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)Song Cao (4 shared papers)Michael P. Rettig (8 shared papers)Julie Ritchey (6 shared papers)Michael C. Wendl (6 shared papers)Julie O’Neal (5 shared papers)Matthew Cooper (3 shared papers)
- Journals
- Blood (15 papers)Nature Communications (3 papers)Frontiers in Immunology (2 papers)iScience (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Reyka G. Jayasinghe
28 papers receiving 389 citations
Peers
Comparison fields: 5 of 58
- Oncology 156
- Hematology 61
- Cancer Research 79
- Immunology 103
- Molecular Biology 222
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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 66 | |
| 2 | 2022 | 62 | |
| 3 | 2016 | 51 | |
| 4 | 2017 | 46 | |
| 5 | 2022 | 34 | |
| 6 | 2020 | 29 | |
| 7 | 2022 | 21 | |
| 8 | 2020 | 19 | |
| 9 | 2015 | 13 | |
| 10 | 2020 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2024 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2020 | 4 | |
| 15 | 2025 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2022 | 2 |
About Reyka G. Jayasinghe
Reyka G. Jayasinghe is a scholar working on Molecular Biology, Hematology, Oncology, Immunology and Cancer Research, having authored 31 papers that have together received 394 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (13 papers), CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (6 papers), Cancer Genomics and Diagnostics (6 papers), Chemokine receptors and signaling (5 papers), Hematopoietic Stem Cell Transplantation (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 (156 citations), Hematology (61 citations), Cancer Research (79 citations), Immunology (103 citations) and Molecular Biology (222 citations). Reyka G. Jayasinghe has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include John F. DiPersio, Li Ding, Song Cao, Michael P. Rettig, Julie Ritchey, Michael C. Wendl, Julie O’Neal, Matthew Cooper, Miriam Kim and Mingchao Xie. Their work appears in journals such as Blood, Nature Communications, Frontiers in Immunology, iScience and Scientific Reports.
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.