Michael S. Chang

772 citations
42 papers · 415 · h-index 12

Impact in

Papers in

    • Cancer Immunotherapy and Biomarkers 6
    • Cutaneous Melanoma Detection and Management 5
    • COVID-19 and healthcare impacts 3
    • Skin Protection and Aging 3
    • Cancer and Skin Lesions 3

Michael S. Chang

38 papers receiving 412 citations

Peers

Michael S. Chang
Comparison fields: 5 of 53
  • Dermatology 48
  • Pathology and Forensic Medicine 83
  • Oncology 120
  • Epidemiology 66
  • Surgery 82
Replace Hye Rim Park with:
Hye Rim Park South Korea
Julie De Quatrebarbes France
Kenneth Friedman United States
Samreen Naz Pakistan
Wei‐Ting Hsueh Taiwan
A. Fittipaldo United Kingdom
Carolina Amália Barcellos Silva Brazil
Joel Smith United Kingdom
Meltem Kurt Yüksel Türkiye
Rodica Maricela Anghel Romania
Michael S. Chang relative to Hye Rim Park South Korea Hye Rim Park's profile →
Citations per field
00.5×5.9×
Hye Rim Park · 1×
Citations per year

Countries citing papers authored by Michael S. Chang

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Chang. 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 Michael S. Chang. The network helps show where Michael S. Chang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202247
2 201341
3 201138
4 202136
5 201335
6 201525
7 202317
8 202014
9 202113
10 202113
11 202212
12 201311
13 202111
14 201910
15 20219
16 20217
17 20227
18 20207
19 20207
20 20226

About Michael S. Chang

Michael S. Chang is a scholar working on Oncology, Dermatology, Epidemiology, Pathology and Forensic Medicine and Surgery, having authored 42 papers that have together received 415 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (7 papers), Nonmelanoma Skin Cancer Studies (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Cutaneous Melanoma Detection and Management (5 papers), Scoliosis diagnosis and treatment (4 papers), Skin Protection and Aging (3 papers), COVID-19 and healthcare impacts (3 papers) and Cancer and Skin Lesions (3 papers). The work is most often cited by research in Dermatology (48 citations), Pathology and Forensic Medicine (83 citations), Oncology (120 citations), Epidemiology (66 citations) and Surgery (82 citations). Michael S. Chang has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Dennis G. Crandall, Marjan Azin, Shadmehr Demehri, Ryan McLemore, Eric G. Huish, Rebecca I. Hartman, Nira A. Krasnow, Steven T. Chen, Leah L. Thompson and Jaewon Yoon. Their work appears in journals such as Journal of the American Academy of Dermatology, Spine, The Spine Journal, JAMA Dermatology and British Journal of Dermatology.

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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