Jin Ming Dai

5.9k citations
176 papers · 4.7k · h-index 38

Impact in

    • Venous Thromboembolism Diagnosis and Management
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Jin Ming Dai

168 papers receiving 4.5k citations

Peers

Jin Ming Dai
Comparison fields: 5 of 157
  • Internal Medicine 202
  • Cancer Research 660
  • Rheumatology 653
  • Geriatrics and Gerontology 102
  • Endocrinology, Diabetes and Metabolism 455
Replace Giuseppina Caligiuri with:
Giuseppina Caligiuri France
Christoph Kaun Austria
Janette Kay Burgess Australia
Hideki Fujii Japan
Massimo Milani Italy
Mahesh V. Jayaraman United States
Xiaoyan Zhao China
Matthew Thomas Rondina United States
Tao Qiu China
Hong Chen China
Jin Ming Dai relative to Giuseppina Caligiuri France Giuseppina Caligiuri's profile →
Citations per field
00.5×2×4×5.7×
Giuseppina Caligiuri · 1×
Citations per year

Countries citing papers authored by Jin Ming Dai

Since Specialization
Citations

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

Fields of papers citing papers by Jin Ming Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003310
2 2002276
3 1994151
4 2019151
5 2010128
6 2001127
7 2006126
8 2013100
9 200394
10 201093
11 201793
12 199288
13 200887
14 201075
15 199474
16 201474
17 201371
18 201571
19 201163
20 199462

About Jin Ming Dai

Jin Ming Dai is a scholar working on Internal Medicine, Rheumatology, Surgery, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 176 papers that have together received 4.7k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (21 papers), Venous Thromboembolism Diagnosis and Management (17 papers), Hip disorders and treatments (11 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), Occupational and environmental lung diseases (7 papers), Total Knee Arthroplasty Outcomes (7 papers), Occupational exposure and asthma (6 papers) and Atrial Fibrillation Management and Outcomes (6 papers). The work is most often cited by research in Internal Medicine (202 citations), Cancer Research (660 citations), Rheumatology (653 citations), Geriatrics and Gerontology (102 citations) and Endocrinology, Diabetes and Metabolism (455 citations). Jin Ming Dai has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Andrew Churg, Robert C. Baxter, Qing Yan Jiang, Dongquan Shi, Changshi Xie, Hsin Tai, H. Thomas Hahn, Shiro Ikegawa, Dongyang Chen and Zhihong Xu. Their work appears in journals such as BioMed Research International, PLoS ONE, Journal of Orthopaedic Surgery and Research, Endocrinology and Blood Coagulation & Fibrinolysis.

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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