Ming He

1.7k citations
58 papers · 973 · h-index 20

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Atherosclerosis and Cardiovascular Diseases

Papers in

    • Kruppel-like factors research 6
    • Cancer-related gene regulation 5
    • Epigenetics and DNA Methylation 5
    • RNA modifications and cancer 4
    • Metabolism, Diabetes, and Cancer 4
    • Atherosclerosis and Cardiovascular Diseases 8

Ming He

53 papers receiving 968 citations

Peers

Ming He
Comparison fields: 5 of 94
  • Cancer Research 193
  • Immunology 198
  • Molecular Biology 528
  • Cell Biology 78
  • Cardiology and Cardiovascular Medicine 101
Replace Chen Shao with:
Chen Shao China
Chao Fang China
Dil Afroze India
Xin Yan China
Vincenzo Grimaldi Italy
Alexandre Kauskot France
Yudong Ji China
Adar Zinger Israel
Youqi Han Canada
Bin Lei China
Ming He relative to Chen Shao China Chen Shao's profile →
Citations per field
00.5×1.6×
Chen Shao · 1×
Citations per year

Countries citing papers authored by Ming He

Since Specialization
Citations

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

Fields of papers citing papers by Ming He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016101
2 201787
3 201950
4 201646
5 202142
6 202042
7 202139
8 201637
9 201837
10 201336
11 201630
12 202029
13 201828
14 201928
15 202026
16 202222
17 202121
18 201321
19 202020
20 202219

About Ming He

Ming He is a scholar working on Molecular Biology, Immunology, Surgery, Cancer Research and Pulmonary and Respiratory Medicine, having authored 58 papers that have together received 973 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), Atherosclerosis and Cardiovascular Diseases (8 papers), Kruppel-like factors research (6 papers), Cancer-related gene regulation (5 papers), MicroRNA in disease regulation (5 papers), Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Cancer Research (193 citations), Immunology (198 citations), Molecular Biology (528 citations), Cell Biology (78 citations) and Cardiology and Cardiovascular Medicine (101 citations). Ming He has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Marcy Martin, Zhen Chen, Humaira Gowher, Lama AlAbdi, Zuyi Yuan, Traci Marin, Brendan Gongol, Jian Kang, Panjamaporn Sangwung and Hsien‐Da Huang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Arteriosclerosis Thrombosis and Vascular Biology, Circulation Research, Cell Reports and Circulation.

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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