Rakesh Popat
Impact in
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Oncology top 2%
- Peptidase Inhibition and Analysis
- CAR-T cell therapy research
- Cancer Treatment and Pharmacology
Papers in
- Hematology 134
- Multiple Myeloma Research and Treatments 129
- Oncology 73
- Peptidase Inhibition and Analysis 26
- CAR-T cell therapy research 21
- Cancer Treatment and Pharmacology 15
- Co-authors
- Jamie CavenaghHeather OakerveeKwee YongJoanna OpalinskaNicola CurryCurly MorrisDixie‐Lee EsseltineMary Drake
- Journals
- Blood (53 papers)Journal of Clinical Oncology (22 papers)British Journal of Haematology (10 papers)HemaSphere (8 papers)Blood Cancer Journal (4 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Rakesh Popat
132 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Hematology 1.9k
- Oncology 1.4k
- Genetics 282
- Molecular Biology 1.7k
- Radiology, Nuclear Medicine and Imaging 410
Countries citing papers authored by Rakesh Popat
This map shows the geographic impact of Rakesh Popat'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 Rakesh Popat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rakesh Popat more than expected).
Fields of papers citing papers by Rakesh Popat
This network shows the impact of papers produced by Rakesh Popat. 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 Rakesh Popat. The network helps show where Rakesh Popat may publish in the future.
Co-authors
The 25 scholars most cited alongside Rakesh Popat, 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 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 42 | |
| 12 | 2020 | 7 | |
| 13 | 2020 | 28 | |
| 14 | 2020 | 42 | |
| 15 | 2019 | 36 | |
| 16 | 2018 | 192 | |
| 17 | REAL WORLD USE OF IXAZOMIB WITH LENALIDOMIDE AND DEXAMETHASONE FOR PATIENTS WITH RELAPSED AND RELAPSED REFRACTORY MULTIPLE MYELOMA | 2017 | 5 |
| 18 | 2017 | 1 | |
| 19 | 2016 | 46 | |
| 20 | 2005 | 235 |
About Rakesh Popat
Rakesh Popat is a scholar working on Hematology, Oncology, Genetics, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 154 papers that have together received 2.7k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (129 papers), Protein Degradation and Inhibitors (65 papers), Peptidase Inhibition and Analysis (26 papers), CAR-T cell therapy research (21 papers), Monoclonal and Polyclonal Antibodies Research (20 papers), Cancer Treatment and Pharmacology (15 papers), Histone Deacetylase Inhibitors Research (13 papers) and Chronic Lymphocytic Leukemia Research (12 papers). The work is most often cited by research in Hematology (1.9k citations), Oncology (1.4k citations), Genetics (282 citations), Molecular Biology (1.7k citations) and Radiology, Nuclear Medicine and Imaging (410 citations). Rakesh Popat has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Jamie Cavenagh, Heather Oakervee, Kwee Yong, Joanna Opalinska, Nicola Curry, Curly Morris, Dixie‐Lee Esseltine, Mary Drake, Paul G. Richardson and Suzanne Trudel. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, HemaSphere and Blood Cancer Journal.
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.