Prashant Kapoor
Impact in
- Hematology top 0.1%
- Multiple Myeloma Research and Treatments
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 217
- Multiple Myeloma Research and Treatments 188
- Chronic Myeloid Leukemia Treatments 30
- Genetics 96
- Chronic Lymphocytic Leukemia Research 68
- Co-authors
- Shaji KumarS. Vincent RajkumarMorie A. GertzAngela DispenzieriMartha Q. LacyFrancis K. BuadiDavid DingliSuzanne R. Hayman
- Journals
- Blood (69 papers)Journal of Clinical Oncology (43 papers)Blood Cancer Journal (25 papers)American Journal of Hematology (23 papers)Leukemia (19 papers)
- Partner nations
- United StatesSaudi ArabiaCanada
In The Last Decade
Prashant Kapoor
305 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Hematology 4.0k
- Genetics 1.3k
- Oncology 2.3k
- Nephrology 400
- Molecular Biology 3.8k
Countries citing papers authored by Prashant Kapoor
This map shows the geographic impact of Prashant Kapoor'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 Prashant Kapoor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashant Kapoor more than expected).
Fields of papers citing papers by Prashant Kapoor
This network shows the impact of papers produced by Prashant Kapoor. 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 Prashant Kapoor. The network helps show where Prashant Kapoor may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Prashant Kapoor, 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 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 13 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 6 | |
| 11 | 2020 | 32 | |
| 12 | 2019 | 12 | |
| 13 | 2019 | 14 | |
| 14 | 2019 | 13 | |
| 15 | 2019 | 31 | |
| 16 | 2018 | 12 | |
| 17 | 2017 | 0 | |
| 18 | 2015 | 22 | |
| 19 | 2013 | 120 | |
| 20 | Therapeutic Strategies For Initial Treatment Of AL Amyloidosis: Implications Of Therapy and Response On Outcome | 2013 | 2 |
About Prashant Kapoor
Prashant Kapoor is a scholar working on Hematology, Genetics, Oncology, Nephrology and Pathology and Forensic Medicine, having authored 327 papers that have together received 6.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (188 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (87 papers), Chronic Lymphocytic Leukemia Research (68 papers), Protein Degradation and Inhibitors (68 papers), Peptidase Inhibition and Analysis (46 papers), Lymphoma Diagnosis and Treatment (40 papers), Cancer Treatment and Pharmacology (32 papers) and Chronic Myeloid Leukemia Treatments (30 papers). The work is most often cited by research in Hematology (4.0k citations), Genetics (1.3k citations), Oncology (2.3k citations), Nephrology (400 citations) and Molecular Biology (3.8k citations). Prashant Kapoor has collaborated with scholars based in United States, Saudi Arabia and Canada. Frequent co-authors include Shaji Kumar, S. Vincent Rajkumar, Morie A. Gertz, Angela Dispenzieri, Martha Q. Lacy, Francis K. Buadi, David Dingli, Suzanne R. Hayman, Robert A. Kyle and Nelson Leung. Their work appears in journals such as Blood, Journal of Clinical Oncology, Blood Cancer Journal, American Journal of Hematology and Leukemia.
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.