Cynthia Basu
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
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- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
Papers in
- Oncology 12
- CAR-T cell therapy research 10
- Hematology 11
- Multiple Myeloma Research and Treatments 11
- Co-authors
- Andrzej Jakubowiak (10 shared papers)Alexander M. Lesokhin (11 shared papers)Noopur Raje (11 shared papers)Moshe Levy (10 shared papers)Nizar J. Bahlis (10 shared papers)Michael P. Chu (9 shared papers)Suzanne Trudel (10 shared papers)Andrew Dalovisio (11 shared papers)
- Journals
- Journal of Clinical Oncology (5 papers)Blood (4 papers)Pharmaceutical Statistics (2 papers)Nature Medicine (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesCanadaEgypt
In The Last Decade
Cynthia Basu
21 papers receiving 370 citations
Peers
Comparison fields: 5 of 48
- Hematology 199
- Oncology 230
- Radiology, Nuclear Medicine and Imaging 136
- Statistics and Probability 47
- Immunology 63
Countries citing papers authored by Cynthia Basu
This map shows the geographic impact of Cynthia Basu'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 Cynthia Basu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cynthia Basu more than expected).
Fields of papers citing papers by Cynthia Basu
This network shows the impact of papers produced by Cynthia Basu. 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 Cynthia Basu. The network helps show where Cynthia Basu may publish in the future.
Co-authors
The 25 scholars most cited alongside Cynthia Basu, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 76 | |
| 2 | 2017 | 56 | |
| 3 | 2021 | 41 | |
| 4 | 2019 | 34 | |
| 5 | 2022 | 33 | |
| 6 | 2021 | 31 | |
| 7 | 2020 | 29 | |
| 8 | 2023 | 13 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 11 | |
| 11 | 2016 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2016 | 7 | |
| 14 | 2010 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2021 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2021 | 1 |
About Cynthia Basu
Cynthia Basu is a scholar working on Oncology, Hematology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Organic Chemistry, having authored 24 papers that have together received 382 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (11 papers), CAR-T cell therapy research (10 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Advanced Breast Cancer Therapies (5 papers), Synthesis and Biological Evaluation (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Statistical Methods in Clinical Trials (3 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Hematology (199 citations), Oncology (230 citations), Radiology, Nuclear Medicine and Imaging (136 citations), Statistics and Probability (47 citations) and Immunology (63 citations). Cynthia Basu has collaborated with scholars based in United States, Canada and Egypt. Frequent co-authors include Andrzej Jakubowiak, Alexander M. Lesokhin, Noopur Raje, Moshe Levy, Nizar J. Bahlis, Michael P. Chu, Suzanne Trudel, Andrew Dalovisio, Melhem Solh and Michaël Sébag. Their work appears in journals such as Journal of Clinical Oncology, Blood, Pharmaceutical Statistics, Nature Medicine and Clinical Cancer Research.
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.