Rupa Narayan
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
-
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Hematology 18
- Acute Myeloid Leukemia Research 9
- Chronic Myeloid Leukemia Treatments 6
- Multiple Myeloma Research and Treatments 5
- Oncology 10
- CAR-T cell therapy research 5
- Co-authors
- Rajni Rani (1 shared paper)Gabriela Hobbs (11 shared papers)Noah Craft (2 shared papers)Andrew M. Brunner (11 shared papers)Kevin W. Bruhn (2 shared papers)Abhishek Goyal (1 shared paper)Rosa Rodríguez (1 shared paper)Thomas W. Flaig (1 shared paper)
- Journals
- Blood (12 papers)The Oncologist (2 papers)Blood Advances (2 papers)Transplantation and Cellular Therapy (1 paper)HemaSphere (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Rupa Narayan
30 papers receiving 358 citations
Peers
Comparison fields: 5 of 52
- Hematology 99
- Immunology 117
- Oncology 104
- Rheumatology 29
- Genetics 18
Countries citing papers authored by Rupa Narayan
This map shows the geographic impact of Rupa Narayan'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 Rupa Narayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rupa Narayan more than expected).
Fields of papers citing papers by Rupa Narayan
This network shows the impact of papers produced by Rupa Narayan. 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 Rupa Narayan. The network helps show where Rupa Narayan may publish in the future.
Co-authors
The 25 scholars most cited alongside Rupa Narayan, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 54 | |
| 2 | 2011 | 45 | |
| 3 | 2019 | 34 | |
| 4 | 2020 | 28 | |
| 5 | 2012 | 26 | |
| 6 | 2020 | 24 | |
| 7 | 1998 | 24 | |
| 8 | 2015 | 18 | |
| 9 | 2024 | 17 | |
| 10 | 2019 | 17 | |
| 11 | 2018 | 11 | |
| 12 | 2015 | 9 | |
| 13 | 2023 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 2019 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 2018 | 4 | |
| 20 | 2022 | 4 |
About Rupa Narayan
Rupa Narayan is a scholar working on Hematology, Oncology, Genetics, Immunology and Molecular Biology, having authored 34 papers that have together received 367 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Chronic Myeloid Leukemia Treatments (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), CAR-T cell therapy research (5 papers), Multiple Myeloma Research and Treatments (5 papers), Acute Lymphoblastic Leukemia research (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Hematology (99 citations), Immunology (117 citations), Oncology (104 citations), Rheumatology (29 citations) and Genetics (18 citations). Rupa Narayan has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Rajni Rani, Gabriela Hobbs, Noah Craft, Andrew M. Brunner, Kevin W. Bruhn, Abhishek Goyal, Rosa Rodríguez, Thomas W. Flaig, Lichao Zhang and Amir T. Fathi. Their work appears in journals such as Blood, The Oncologist, Blood Advances, Transplantation and Cellular Therapy and HemaSphere.
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.