Reyka G. Jayasinghe
Impact in
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- CAR-T cell therapy research
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- Multiple Myeloma Research and Treatments
Papers in
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- Protein Degradation and Inhibitors 4
- Single-cell and spatial transcriptomics 3
- Hematology 17
- Multiple Myeloma Research and Treatments 13
- Hematopoietic Stem Cell Transplantation 5
- Co-authors
- John F. DiPersio (14 shared papers)Li Ding (13 shared papers)Michael P. Rettig (8 shared papers)Song Cao (4 shared papers)Julie Ritchey (6 shared papers)Julie O’Neal (5 shared papers)Michael C. Wendl (6 shared papers)Matthew Cooper (3 shared papers)
- Journals
- Blood (16 papers)Nature Communications (3 papers)Frontiers in Immunology (2 papers)iScience (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesPhilippinesNetherlands
In The Last Decade
Reyka G. Jayasinghe
29 papers receiving 418 citations
Peers
Comparison fields: 5 of 56
- Oncology 154
- Hematology 60
- Cancer Research 72
- Immunology 97
- Molecular Biology 204
Countries citing papers authored by Reyka G. Jayasinghe
This map shows the geographic impact of Reyka G. Jayasinghe'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 Reyka G. Jayasinghe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reyka G. Jayasinghe more than expected).
Fields of papers citing papers by Reyka G. Jayasinghe
This network shows the impact of papers produced by Reyka G. Jayasinghe. 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 Reyka G. Jayasinghe. The network helps show where Reyka G. Jayasinghe may publish in the future.
Co-authors
The 25 scholars most cited alongside Reyka G. Jayasinghe, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 71 | |
| 2 | 2015 | 66 | |
| 3 | 2016 | 52 | |
| 4 | 2017 | 47 | |
| 5 | 2022 | 35 | |
| 6 | 2020 | 31 | |
| 7 | 2022 | 24 | |
| 8 | 2020 | 20 | |
| 9 | 2015 | 15 | |
| 10 | 2020 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2019 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 3 |
About Reyka G. Jayasinghe
Reyka G. Jayasinghe is a scholar working on Molecular Biology, Hematology, Oncology, Immunology and Cancer Research, having authored 32 papers that have together received 423 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (13 papers), Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (7 papers), Cancer Genomics and Diagnostics (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Chemokine receptors and signaling (5 papers), Protein Degradation and Inhibitors (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Oncology (154 citations), Hematology (60 citations), Cancer Research (72 citations), Immunology (97 citations) and Molecular Biology (204 citations). Reyka G. Jayasinghe has collaborated with scholars based in United States, Philippines and Netherlands. Frequent co-authors include John F. DiPersio, Li Ding, Michael P. Rettig, Song Cao, Julie Ritchey, Julie O’Neal, Michael C. Wendl, Matthew Cooper, Miriam Kim and Beifang Niu. Their work appears in journals such as Blood, Nature Communications, Frontiers in Immunology, iScience and Nature Medicine.
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.