Uma Thanarajasingam
Impact in
Papers in
- Oncology 17
- Cancer Immunotherapy and Biomarkers 10
- CAR-T cell therapy research 5
- Immunology 13
- Immunotherapy and Immune Responses 7
- Immune Cell Function and Interaction 5
- Co-authors
- Svetomir N. Markovic (3 shared papers)Richard G. Vile (6 shared papers)Michael Richter (4 shared papers)Lisa A. Kottschade (3 shared papers)Heidi D. Finnes (3 shared papers)Michael J. Gough (3 shared papers)Cynthia S. Crowson (6 shared papers)Marka R. Crittenden (2 shared papers)
- Journals
- Arthritis & Rheumatology (4 papers)Mayo Clinic Proceedings (2 papers)ACR Open Rheumatology (2 papers)Human Gene Therapy (1 paper)Molecular Therapy (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Uma Thanarajasingam
31 papers receiving 770 citations
Peers
Comparison fields: 5 of 74
- Oncology 436
- Genetics 151
- Immunology 232
- Pathology and Forensic Medicine 108
- Rheumatology 79
Countries citing papers authored by Uma Thanarajasingam
This map shows the geographic impact of Uma Thanarajasingam'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 Uma Thanarajasingam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uma Thanarajasingam more than expected).
Fields of papers citing papers by Uma Thanarajasingam
This network shows the impact of papers produced by Uma Thanarajasingam. 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 Uma Thanarajasingam. The network helps show where Uma Thanarajasingam may publish in the future.
Co-authors
The 25 scholars most cited alongside Uma Thanarajasingam, 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 | 2018 | 111 | |
| 2 | 2000 | 109 | |
| 3 | 2018 | 77 | |
| 4 | 2017 | 72 | |
| 5 | 2009 | 72 | |
| 6 | 2004 | 60 | |
| 7 | 2005 | 51 | |
| 8 | 2012 | 35 | |
| 9 | 2007 | 33 | |
| 10 | 2016 | 19 | |
| 11 | 2014 | 15 | |
| 12 | 2007 | 14 | |
| 13 | 2020 | 14 | |
| 14 | 2017 | 14 | |
| 15 | 2021 | 12 | |
| 16 | 2021 | 11 | |
| 17 | 2011 | 9 | |
| 18 | 2019 | 9 | |
| 19 | 2023 | 8 | |
| 20 | 2019 | 6 |
About Uma Thanarajasingam
Uma Thanarajasingam is a scholar working on Oncology, Immunology, Rheumatology, Genetics and Genetics, having authored 32 papers that have together received 781 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (10 papers), Systemic Lupus Erythematosus Research (8 papers), Immunotherapy and Immune Responses (7 papers), Virus-based gene therapy research (5 papers), CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (5 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). The work is most often cited by research in Oncology (436 citations), Genetics (151 citations), Immunology (232 citations), Pathology and Forensic Medicine (108 citations) and Rheumatology (79 citations). Uma Thanarajasingam has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Svetomir N. Markovic, Richard G. Vile, Michael Richter, Lisa A. Kottschade, Heidi D. Finnes, Michael J. Gough, Cynthia S. Crowson, Marka R. Crittenden, Jill Thompson and Dragan Jevremović. Their work appears in journals such as Arthritis & Rheumatology, Mayo Clinic Proceedings, ACR Open Rheumatology, Human Gene Therapy and Molecular Therapy.
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.