Jane M. Grant‐Kels

10.5k total citations · 1 hit paper
344 papers, 5.2k citations indexed

About

Jane M. Grant‐Kels is a scholar working on Oncology, Dermatology and Epidemiology. According to data from OpenAlex, Jane M. Grant‐Kels has authored 344 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Oncology, 117 papers in Dermatology and 58 papers in Epidemiology. Recurrent topics in Jane M. Grant‐Kels's work include Cutaneous Melanoma Detection and Management (108 papers), Nonmelanoma Skin Cancer Studies (31 papers) and Medicine and Dermatology Studies History (22 papers). Jane M. Grant‐Kels is often cited by papers focused on Cutaneous Melanoma Detection and Management (108 papers), Nonmelanoma Skin Cancer Studies (31 papers) and Medicine and Dermatology Studies History (22 papers). Jane M. Grant‐Kels collaborates with scholars based in United States, Israel and Poland. Jane M. Grant‐Kels's co-authors include Marti Jill Rothe, Marcia S. Driscoll, Diane Whitaker-Worth, Meagen McCusker, Michael J. Murphy, Caron M. Grin, Wendy S. Susser, Philip Kerr, Margaret Oliviero and Harold Rabinovitz and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Jane M. Grant‐Kels

312 papers receiving 4.9k citations

Hit Papers

Guidelines of care for the management of primary cutaneou... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane M. Grant‐Kels United States 38 2.0k 1.8k 1.2k 703 554 344 5.2k
Dirk M. Elston United States 28 747 0.4× 1.3k 0.7× 1.1k 0.9× 685 1.0× 405 0.7× 312 4.2k
Dennis P. West United States 43 1.4k 0.7× 1.7k 0.9× 613 0.5× 514 0.7× 481 0.9× 195 5.7k
Ulrich R. Hengge Germany 42 1.4k 0.7× 946 0.5× 1.1k 1.0× 1.9k 2.7× 858 1.5× 164 6.0k
Maryam M. Asgari United States 35 1.8k 0.9× 1.4k 0.8× 1.3k 1.1× 555 0.8× 502 0.9× 141 4.0k
M.‐A. Richard France 40 1.2k 0.6× 1.9k 1.1× 1.1k 0.9× 622 0.9× 1.6k 2.9× 204 5.0k
N. Dupin France 45 3.7k 1.9× 1.1k 0.6× 2.5k 2.1× 732 1.0× 543 1.0× 342 8.5k
Nirmala Pandeya Australia 47 2.0k 1.0× 989 0.5× 1.5k 1.3× 961 1.4× 317 0.6× 172 6.9k
Stephen W. Dusza United States 43 4.0k 2.0× 2.1k 1.2× 1.8k 1.6× 660 0.9× 284 0.5× 209 6.0k
Arash Mostaghimi United States 30 858 0.4× 1.3k 0.7× 597 0.5× 253 0.4× 186 0.3× 262 3.7k
Emanual Maverakis United States 39 805 0.4× 1.5k 0.8× 942 0.8× 1.5k 2.1× 2.2k 4.0× 183 6.1k

Countries citing papers authored by Jane M. Grant‐Kels

Since Specialization
Citations

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

Fields of papers citing papers by Jane M. Grant‐Kels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane M. Grant‐Kels. 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 Jane M. Grant‐Kels. The network helps show where Jane M. Grant‐Kels may publish in the future.

