Ranjit Nair
Impact in
- Oncology top 5%
- CAR-T cell therapy research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Oncology 59
- CAR-T cell therapy research 43
- Viral-associated cancers and disorders 9
-
- Lymphoma Diagnosis and Treatment 48
- Co-authors
- Sattva S. Neelapu (43 shared papers)Jason R. Westin (38 shared papers)Sairah Ahmed (37 shared papers)Loretta J. Nastoupil (40 shared papers)Paolo Strati (30 shared papers)Maria Alma Rodriguez (25 shared papers)Raphaël Steiner (40 shared papers)Swaminathan P. Iyer (28 shared papers)
- Journals
- Blood (27 papers)Journal of Clinical Oncology (12 papers)Blood Advances (5 papers)International Journal of Radiation Oncology*Biology*Physics (5 papers)Advances in Radiation Oncology (3 papers)
- Partner nations
- United StatesSouth KoreaIndia
In The Last Decade
Ranjit Nair
79 papers receiving 718 citations
Peers
Comparison fields: 5 of 75
- Oncology 594
- Pathology and Forensic Medicine 269
- Genetics 62
- Immunology 113
- Dermatology 43
Countries citing papers authored by Ranjit Nair
This map shows the geographic impact of Ranjit 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 Ranjit Nair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranjit Nair more than expected).
Fields of papers citing papers by Ranjit Nair
This network shows the impact of papers produced by Ranjit 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 Ranjit Nair. The network helps show where Ranjit Nair may publish in the future.
Co-authors
The 25 scholars most cited alongside Ranjit 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
Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 136 | |
| 2 | 2020 | 122 | |
| 3 | 2020 | 38 | |
| 4 | 2018 | 33 | |
| 5 | 2020 | 28 | |
| 6 | 2022 | 26 | |
| 7 | 2020 | 25 | |
| 8 | 2022 | 16 | |
| 9 | 2020 | 16 | |
| 10 | 2019 | 14 | |
| 11 | 2023 | 14 | |
| 12 | 2019 | 13 | |
| 13 | 2019 | 13 | |
| 14 | 2016 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2016 | 11 | |
| 17 | 2020 | 11 | |
| 18 | 2019 | 11 | |
| 19 | 2024 | 10 | |
| 20 | 2024 | 9 |
About Ranjit Nair
Ranjit Nair is a scholar working on Oncology, Pathology and Forensic Medicine, Genetics, Neurology and Immunology, having authored 97 papers that have together received 723 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (48 papers), CAR-T cell therapy research (43 papers), Chronic Lymphocytic Leukemia Research (25 papers), CNS Lymphoma Diagnosis and Treatment (11 papers), Viral-associated cancers and disorders (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Cutaneous lymphoproliferative disorders research (6 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Oncology (594 citations), Pathology and Forensic Medicine (269 citations), Genetics (62 citations), Immunology (113 citations) and Dermatology (43 citations). Ranjit Nair has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Sattva S. Neelapu, Jason R. Westin, Sairah Ahmed, Loretta J. Nastoupil, Paolo Strati, Maria Alma Rodriguez, Raphaël Steiner, Swaminathan P. Iyer, Hun Ju Lee and Misha Hawkins. Their work appears in journals such as Blood, Journal of Clinical Oncology, Blood Advances, International Journal of Radiation Oncology*Biology*Physics and Advances in Radiation Oncology.
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.