William M. Lin

4.6k citations
28 papers · 1.2k · h-index 13

Impact in

Papers in

    • Cutaneous Melanoma Detection and Management 7
    • CAR-T cell therapy research 6
    • Vascular Tumors and Angiosarcomas 2
    • Melanoma and MAPK Pathways 7
    • Protein Degradation and Inhibitors 2

William M. Lin

25 papers receiving 1.2k citations

Peers

William M. Lin
Comparison fields: 5 of 92
  • Parasitology 123
  • Transplantation 51
  • Oncology 382
  • Cancer Research 200
  • Dermatology 100
Replace Catherine P. Leith with:
Catherine P. Leith United States
Woong‐Kyung Suh Canada
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Ludovica Riera Italy
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Citations per field
00.5×8.5×
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Citations per year

Countries citing papers authored by William M. Lin

Since Specialization
Citations

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

Fields of papers citing papers by William M. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William M. Lin. 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 William M. Lin. The network helps show where William M. Lin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009365
2 2008215
3 2016124
4 201081
5 201478
6 201463
7 201160
8 200951
9 201629
10 200927
11 201125
12 201917
13 201813
14 20209
15 20187
16 20237
17 20125
18 20235
19 20213
20 20153

About William M. Lin

William M. Lin is a scholar working on Oncology, Molecular Biology, Dermatology, Epidemiology and Immunology, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (7 papers), Melanoma and MAPK Pathways (7 papers), CAR-T cell therapy research (6 papers), Cutaneous lymphoproliferative disorders research (6 papers), Immunotherapy and Immune Responses (3 papers), Cell Image Analysis Techniques (2 papers), Protein Degradation and Inhibitors (2 papers) and Vascular Tumors and Angiosarcomas (2 papers). The work is most often cited by research in Parasitology (123 citations), Transplantation (51 citations), Oncology (382 citations), Cancer Research (200 citations) and Dermatology (100 citations). William M. Lin has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Dariush Etemadmoghadam, Christina Gewinner, Lewis C. Cantley, David D.L. Bowtell, Zhigang C. Wang, Lucia E. Rameh, Jordi Barretina, Andrea L. Richardson, Pier Paolo Pandolfi and Leonardo Salmena. Their work appears in journals such as Journal of the American Academy of Dermatology, Blood, Journal of Investigative Dermatology, The Lancet Infectious Diseases and PLoS neglected tropical diseases.

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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