Suraj Venna

1.0k total citations
37 papers, 513 citations indexed

About

Suraj Venna is a scholar working on Oncology, Dermatology and Epidemiology. According to data from OpenAlex, Suraj Venna has authored 37 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 11 papers in Dermatology and 9 papers in Epidemiology. Recurrent topics in Suraj Venna's work include Cutaneous Melanoma Detection and Management (14 papers), Immunotherapy and Immune Responses (6 papers) and Nonmelanoma Skin Cancer Studies (6 papers). Suraj Venna is often cited by papers focused on Cutaneous Melanoma Detection and Management (14 papers), Immunotherapy and Immune Responses (6 papers) and Nonmelanoma Skin Cancer Studies (6 papers). Suraj Venna collaborates with scholars based in United States, Australia and Germany. Suraj Venna's co-authors include Barbara A. Gilchrest, Mark S. Eller, Sekwon Jang, Dennis Lee, Gary S. Rogers, Miguel J. Stadecker, Mohammed Kashani–Sabet, Neelu Puri, Ina Hadshiew and Stanley P. L. Leong and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Suraj Venna

29 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suraj Venna United States 13 251 181 150 130 55 37 513
B. Aika Shoo United States 6 210 0.8× 99 0.5× 154 1.0× 54 0.4× 39 0.7× 10 422
Vitaliano Silipo Italy 15 445 1.8× 221 1.2× 272 1.8× 283 2.2× 13 0.2× 30 745
Susanna Rossari Italy 14 274 1.1× 121 0.7× 155 1.0× 103 0.8× 8 0.1× 31 445
Sigrid M. C. Broekaert Germany 8 137 0.5× 133 0.7× 87 0.6× 48 0.4× 20 0.4× 11 338
J Palou Spain 13 133 0.5× 117 0.6× 164 1.1× 132 1.0× 15 0.3× 32 456
Thomas L. Hocker United States 14 460 1.8× 320 1.8× 185 1.2× 147 1.1× 9 0.2× 40 782
Alicia Barreiro Spain 11 230 0.9× 56 0.3× 99 0.7× 107 0.8× 15 0.3× 33 310
Lawrence Yu Australia 10 267 1.1× 96 0.5× 94 0.6× 156 1.2× 8 0.1× 20 440
Konstanze Spieth Germany 14 322 1.3× 206 1.1× 133 0.9× 98 0.8× 8 0.1× 24 587
Renato Marchiori Bakos Brazil 13 273 1.1× 96 0.5× 237 1.6× 221 1.7× 6 0.1× 44 521

Countries citing papers authored by Suraj Venna

Since Specialization
Citations

This map shows the geographic impact of Suraj Venna'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 Suraj Venna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suraj Venna more than expected).

Fields of papers citing papers by Suraj Venna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suraj Venna. 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 Suraj Venna. The network helps show where Suraj Venna may publish in the future.

Co-authorship network of co-authors of Suraj Venna

This figure shows the co-authorship network connecting the top 25 collaborators of Suraj Venna. A scholar is included among the top collaborators of Suraj Venna 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 Suraj Venna. Suraj Venna 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.
Yıldırım, Abdülkadir, et al.. (2025). Drug-induced Sarcoidosis in a Patient Receiving Adjuvant Immunotherapy for Melanoma. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A6139–A6139.
2.
Yu, Wesley Y., Lisbet Rosenkrantz Hölmich, Iva Johansson, et al.. (2025). CP-GEP identifies high-risk T1a melanoma patients beyond established adverse features. Journal of the American Academy of Dermatology. 94(2). 661–663.
3.
Venna, Suraj, et al.. (2024). Merkel cell carcinoma. Journal of the American Academy of Dermatology. 91(3). 598–605. 1 indexed citations
4.
Venna, Suraj, et al.. (2023). Detection of ctDNA in patients with stage III cutaneous melanoma with satellite/in-transit or nodal metastases.. Journal of Clinical Oncology. 41(16_suppl). e21559–e21559.
5.
6.
Kaufman, Bridget, Elizabeth M. Dugan, Arash Radfar, et al.. (2020). Importance of pathology review to complement clinical management of melanoma. Journal of the American Academy of Dermatology. 83(6). 1784–1786. 1 indexed citations
7.
Wang, Hongkun, et al.. (2020). Five-year survival in patients with nodular and superficial spreading melanomas in the US population. Journal of the American Academy of Dermatology. 84(4). 1015–1022. 30 indexed citations
8.
Ruben, Beth S., et al.. (2017). Asymptomatic Longitudinal Pachyxanthonychia of the Fingernail. Skin Appendage Disorders. 3(1). 32–35. 5 indexed citations
9.
Jang, Sekwon, Andrea K. Finlay, Jennifer DeSimone, et al.. (2016). Early discussion of advance directives for patients with newly diagnosed cancer.. Journal of Clinical Oncology. 34(7_suppl). 91–91. 2 indexed citations
10.
Venna, Suraj, et al.. (2015). Poorly differentiated squamous cell carcinoma arising within a lesion of discoid lupus erythematosus in an African-American woman. JAAD Case Reports. 1(3). 138–140. 11 indexed citations
11.
Pichard, Dominique C., et al.. (2013). Vemurafenib-Induced DRESS. JAMA Dermatology. 149(10). 1242–1242. 27 indexed citations
12.
Semir, David de, Mehdi Nosrati, Vladimir Bezrookove, et al.. (2012). Pleckstrin homology domain-interacting protein (PHIP) as a marker and mediator of melanoma metastasis. Proceedings of the National Academy of Sciences. 109(18). 7067–7072. 30 indexed citations
13.
Ghassemi, Pejhman, Paul Lemaillet, Thomas A. Germer, et al.. (2012). Out-of-plane Stokes imaging polarimeter for early skin cancer diagnosis. Journal of Biomedical Optics. 17(7). 760141–760141. 28 indexed citations
14.
Venna, Suraj, Suresh Thummala, Mehdi Nosrati, et al.. (2012). Analysis of sentinel lymph node positivity in patients with thin primary melanoma. Journal of the American Academy of Dermatology. 68(4). 560–567. 42 indexed citations
15.
Stefanato, Catherine M., et al.. (2010). Recurrent erythema multiforme triggered by progesterone sensitivity. Journal of Cutaneous Pathology. 37(11). 1164–1167. 15 indexed citations
16.
Galadari, Hassan, et al.. (2009). Synovitis, acne, pustulosis, hyperostosis, and osteitis syndrome treated with a combination of isotretinoin and pamidronate. Journal of the American Academy of Dermatology. 61(1). 123–125. 19 indexed citations
17.
Kashani–Sabet, Mohammed, Suraj Venna, Mehdi Nosrati, et al.. (2009). A Multimarker Prognostic Assay for Primary Cutaneous Melanoma. Clinical Cancer Research. 15(22). 6987–6992. 56 indexed citations
18.
Feramisco, Jamison D., John Fournier, Daniel C. Zedek, & Suraj Venna. (2009). Eruptive angiokeratomas on the glans penis. Dermatology Online Journal. 15(10). 14–14. 8 indexed citations
19.
Venna, Suraj, Dennis Lee, Miguel J. Stadecker, & Gary S. Rogers. (2005). Clinical Recognition of Actinic Keratoses in a High-Risk Population. Archives of Dermatology. 141(4). 507–9. 54 indexed citations
20.
Eller, Mark S., Neelu Puri, Ina Hadshiew, Suraj Venna, & Barbara A. Gilchrest. (2002). Induction of Apoptosis by Telomere 3′ Overhang-Specific DNA. Experimental Cell Research. 276(2). 185–193. 64 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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