Shaofeng Yan

3.6k citations
94 papers · 2.6k indexed · 1 hit paper · h-index 26

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Cutaneous Melanoma Detection and Management
    • CAR-T cell therapy research
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • Cancer and Skin Lesions 8
    • Cutaneous Melanoma Detection and Management 17

Shaofeng Yan

88 papers receiving 2.5k citations

Hit Papers

Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities 2020 · 254 citations
254202020262022202450100150200250

Peers

Shaofeng Yan
Comparison fields: 5 of 131
  • Oncology 915
  • Immunology 602
  • Cancer Research 361
  • Epidemiology 784
  • Parasitology 110
Replace Clelia Miracco with:
Clelia Miracco Italy
Fatma Z. Guerfali Tunisia
Ryuichi Okamoto Japan
Sarah Doyle Ireland
Xiaoyan Jiang Canada
Robert C. Rees United Kingdom
Balázs Dezsö Hungary
Constantin E. Orfanos Germany
Mark Coles United Kingdom
Eric D. Chow United States
Shaofeng Yan relative to Clelia Miracco Italy Clelia Miracco's profile →
Citations per field
00.5×2.7×
Clelia Miracco · 1×
Citations per year

Countries citing papers authored by Shaofeng Yan

Since Specialization
Citations

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

Fields of papers citing papers by Shaofeng Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Shaofeng Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shaofeng Yan Line = papers co-authored together Shaofeng Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20243
3 20241
4 20233
5 202213
6 202218
7 202114
8 202191
9 20209
10 20196
11 20194
12 201890
13 20179
14 20178
15 20175
16 201641
17 201513
18 2014393
19 20069
20 2003213

About Shaofeng Yan

Shaofeng Yan is a scholar working on Dermatology, Oncology, Cancer Research, Epidemiology and Immunology, having authored 94 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (17 papers), Trypanosoma species research and implications (9 papers), Research on Leishmaniasis Studies (8 papers), Cancer and Skin Lesions (8 papers), Immunotherapy and Immune Responses (7 papers), Nonmelanoma Skin Cancer Studies (7 papers), Melanoma and MAPK Pathways (6 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Oncology (915 citations), Immunology (602 citations), Cancer Research (361 citations), Epidemiology (784 citations) and Parasitology (110 citations). Shaofeng Yan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Peter J. Myler, Kenneth Stuart, Thomas Knackstedt, Manu Goyal, Saeed Hassanpour, Marc S. Ernstoff, Santiago Martı́nez-Calvillo, Mark Fox, Randolph J. Noelle and Hao Xue. Their work appears in journals such as Journal of Cutaneous Pathology, American Journal of Dermatopathology, Molecular and Biochemical Parasitology, The American Journal of Surgical Pathology and Experimental and Molecular Pathology.

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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2026