Uma Sundram

2.9k total citations
64 papers, 1.8k citations indexed

About

Uma Sundram is a scholar working on Dermatology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Uma Sundram has authored 64 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Dermatology, 31 papers in Pathology and Forensic Medicine and 17 papers in Oncology. Recurrent topics in Uma Sundram's work include Cutaneous lymphoproliferative disorders research (34 papers), Lymphoma Diagnosis and Treatment (25 papers) and Fungal Infections and Studies (8 papers). Uma Sundram is often cited by papers focused on Cutaneous lymphoproliferative disorders research (34 papers), Lymphoma Diagnosis and Treatment (25 papers) and Fungal Infections and Studies (8 papers). Uma Sundram collaborates with scholars based in United States, United Kingdom and Australia. Uma Sundram's co-authors include Youn H. Kim, Richard T. Hoppe, Yasodha Natkunam, Johannes Jacobi, John P. Cooke, Tracy I. George, Gary S. Wood, Madeleine Duvic, Jeff D. Harvell and Hayan Dayoub and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Journal of neurosurgery.

In The Last Decade

Uma Sundram

62 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uma Sundram United States 23 969 770 554 482 287 64 1.8k
Carlo Cota Italy 26 1.1k 1.1× 341 0.4× 537 1.0× 623 1.3× 322 1.1× 115 2.1k
Pedro Redondo Spain 25 523 0.5× 204 0.3× 411 0.7× 603 1.3× 178 0.6× 146 1.9k
Tomomitsu Miyagaki Japan 29 1.1k 1.2× 624 0.8× 428 0.8× 559 1.2× 1.6k 5.4× 131 2.8k
László Krenács Hungary 24 406 0.4× 1.2k 1.6× 177 0.3× 848 1.8× 830 2.9× 80 2.3k
Tetsuya Tsuchida Japan 24 512 0.5× 245 0.3× 398 0.7× 718 1.5× 598 2.1× 83 2.0k
Yasumasa Ishibashi Japan 20 464 0.5× 381 0.5× 328 0.6× 179 0.4× 276 1.0× 99 1.4k
Jere B. Stern United States 20 519 0.5× 286 0.4× 420 0.8× 485 1.0× 85 0.3× 43 1.6k
Loı̈c Vaillant France 18 484 0.5× 893 1.2× 211 0.4× 209 0.4× 122 0.4× 44 1.8k
Francesco Del Galdo United Kingdom 31 514 0.5× 1.2k 1.6× 413 0.7× 334 0.7× 689 2.4× 176 2.8k
Julian Mackay‐Wiggan United States 14 917 0.9× 475 0.6× 377 0.7× 202 0.4× 321 1.1× 26 2.0k

