Mingwan Su

3.2k citations
39 papers · 2.4k · h-index 21

Impact in

Papers in

    • Cutaneous lymphoproliferative disorders research 7
    • T-cell and Retrovirus Studies 8

Mingwan Su

36 papers receiving 2.4k citations

Peers

Mingwan Su
Comparison fields: 5 of 94
  • Aging 304
  • Developmental Neuroscience 300
  • Dermatology 428
  • Cellular and Molecular Neuroscience 805
  • Cell Biology 716
Replace Donata Orioli with:
Donata Orioli Italy
Peggy Janich Germany
Wen‐Hui Lien United States
Eloı́sa Herrera Spain
Katja Hebestreit United States
Chay T. Kuo United States
Soline Estrach France
Guiomar Solanas Spain
Stéphane C. Boutet United States
Qimin Gu United States
Mingwan Su relative to Donata Orioli Italy Donata Orioli's profile →
Citations per field
00.5×7.6×
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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996412
2 2014366
3 1992351
4 1993206
5 2006130
6 201293
7 200088
8 201282
9 199167
10 201659
11
Aberrant expression of T-plastin in Sezary cells.
200356
12 201452
13 201151
14 201649
15 201448
16 198933
17 201132
18 200931
19 201831
20 198929

About Mingwan Su

Mingwan Su is a scholar working on Dermatology, Immunology, Molecular Biology, Cell Biology and Pathology and Forensic Medicine, having authored 39 papers that have together received 2.4k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (8 papers), Cutaneous lymphoproliferative disorders research (7 papers), melanin and skin pigmentation (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Sympathectomy and Hyperhidrosis Treatments (3 papers), Axon Guidance and Neuronal Signaling (2 papers) and Olfactory and Sensory Function Studies (2 papers). The work is most often cited by research in Aging (304 citations), Developmental Neuroscience (300 citations), Dermatology (428 citations), Cellular and Molecular Neuroscience (805 citations) and Cell Biology (716 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, Chungyee Leung-Hagesteijn, Andrew M. Spence and Ian M. Scott. Their work appears in journals such as Blood, Journal of Cutaneous Medicine and Surgery, PLoS ONE, Frontiers in Aging Neuroscience and Journal of Investigative 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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