Co-authorship network of co-authors of Jane M. Grant‐Kels

This figure shows the co-authorship network connecting the top 25 collaborators of Jane M. Grant‐Kels. A scholar is included among the top collaborators of Jane M. Grant‐Kels 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 Jane M. Grant‐Kels. Jane M. Grant‐Kels 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.
Born, Louis J., et al.. (2025). Melanoma and melanocytic nevi in pregnancy. Clinics in Dermatology. 43(1). 71–77. 2 indexed citations
2.
Grant‐Kels, Jane M., et al.. (2025). Multi‐Modal AI Integrating Dermoscopy, Histopathology, and Genomic Data for Precision Dermatology. International Journal of Dermatology. 65(2). 418–419.
3.
Grant‐Kels, Jane M., et al.. (2025). Childhood and adolescent melanoma: An update. Clinics in Dermatology. 43(1). 16–23.
4.
Zhou, Albert E, et al.. (2024). Screened out: Ethically managing sunscreen misinformation by social media influencers. Clinics in Dermatology. 42(6). 736–738. 1 indexed citations
5.
Zhou, Albert E, et al.. (2024). Ethics of artificial intelligence in dermatology. Clinics in Dermatology. 42(3). 313–316. 8 indexed citations
6.
Adler, Nikki R. & Jane M. Grant‐Kels. (2024). Antisemitism and dermatology in Nazi Germany and beyond. Clinics in Dermatology. 42(5). 508–512.
7.
Hoyt, David, Gregory J. Stoddard, Ashley Snyder, et al.. (2024). Declining invasive and rising in situ melanoma incidence trends in Iceland: A nationwide cohort study. Journal of the European Academy of Dermatology and Venereology. 39(7). 1278–1284.
8.
Turno‐Kręcicka, Anna, et al.. (2023). Biologic therapies for psoriasis and eyes. Clinics in Dermatology. 41(4). 523–527. 2 indexed citations
9.
Grant‐Kels, Jane M., et al.. (2023). The Cancer Genome Atlas for uveal melanoma is predictive of patient outcomes. Clinics in Dermatology. 42(1). 56–61. 1 indexed citations
10.
Hartman, Rebecca I., et al.. (2023). Multicenter prospective blinded melanoma detection study with a handheld elastic scattering spectroscopy device. JAAD International. 15. 24–31. 14 indexed citations
11.
Chu, Brian, et al.. (2023). Evaluation of ChatGPT Dermatology Responses to Common Patient Queries. JMIR Dermatology. 6. e49280–e49280. 19 indexed citations
12.
Grant‐Kels, Jane M., et al.. (2023). The invisible kingdom: Reimagining chronic illness. Journal of the American Academy of Dermatology. 88(6). e309–e309. 4 indexed citations
13.
Ólafsdóttir, Elínborg J., Jane M. Grant‐Kels, Árni Kristjánsson, et al.. (2023). Survival of patients with basal cell carcinoma, squamous cell carcinoma, and squamous cell carcinoma in situ: A whole population study. Journal of the American Academy of Dermatology. 90(1). 91–97. 1 indexed citations
14.
Lin, Gloria, et al.. (2021). The impact of gender in mentor–mentee success: Results from the Women's Dermatologic Society Mentorship Survey. International Journal of Women’s Dermatology. 7(4). 398–402. 19 indexed citations
15.
Grant‐Kels, Jane M.. (2021). JAAD Game Changers∗: Cardiovascular comorbidities in patients with rosacea: A nationwide case-control study from Taiwan. Journal of the American Academy of Dermatology. 85(3). 800–800. 1 indexed citations
16.
Shahriari, Neda, Jane M. Grant‐Kels, Harold Rabinovitz, Margaret Oliviero, & Alon Scope. (2018). Reflectance confocal microscopy features of melanomas on the body and non‐glabrous chronically sun‐damaged skin. Journal of Cutaneous Pathology. 45(10). 754–759. 4 indexed citations
17.
Driscoll, Marcia S., Kathryn J. Martires, Amy Kalowitz Bieber, et al.. (2016). Pregnancy and melanoma. Journal of the American Academy of Dermatology. 75(4). 669–678. 37 indexed citations
18.
Payette, Michael, et al.. (2010). Nutrition and nonmelanoma skin cancers. Clinics in Dermatology. 28(6). 650–662. 27 indexed citations
19.
Friedman, Kent, et al.. (2004). Melanoma screening behavior among primary care physicians.. PubMed. 74(5). 305–11. 12 indexed citations
20.
Fung, Maxwell A., Michael J. Murphy, Diane M. Hoss, & Jane M. Grant‐Kels. (2002). Practical evaluation and management of cutaneous lymphoma. Journal of the American Academy of Dermatology. 46(3). 325–360. 60 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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