Mingwan Su

3.2k citations
37 papers · 2.3k · h-index 21

Impact in

Papers in

Mingwan Su

36 papers receiving 2.3k citations

Peers

Mingwan Su
Comparison fields: 5 of 94
  • Aging 306
  • Developmental Neuroscience 288
  • Dermatology 439
  • Cellular and Molecular Neuroscience 789
  • Cell Biology 688
Replace Donata Orioli with:
Donata Orioli Italy
Violeta Silva-Vargas United States
Eloı́sa Herrera Spain
Wen‐Hui Lien United States
Stéphane C. Boutet United States
Soline Estrach France
Chay T. Kuo United States
Susan Kenwrick United Kingdom
Francisco G. Scholl Spain
Guiomar Solanas Spain
Mingwan Su relative to Donata Orioli Italy Donata Orioli's profile →
Citations per field
00.5×7.8×
Donata Orioli · 1×
Citations per year

Countries citing papers authored by Mingwan Su

Since Specialization
Citations

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

Fields of papers citing papers by Mingwan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996395
2 2014346
3 1992341
4 1993198
5 2006130
6 200087
7 201282
8 201281
9 199165
10
Aberrant expression of T-plastin in Sezary cells.
200356
11 201655
12 201451
13 201149
14 201448
15 201644
16 201132
17 198931
18 200931
19 201828
20 198927

About Mingwan Su

Mingwan Su is a scholar working on Molecular Biology, Immunology, Dermatology, Cell Biology and Pathology and Forensic Medicine, having authored 37 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (8 papers), T-cell and Retrovirus Studies (8 papers), melanin and skin pigmentation (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Cell Adhesion Molecules Research (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Skin Protection and Aging (2 papers). The work is most often cited by research in Aging (306 citations), Developmental Neuroscience (288 citations), Dermatology (439 citations), Cellular and Molecular Neuroscience (789 citations) and Cell Biology (688 citations). Mingwan Su has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Joseph G. Culotti, Youwen Zhou, Edward M. Hedgecock, Youwen Zhou, Marie T. Killeen, Hong Zheng, Ronit Wilk, Andrew M. Spence, Chungyee Leung-Hagesteijn and Michel Hamelin. Their work appears in journals such as Journal of Cutaneous Medicine and Surgery, Blood, Frontiers in Aging Neuroscience, Journal of Investigative Dermatology and PLoS ONE.

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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