADU-S100), an Intratumoral STING Agonist, in Patients with Advanced/Metastatic Solid Tumors or Lymphomasbreakdown → | 2021 | 240 |
| 4 | 2020 | 17 | |
| 5 | 2019 | 88 | |
| 6 | 2019 | 140 | |
| 7 | 2019 | 1 | |
| 8 | 2017 | 39 | |
| 9 | 2017 | 84 | |
| 10 | 2017 | 5 | |
| 11 | 2016 | 3 | |
| 12 | 2016 | 2 | |
| 13 | 2015 | 44 | |
| 14 | 2015 | 9 | |
| 15 | 2015 | 35 | |
| 16 | 2012 | 65 | |
| 17 | 2009 | 52 | |
| 18 | 2008 | 34 | |
| 19 | 2007 | 54 | |
| 20 | 1993 | 7 |
About Nitya Nair
Nitya Nair is a scholar working on Biotechnology, Animal Science and Zoology and Infectious Diseases, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Research and Treatments (8 papers), Animal Virus Infections Studies (6 papers), Virology and Viral Diseases (5 papers), Viral Infections and Immunology Research (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Respiratory viral infections research (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Pancreatic and Hepatic Oncology Research (3 papers). The work is most often cited by research in Immunology (680 citations), Infectious Diseases (379 citations) and Biotechnology (86 citations). Nitya Nair has collaborated with scholars based in United States, Switzerland and Singapore. Frequent co-authors include Harry B. Greenberg, Evan W. Newell, Mark M. Davis, Natalia Sigal, Brian Kidd, Funda Meric‐Bernstam, Jason J. Luke, Nancy Lewis, Diane E. Griffin and Thomas W. Dubensky. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, Clinical and Vaccine Immunology, The Journal of Infectious Diseases and Proceedings of the National Academy of Sciences.
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.