Ming‐Wei Su

1.3k citations
36 papers · 691 · h-index 16

Impact in

Papers in

    • Asthma and respiratory diseases 7
    • Alzheimer's disease research and treatments 5
    • RNA and protein synthesis mechanisms 3
    • Glutathione Transferases and Polymorphisms 2

Ming‐Wei Su

35 papers receiving 681 citations

Peers

Ming‐Wei Su
Comparison fields: 5 of 113
  • Physiology 176
  • Health, Toxicology and Mutagenesis 87
  • Cancer Research 77
  • Environmental Chemistry 51
  • Neurology 31
Replace Aruni Jha with:
Aruni Jha Canada
Yuhong Chen China
Tamara Sáez Chile
Jia Yang China
Marta Ledesma Spain
Monika Zbucka-Krętowska Poland
Ingeborg Løstegaard Goverud Norway
Sum‐Yee Leung Taiwan
Jacek Szamatowicz Poland
Na Peng China
Ming‐Wei Su relative to Aruni Jha Canada Aruni Jha's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ming‐Wei Su

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Wei Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202287
2 201654
3 201248
4 201344
5 201836
6 202035
7 201928
8 202327
9 201326
10 200925
11 201824
12 201322
13 202120
14 202018
15 201618
16 202017
17 201515
18 201515
19 201315
20 202113

About Ming‐Wei Su

Ming‐Wei Su is a scholar working on Physiology, Molecular Biology, Health, Toxicology and Mutagenesis, Psychiatry and Mental health and Cancer Research, having authored 36 papers that have together received 691 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (7 papers), Alzheimer's disease research and treatments (5 papers), Dementia and Cognitive Impairment Research (4 papers), Air Quality and Health Impacts (3 papers), RNA and protein synthesis mechanisms (3 papers), MicroRNA in disease regulation (3 papers), Glutathione Transferases and Polymorphisms (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Physiology (176 citations), Health, Toxicology and Mutagenesis (87 citations), Cancer Research (77 citations), Environmental Chemistry (51 citations) and Neurology (31 citations). Ming‐Wei Su has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Yungling Leo Lee, Ching‐Hui Tsai, Kuan‐Yen Tung, Yao‐Hsu Yang, Bor‐Luen Chiang, Hou‐Wei Chu, Pi‐Hui Liang, Jiunn‐Tay Lee, Guan‐Yu Lin and Chia‐Lin Tsai. Their work appears in journals such as PLoS ONE, Journal of Clinical Medicine, Allergy, Atmospheric Environment and Journal of Microbiology Immunology and Infection.

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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