Dipenkumar Modi
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Transplantation top 10%
Papers in
- Oncology 35
- CAR-T cell therapy research 19
- Polyomavirus and related diseases 6
- Hematology 27
- Hematopoietic Stem Cell Transplantation 23
- Acute Myeloid Leukemia Research 7
- Co-authors
- Joseph P. Uberti (30 shared papers)Seongho Kim (27 shared papers)Voravit Ratanatharathorn (27 shared papers)Abhinav Deol (28 shared papers)Lois Ayash (27 shared papers)Divaya Bhutani (4 shared papers)Hyejeong Jang (6 shared papers)Hirva Mamdani (1 shared paper)
- Journals
- Blood (17 papers)Journal of Clinical Oncology (10 papers)Transplantation and Cellular Therapy (3 papers)Bone Marrow Transplantation (2 papers)Hematological Oncology (2 papers)
- Partner nations
- United StatesItalyThailand
In The Last Decade
Dipenkumar Modi
53 papers receiving 289 citations
Peers
Comparison fields: 5 of 37
- Hematology 134
- Transplantation 17
- Oncology 113
- Pathology and Forensic Medicine 59
- Immunology 62
Countries citing papers authored by Dipenkumar Modi
This map shows the geographic impact of Dipenkumar Modi'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 Dipenkumar Modi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipenkumar Modi more than expected).
Fields of papers citing papers by Dipenkumar Modi
This network shows the impact of papers produced by Dipenkumar Modi. 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 Dipenkumar Modi. The network helps show where Dipenkumar Modi may publish in the future.
Co-authors
The 25 scholars most cited alongside Dipenkumar Modi, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 29 | |
| 2 | 2021 | 29 | |
| 3 | 2017 | 22 | |
| 4 | 2016 | 20 | |
| 5 | 2016 | 17 | |
| 6 | 2021 | 14 | |
| 7 | 2022 | 13 | |
| 8 | 2019 | 11 | |
| 9 | 2017 | 9 | |
| 10 | 2020 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2019 | 8 | |
| 13 | 2016 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2019 | 7 | |
| 16 | 2023 | 5 | |
| 17 | 2012 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2021 | 5 |
About Dipenkumar Modi
Dipenkumar Modi is a scholar working on Oncology, Hematology, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health and Immunology, having authored 62 papers that have together received 296 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (23 papers), Lymphoma Diagnosis and Treatment (23 papers), CAR-T cell therapy research (19 papers), Acute Lymphoblastic Leukemia research (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Acute Myeloid Leukemia Research (7 papers), Polyomavirus and related diseases (6 papers) and Chronic Lymphocytic Leukemia Research (5 papers). The work is most often cited by research in Hematology (134 citations), Transplantation (17 citations), Oncology (113 citations), Pathology and Forensic Medicine (59 citations) and Immunology (62 citations). Dipenkumar Modi has collaborated with scholars based in United States, Italy and Thailand. Frequent co-authors include Joseph P. Uberti, Seongho Kim, Voravit Ratanatharathorn, Abhinav Deol, Lois Ayash, Divaya Bhutani, Hyejeong Jang, Hirva Mamdani, Clara Hwang and Ulka N. Vaishampayan. Their work appears in journals such as Blood, Journal of Clinical Oncology, Transplantation and Cellular Therapy, Bone Marrow Transplantation and Hematological 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.