Reyka G. Jayasinghe

20.0k total citations
31 papers, 394 citations indexed

About

Reyka G. Jayasinghe is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Reyka G. Jayasinghe has authored 31 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 17 papers in Hematology and 14 papers in Oncology. Recurrent topics in Reyka G. Jayasinghe's work include Multiple Myeloma Research and Treatments (13 papers), CAR-T cell therapy research (6 papers) and Immune Cell Function and Interaction (6 papers). Reyka G. Jayasinghe is often cited by papers focused on Multiple Myeloma Research and Treatments (13 papers), CAR-T cell therapy research (6 papers) and Immune Cell Function and Interaction (6 papers). Reyka G. Jayasinghe collaborates with scholars based in United States, Australia and Netherlands. Reyka G. Jayasinghe's 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 Steven M. Foltz and has published in prestigious journals such as Nature Medicine, Nature Communications and Blood.

In The Last Decade

Reyka G. Jayasinghe

28 papers receiving 389 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Reyka G. Jayasinghe United States 9 222 156 103 79 66 31 394
Ivana Heřmanová Czechia 9 198 0.9× 97 0.6× 132 1.3× 84 1.1× 36 0.5× 16 406
Mirco Compagnone Italy 13 296 1.3× 234 1.5× 115 1.1× 56 0.7× 30 0.5× 23 479
Susan K. Rathe United States 12 234 1.1× 100 0.6× 87 0.8× 84 1.1× 45 0.7× 18 390
Mark Wade United Kingdom 12 326 1.5× 140 0.9× 56 0.5× 89 1.1× 50 0.8× 24 478
Talía Velasco-Hernández Spain 12 367 1.7× 358 2.3× 125 1.2× 137 1.7× 54 0.8× 20 692
Omer Gilan Australia 10 253 1.1× 93 0.6× 43 0.4× 92 1.2× 31 0.5× 13 362
Cristina Baricordi Italy 7 295 1.3× 139 0.9× 170 1.7× 59 0.7× 133 2.0× 10 532
Antonella Padella Italy 9 184 0.8× 104 0.7× 52 0.5× 64 0.8× 43 0.7× 20 323
Claire Mazumdar United States 4 241 1.1× 289 1.9× 316 3.1× 90 1.1× 33 0.5× 4 585
Qing Tong China 13 304 1.4× 110 0.7× 199 1.9× 120 1.5× 15 0.2× 32 573

Countries citing papers authored by Reyka G. Jayasinghe

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Reyka G. Jayasinghe

This figure shows the co-authorship network connecting the top 25 collaborators of Reyka G. Jayasinghe. A scholar is included among the top collaborators of Reyka G. Jayasinghe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Reyka G. Jayasinghe. Reyka G. Jayasinghe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jayasinghe, Reyka G., Biki Gupta, Hao Yan, et al.. (2025). Single-cell transcriptomic profiling reveals diversity in human iNKT cells across hematologic tissues. Cell Reports. 44(5). 115587–115587. 3 indexed citations
2.
3.
O’Neal, Julie, Melissa Mavers, Reyka G. Jayasinghe, & John F. DiPersio. (2024). Traversing the bench to bedside journey for iNKT cell therapies. Frontiers in Immunology. 15. 1436968–1436968. 5 indexed citations
4.
Rodrigues, Fernanda Martins, Jagoda Jasielec, Yize Li, et al.. (2024). Germline predisposition in multiple myeloma. iScience. 28(1). 111620–111620.
5.
Abboud, Ramzi, Mark A. Schroeder, Michael P. Rettig, et al.. (2024). Itacitinib for prevention of graft-versus-host disease and cytokine release syndrome in haploidentical transplantation. Blood. 145(13). 1382–1394. 1 indexed citations
6.
Dang, Ha X., Reyka G. Jayasinghe, Sidi Zhao, et al.. (2023). Single-cell transcriptomics reveals long noncoding RNAs associated with tumor biology and the microenvironment in pancreatic cancer. NAR Cancer. 5(4). zcad055–zcad055. 1 indexed citations
7.
Abboud, Ramzi, Sena Kim, Karl Staser, et al.. (2023). Baricitinib with cyclosporine eliminates acute graft rejection in fully mismatched skin and heart transplant models. Frontiers in Immunology. 14. 1264496–1264496. 3 indexed citations
8.
Eteleeb, Abdallah M., Cynthia Y. Tang, Emily B. Rozycki, et al.. (2022). LINC00355 regulates p27KIP expression by binding to MENIN to induce proliferation in late-stage relapse breast cancer. npj Breast Cancer. 8(1). 49–49. 7 indexed citations
9.
Storrs, Erik, Daniel Cui Zhou, Michael C. Wendl, et al.. (2022). Pollock: fishing for cell states. Bioinformatics Advances. 2(1). vbac028–vbac028. 2 indexed citations
10.
O’Neal, Julie, Julie Ritchey, Matthew Cooper, et al.. (2022). CS1 CAR-T targeting the distal domain of CS1 (SLAMF7) shows efficacy in high tumor burden myeloma model despite fratricide of CD8+CS1 expressing CAR-T cells. Leukemia. 36(6). 1625–1634. 34 indexed citations
11.
Kim, Miriam, Reyka G. Jayasinghe, Jessica M. Devenport, et al.. (2022). A long-acting interleukin-7, rhIL-7-hyFc, enhances CAR T cell expansion, persistence, and anti-tumor activity. Nature Communications. 13(1). 3296–3296. 62 indexed citations
12.
Pilcher, William, Beena Thomas, Swati S. Bhasin, et al.. (2021). Characterization of T-Cell Exhaustion in Rapid Progressing Multiple Myeloma Using Cross Center Scrna-Seq Study. Blood. 138(Supplement 1). 401–401. 5 indexed citations
13.
14.
Cao, Song, Daniel Cui Zhou, Clara Oh, et al.. (2020). Discovery of driver non-coding splice-site-creating mutations in cancer. Nature Communications. 11(1). 5573–5573. 19 indexed citations
15.
Foltz, Steven M., Qingsong Gao, Christopher J. Yoon, et al.. (2020). Evolution and structure of clinically relevant gene fusions in multiple myeloma. Nature Communications. 11(1). 2666–2666. 29 indexed citations
16.
Jayasinghe, Reyka G., John S.A. Chrisinger, Bethany C. Prudner, et al.. (2019). Whole exome sequencing reveals the maintained polyclonal nature from primary to metastatic malignant peripheral nerve sheath tumor in two patients with NF1. Neuro-Oncology Advances. 2(Supplement_1). i75–i84. 3 indexed citations
17.
Marshall, Amy D., Charles G. Bailey, Cynthia Metierre, et al.. (2017). CTCF genetic alterations in endometrial carcinoma are pro-tumorigenic. Oncogene. 36(29). 4100–4110. 46 indexed citations
18.
Cao, Song, Michael C. Wendl, Matthew A. Wyczalkowski, et al.. (2016). Divergent viral presentation among human tumors and adjacent normal tissues. Scientific Reports. 6(1). 28294–28294. 51 indexed citations
19.
Arsuaga, Javier, et al.. (2015). Current theoretical models fail to predict the topological complexity of the human genome. Frontiers in Molecular Biosciences. 2. 48–48. 13 indexed citations
20.
Ye, Kai, Jiayin Wang, Reyka G. Jayasinghe, et al.. (2015). Systematic discovery of complex insertions and deletions in human cancers. Nature Medicine. 22(1). 97–104. 66 indexed citations

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.

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