Ming Su

1.1k citations
25 papers · 928 · h-index 13

Impact in

Papers in

    • RNA Research and Splicing 3
    • Bone Metabolism and Diseases 3
    • Epigenetics and DNA Methylation 2
    • Connective tissue disorders research 4

Ming Su

24 papers receiving 900 citations

Peers

Ming Su
Comparison fields: 5 of 97
  • Immunology and Allergy 127
  • Cancer Research 149
  • Orthopedics and Sports Medicine 60
  • Pathology and Forensic Medicine 107
  • Cell Biology 91
Replace Tomoko Hayashida with:
Tomoko Hayashida United States
J B Weiss United Kingdom
Anne-Christine Poncelet United States
Michael B. Sporn United States
K Koli Finland
Irene Krukovets United States
Hiroshi Doi Japan
Sarah Howat United Kingdom
Ping‐Ping Kuang United States
Cornelia Hasel Germany
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Citations per field
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Citations per year

Countries citing papers authored by Ming Su

Since Specialization
Citations

This map shows the geographic impact of Ming 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 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 Su more than expected).

Fields of papers citing papers by Ming Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998178
2 1990170
3 1990119
4 201582
5 199173
6 200369
7 200347
8 200439
9 200231
10 200626
11 200017
12 199715
13 202312
14 200710
15 20209
16
Phenotypic derangements associated with overexpression of plasminogen activator inhibitor-1 (PAI-1) in transgenic mice
20018
17 20236
18 20095
19 19904
20 20122

About Ming Su

Ming Su is a scholar working on Molecular Biology, Genetics, Oncology, Pathology and Forensic Medicine and Immunology and Allergy, having authored 25 papers that have together received 928 indexed citations. Recurring topics across this work include Connective tissue disorders research (4 papers), Cell Adhesion Molecules Research (4 papers), Bone health and osteoporosis research (3 papers), Protease and Inhibitor Mechanisms (3 papers), RNA Research and Splicing (3 papers), Bone Metabolism and Diseases (3 papers), Renin-Angiotensin System Studies (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Immunology and Allergy (127 citations), Cancer Research (149 citations), Orthopedics and Sports Medicine (60 citations), Pathology and Forensic Medicine (107 citations) and Cell Biology (91 citations). Ming Su has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Francesco Ramirez, Douglas E. Vaughan, Joseph W. Covington, Jouni Uitto, Veli‐Matti Kähäri, Yan Chen, Sharon Boast, Enrico V. Avvedimento, Massimo Sanchez and James J. Bieker. Their work appears in journals such as Circulation Research, Bone, Gene, Journal of Biological Chemistry and Journal of Molecular and Cellular Cardiology.

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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