Tapan M. Kadia
- Hematology top 0.02%
- Acute Myeloid Leukemia Research 496
- Chronic Myeloid Leukemia Treatments 258
- Multiple Myeloma Research and Treatments 74
- Genetics top 0.1%
- Chronic Lymphocytic Leukemia Research 218
- Myeloproliferative Neoplasms: Diagnosis and Treatment 148
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- Acute Lymphoblastic Leukemia research 201
- Oncology top 1%
- Molecular Biology top 1%
- Histone Deacetylase Inhibitors Research 107
- Protein Degradation and Inhibitors 72
- Co-authors
- Hagop M. KantarjianFarhad RavandiGuillermo Garcia‐ManeroElias JabbourJörge E. CortesGautam BorthakurMarina KonoplevaNaval Daver
- Journals
- Journal of Clinical Oncology (89 papers)SHILAP Revista de lepidopterología (3 papers)Blood (358 papers)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Tapan M. Kadia
713 papers receiving 13.1k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Hematology 9.8k
- Genetics 3.9k
- Public Health, Environmental and Occupational Health 3.0k
- Oncology 2.7k
- Molecular Biology 5.4k
Countries citing papers authored by Tapan M. Kadia
This map shows the geographic impact of Tapan M. Kadia'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 Tapan M. Kadia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tapan M. Kadia more than expected).
Fields of papers citing papers by Tapan M. Kadia
This network shows the impact of papers produced by Tapan M. Kadia. 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 Tapan M. Kadia. The network helps show where Tapan M. Kadia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tapan M. Kadia, 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 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 0 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 25 | |
| 14 | 2019 | 11 | |
| 15 | 2019 | 85 | |
| 16 | 2019 | 67 | |
| 17 | 2018 | 1 | |
| 18 | 2018 | 16 | |
| 19 | 2017 | 1 | |
| 20 | 2014 | 70 |
About Tapan M. Kadia
Tapan M. Kadia is a scholar working on Hematology, Genetics and Public Health, Environmental and Occupational Health, having authored 778 papers that have together received 13.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (496 papers), Chronic Myeloid Leukemia Treatments (258 papers), Chronic Lymphocytic Leukemia Research (218 papers), Acute Lymphoblastic Leukemia research (201 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (148 papers), Histone Deacetylase Inhibitors Research (107 papers), Multiple Myeloma Research and Treatments (74 papers) and Protein Degradation and Inhibitors (72 papers). The work is most often cited by research in Hematology (9.8k citations), Genetics (3.9k citations) and Public Health, Environmental and Occupational Health (3.0k citations). Tapan M. Kadia has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Hagop M. Kantarjian, Farhad Ravandi, Guillermo Garcia‐Manero, Elias Jabbour, Jörge E. Cortes, Gautam Borthakur, Marina Konopleva, Naval Daver, Courtney D. DiNardo and Naveen Pemmaraju. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.