Ming‐Li Chou

1.5k citations
27 papers · 1.0k · h-index 18

Impact in

  • Urology top 2%
    • Periodontal Regeneration and Treatments
  • Hematology top 5%
    • Platelet Disorders and Treatments

Papers in

Ming‐Li Chou

26 papers receiving 1.0k citations

Peers

Ming‐Li Chou
Comparison fields: 5 of 109
  • Urology 207
  • Hematology 224
  • Biochemistry 114
  • Genetics 101
  • Rehabilitation 58
Replace Yu‐Wen Wu with:
Yu‐Wen Wu Taiwan
Carol Laschinger Canada
Giuseppe Aprili Italy
Marco Viganò Italy
Oleg V. Gorkun United States
Sa Ik Bang South Korea
Elenice Deffune Brazil
Chul‐Won Ha South Korea
J McDonagh United States
David A. Meh United States
Ming‐Li Chou relative to Yu‐Wen Wu Taiwan Yu‐Wen Wu's profile →
Citations per field
00.5×5.4×
Yu‐Wen Wu · 1×
Citations per year

Countries citing papers authored by Ming‐Li Chou

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Li Chou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014165
2 2012105
3 2020102
4 201595
5 201561
6 202360
7 201751
8 202337
9 202136
10 201132
11 202032
12 201930
13 201530
14 201526
15 202026
16 201919
17 202418
18 201718
19 201216
20 202214

About Ming‐Li Chou

Ming‐Li Chou is a scholar working on Molecular Biology, Urology, Genetics, Hematology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (10 papers), Periodontal Regeneration and Treatments (8 papers), Mesenchymal stem cell research (6 papers), Platelet Disorders and Treatments (5 papers), Blood transfusion and management (4 papers), Blood properties and coagulation (3 papers), Nerve injury and regeneration (2 papers) and Inflammatory Biomarkers in Disease Prognosis (2 papers). The work is most often cited by research in Urology (207 citations), Hematology (224 citations), Biochemistry (114 citations), Genetics (101 citations) and Rehabilitation (58 citations). Ming‐Li Chou has collaborated with scholars based in Taiwan, France and Canada. Frequent co-authors include Thierry Burnouf, Hadi Goubran, David Devos, Yu‐Wen Wu, Mirjana Radosevic, Jerard Seghatchian, Fabrice Cognasse, Olivier Garraud, Chen‐Yao Su and James Noll. Their work appears in journals such as Biomaterials, Journal of Biomedical Science, Vox Sanguinis, Transfusion and Platelets.

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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