Countries citing papers authored by Uma Sundram

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Uma Sundram

This figure shows the co-authorship network connecting the top 25 collaborators of Uma Sundram. A scholar is included among the top collaborators of Uma Sundram 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 Uma Sundram. Uma Sundram 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.
Yang, Shi, Dominick Leone, Asok Biswas, et al.. (2018). Concordance of somatic mutation profiles (BRAF, NRAS, and TERT) and tumoral PD-L1 in matched primary cutaneous and metastatic melanoma samples. Human Pathology. 82. 206–214. 13 indexed citations
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Sundram, Uma. (2014). A Review of Important Skin Disorders Occurring in the Posttransplantation Patient. Advances in Anatomic Pathology. 21(5). 321–329. 2 indexed citations
5.
Li, Janet Y., Joan Guitart, Melissa Pulitzer, et al.. (2014). Multicenter Case Series of Indolent Small/Medium-Sized CD8+ Lymphoid Proliferations With Predilection for the Ear and Face. American Journal of Dermatopathology. 36(5). 402–408. 22 indexed citations
6.
Zwerner, Jeffrey P., et al.. (2012). A Comparative Analysis of Cutaneous Marginal Zone Lymphoma and Cutaneous Chronic Lymphocytic Leukemia. American Journal of Dermatopathology. 34(1). 18–23. 11 indexed citations
7.
Hollmig, S. Tyler, Kerri E. Rieger, Michael T. Henderson, Robert B. West, & Uma Sundram. (2012). Reconsidering the Diagnostic and Prognostic Utility of LN-2 for Undifferentiated Pleomorphic Sarcoma and Atypical Fibroxanthoma. American Journal of Dermatopathology. 35(2). 176–179. 12 indexed citations
8.
Lessin, Stuart R., Madeleine Duvic, Joan Guitart, et al.. (2012). Topical Chemotherapy in Cutaneous T-cell Lymphoma. JAMA Dermatology. 149(1). 25–25. 123 indexed citations
9.
Fujiwara, Mika, Anjali V. Morales, Katie Seo, et al.. (2012). Clonal Identity and Differences in Primary Cutaneous B-Cell Lymphoma Occurring at Different Sites or Time Points in the Same Patient. American Journal of Dermatopathology. 35(1). 11–18. 15 indexed citations
10.
Fiorentino, David, et al.. (2010). The direct cellular target of topically applied pimecrolimus may not be infiltrating lymphocytes. British Journal of Dermatology. 164(5). 996–1003. 5 indexed citations
11.
Zhang, Bing, Andrew H. Beck, Janis M. Taube, et al.. (2010). Combined Use of PCR-Based TCRG and TCRB Clonality Tests on Paraffin-Embedded Skin Tissue in the Differential Diagnosis of Mycosis Fungoides and Inflammatory Dermatoses. Journal of Molecular Diagnostics. 12(3). 320–327. 36 indexed citations
12.
Kartha, Reena V., et al.. (2009). A Malignant Cutaneous Neuroendocrine Tumor With Features of Merkel Cell Carcinoma and Differentiating Neuroblastoma. American Journal of Dermatopathology. 31(2). 193–196. 9 indexed citations
13.
Sundram, Uma, Yasodha Natkunam, Sabine Köhler, et al.. (2008). Expression of HGAL in primary cutaneous large B-cell lymphomas: evidence for germinal center derivation of primary cutaneous follicular lymphoma. Modern Pathology. 21(6). 653–659. 9 indexed citations
14.
Sundram, Uma, et al.. (2008). CD34+ Pigmented Fibrous Proliferations: The Morphologic Overlap Between Pigmented Dermatofibromas and Bednar Tumors. American Journal of Dermatopathology. 30(5). 484–487. 7 indexed citations
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Sundram, Uma, et al.. (2006). Expression of CD163 in dermatofibroma, cellular fibrous histiocytoma, and dermatofibrosarcoma protuberans: comparison with CD68, CD34, and Factor XIIIa. Journal of Cutaneous Pathology. 33(5). 353–360. 43 indexed citations
17.
Sundram, Uma, et al.. (2006). Frequent Positive Staining With NKI/C3 in Normal and Neoplastic Tissues Limits Its Usefulness in the Diagnosis of Cellular Neurothekeoma. American Journal of Clinical Pathology. 126(4). 554–563. 27 indexed citations
18.
Sundram, Uma, Hyun Soo Kim, Serena Mraz‐Gernhard, et al.. (2005). Expression of the bcl‐6 and MUM1/IRF4 proteins correlate with overall and disease‐specific survival in patients with primary cutaneous large B‐cell lymphoma: a tissue microarray study. Journal of Cutaneous Pathology. 32(3). 227–234. 32 indexed citations
19.
Harvell, Jeff D., et al.. (2003). An immunohistochemical study of CD4, CD8, TIA‐1 and CD56 subsets in inflammatory skin disease. Journal of Cutaneous Pathology. 30(2). 108–113. 15 indexed citations
20.
Jacobi, Johannes, James J. Jang, Uma Sundram, et al.. (2002). Nicotine Accelerates Angiogenesis and Wound Healing in Genetically Diabetic Mice. American Journal Of Pathology. 161(1). 97–104. 143 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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