Min He

1.6k citations
78 papers · 1.1k · h-index 22

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Hepatology top 10%
    • Liver physiology and pathology

Papers in

    • Circular RNAs in diseases 5
    • RNA Research and Splicing 3
    • Cancer-related molecular mechanisms research 9
    • MicroRNA in disease regulation 6
    • Protease and Inhibitor Mechanisms 4

Min He

72 papers receiving 1.1k citations

Peers

Min He
Comparison fields: 5 of 102
  • Cancer Research 282
  • Hepatology 93
  • Pharmacology 86
  • Molecular Biology 525
  • Health, Toxicology and Mutagenesis 96
Replace Keita Kanki with:
Keita Kanki Japan
Aya Naiki‐Ito Japan
Aline de Conti United States
Min Su China
Ke Fu China
Wataru Toriumi Japan
Xiaoling Zhang China
Verónica Souza Mexico
Karen Brauers Netherlands
Tsung‐Yun Liu Taiwan
Min He relative to Keita Kanki Japan Keita Kanki's profile →
Citations per field
00.5×8.5×
Keita Kanki · 1×
Citations per year

Countries citing papers authored by Min He

Since Specialization
Citations

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

Fields of papers citing papers by Min He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202068
2 201257
3 201656
4 202055
5 201249
6 202044
7 202042
8 201540
9 202140
10 201739
11 201934
12 202131
13 200528
14 201026
15 201426
16 202125
17 202323
18 201223
19 201823
20 201822

About Min He

Min He is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Hepatology and Surgery, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), Liver physiology and pathology (6 papers), Liver Disease Diagnosis and Treatment (6 papers), MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers), Protease and Inhibitor Mechanisms (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cancer Research (282 citations), Hepatology (93 citations), Pharmacology (86 citations), Molecular Biology (525 citations) and Health, Toxicology and Mutagenesis (96 citations). Min He has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xing Lin, Renbin Huang, Lang Zhuo, Ming Liao, Shijun Zhang, Quanfang Huang, Fangzhou Song, Yan Xie, Xuejing Huang and Quanfang Huang. Their work appears in journals such as Food and Chemical Toxicology, Biomarkers in Medicine, Heliyon, Archives of Pathology & Laboratory Medicine and Frontiers in Cellular and Infection Microbiology.

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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