Uma Sundram
Impact in
- Dermatology top 0.2%
- Cutaneous lymphoproliferative disorders research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Dermatology 34
- Cutaneous lymphoproliferative disorders research 30
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- Lymphoma Diagnosis and Treatment 18
- Tumors and Oncological Cases 4
- Co-authors
- Youn H. Kim (14 shared papers)Richard T. Hoppe (9 shared papers)Yasodha Natkunam (6 shared papers)Tracy I. George (4 shared papers)Johannes Jacobi (2 shared papers)John P. Cooke (2 shared papers)Gary S. Wood (6 shared papers)Madeleine Duvic (3 shared papers)
- Journals
- Journal of Cutaneous Pathology (12 papers)American Journal of Dermatopathology (9 papers)American Journal of Clinical Pathology (7 papers)Modern Pathology (4 papers)Blood (4 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Uma Sundram
62 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 94
- Dermatology 924
- Pathology and Forensic Medicine 648
- Oncology 401
- Epidemiology 416
- Genetics 126
Countries citing papers authored by Uma Sundram
This map shows the geographic impact of Uma Sundram'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 Sundram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uma Sundram more than expected).
Fields of papers citing papers by Uma Sundram
This network shows the impact of papers produced by Uma Sundram. 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 Sundram. The network helps show where Uma Sundram may publish in the future.
Co-authors
The 25 scholars most cited alongside Uma Sundram, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 187 | |
| 2 | 2002 | 144 | |
| 3 | 2014 | 137 | |
| 4 | 2012 | 125 | |
| 5 | 2012 | 110 | |
| 6 | 2003 | 79 | |
| 7 | 2012 | 64 | |
| 8 | 2009 | 60 | |
| 9 | 2007 | 45 | |
| 10 | 2006 | 44 | |
| 11 | 2004 | 43 | |
| 12 | 2002 | 42 | |
| 13 | 2014 | 41 | |
| 14 | 2014 | 37 | |
| 15 | 2015 | 36 | |
| 16 | 2010 | 36 | |
| 17 | 2008 | 33 | |
| 18 | 2005 | 32 | |
| 19 | 2007 | 29 | |
| 20 | 2009 | 28 |
About Uma Sundram
Uma Sundram is a scholar working on Dermatology, Pathology and Forensic Medicine, Oncology, Epidemiology and Hematology, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (30 papers), Lymphoma Diagnosis and Treatment (18 papers), Sarcoma Diagnosis and Treatment (6 papers), CNS Lymphoma Diagnosis and Treatment (6 papers), Acute Myeloid Leukemia Research (6 papers), Fungal Infections and Studies (5 papers), Tumors and Oncological Cases (4 papers) and CAR-T cell therapy research (4 papers). The work is most often cited by research in Dermatology (924 citations), Pathology and Forensic Medicine (648 citations), Oncology (401 citations), Epidemiology (416 citations) and Genetics (126 citations). Uma Sundram has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Youn H. Kim, Richard T. Hoppe, Yasodha Natkunam, Tracy I. George, Johannes Jacobi, John P. Cooke, Gary S. Wood, Madeleine Duvic, Jeff D. Harvell and Luis F. Fajardo. Their work appears in journals such as Journal of Cutaneous Pathology, American Journal of Dermatopathology, American Journal of Clinical Pathology, Modern Pathology and Blood.
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.