Rajat Kumar
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 113
- Hematopoietic Stem Cell Transplantation 68
- Acute Myeloid Leukemia Research 46
- Chronic Myeloid Leukemia Treatments 16
- Genetics 42
- Chronic Lymphocytic Leukemia Research 16
- Myeloproliferative Neoplasms: Diagnosis and Treatment 13
- Co-authors
- Auro Viswabandya (93 shared papers)Arjun Law (95 shared papers)Fotios V. Michelis (91 shared papers)Wilson Lam (83 shared papers)Jeffrey H. Lipton (77 shared papers)Jonas Mattsson (88 shared papers)Dennis Dong Hwan Kim (76 shared papers)Rahul Naithani (13 shared papers)
In The Last Decade
Rajat Kumar
168 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 108
- Hematology 783
- Genetics 263
- Transplantation 60
- Oncology 281
- Orthopedics and Sports Medicine 69
Countries citing papers authored by Rajat Kumar
This map shows the geographic impact of Rajat Kumar'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 Rajat Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajat Kumar more than expected).
Fields of papers citing papers by Rajat Kumar
This network shows the impact of papers produced by Rajat Kumar. 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 Rajat Kumar. The network helps show where Rajat Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Rajat Kumar, 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 187 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 69 | |
| 2 | 2013 | 67 | |
| 3 | 2017 | 49 | |
| 4 | 2020 | 42 | |
| 5 | 2012 | 41 | |
| 6 | 2012 | 40 | |
| 7 | 2016 | 35 | |
| 8 | 2013 | 34 | |
| 9 | 2019 | 32 | |
| 10 | 2020 | 31 | |
| 11 | 2006 | 28 | |
| 12 | 2020 | 27 | |
| 13 | 2021 | 23 | |
| 14 | 2020 | 22 | |
| 15 | 2017 | 22 | |
| 16 | 2019 | 22 | |
| 17 | 2005 | 21 | |
| 18 | 2020 | 21 | |
| 19 | 2011 | 20 | |
| 20 | 2020 | 20 |
About Rajat Kumar
Rajat Kumar is a scholar working on Hematology, Genetics, Public Health, Environmental and Occupational Health, Oncology and Molecular Biology, having authored 187 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (68 papers), Acute Myeloid Leukemia Research (46 papers), Acute Lymphoblastic Leukemia research (23 papers), Chronic Myeloid Leukemia Treatments (16 papers), Chronic Lymphocytic Leukemia Research (16 papers), Polyomavirus and related diseases (13 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (13 papers) and Cytomegalovirus and herpesvirus research (11 papers). The work is most often cited by research in Hematology (783 citations), Genetics (263 citations), Transplantation (60 citations), Oncology (281 citations) and Orthopedics and Sports Medicine (69 citations). Rajat Kumar has collaborated with scholars based in Canada, India and Sweden. Frequent co-authors include Auro Viswabandya, Arjun Law, Fotios V. Michelis, Wilson Lam, Jeffrey H. Lipton, Jonas Mattsson, Dennis Dong Hwan Kim, Rahul Naithani, María Queralt Salas and M. Mahapatra. Their work appears in journals such as Blood, European Journal Of Haematology, Transplantation and Cellular Therapy, Bone Marrow Transplantation and Biology of Blood and Marrow Transplantation.
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.