Lee Wheless

58 papers receiving 915 citations

Lee Wheless's Hit Papers

Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging 2025 · 20 citations
200Years since publication5101520

Peers

Lee Wheless
Comparison fields: 5 of 98
  • Rheumatology 160
  • Dermatology 95
  • Oncology 206
  • Health Informatics 10
  • Epidemiology 177
Replace Yangbai Sun with:
Yangbai Sun China
Asif Loya Pakistan
Caroline Gaudy‐Marqueste France
Harrison X. Bai United States
Paulo Rogério de Faria Brazil
Ronald Chan Hong Kong
Aaron R. Mangold United States
Ümit İnce Türkiye
Roberto Alfano Italy
Lee Wheless relative to Yangbai Sun China Yangbai Sun's profile →
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Citations per year

Countries citing papers authored by Lee Wheless

Since Specialization
Citations

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

Fields of papers citing papers by Lee Wheless

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lee Wheless, 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 Lee Wheless Line = papers co-authored together Lee Wheless links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020124
2 201094
3 201660
4 201447
5 201935
6 201426
7 201026
8 201825
9 201825
10 201024
11 201222
12 201221
13 201120
14
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging
Hit paper breakdown →
202520
15 202120
16 201119
17 202119
18 201719
19 202318
20 202117

About Lee Wheless

Lee Wheless is a scholar working on Epidemiology, Oncology, Rheumatology, Dermatology and Molecular Biology, having authored 64 papers that have together received 933 indexed citations. Recurring topics across this work include Nonmelanoma Skin Cancer Studies (15 papers), Systemic Lupus Erythematosus Research (12 papers), Cutaneous Melanoma Detection and Management (10 papers), AI in cancer detection (5 papers), Cutaneous lymphoproliferative disorders research (4 papers), DNA Repair Mechanisms (3 papers), Immunotherapy and Immune Responses (3 papers) and Skin Protection and Aging (3 papers). The work is most often cited by research in Rheumatology (160 citations), Dermatology (95 citations), Oncology (206 citations), Health Informatics (10 citations) and Epidemiology (177 citations). Lee Wheless has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include April Barnado, Anthony J. Alberg, Leslie J. Crofford, Robert J. Carroll, Joshua C. Denny, Carolyn Casey, Peter H. Tang, Joel Cook, Brian C. Leach and Rhoda M. Alani. Their work appears in journals such as JAMA Dermatology, Journal of the American Academy of Dermatology, Lupus, Seminars in Arthritis and Rheumatism and Arthritis Care & Research.

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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