Mingyan He

541 citations
16 papers · 362 · h-index 11

Impact in

    • Cancer, Lipids, and Metabolism
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • Cancer, Lipids, and Metabolism 5
    • Cancer-related molecular mechanisms research 2
    • Cancer Genomics and Diagnostics 2
    • NF-κB Signaling Pathways 2

Mingyan He

16 papers receiving 356 citations

Peers

Mingyan He
Comparison fields: 5 of 72
  • Cancer Research 146
  • Biochemistry 17
  • Molecular Biology 185
  • Oncology 69
  • Immunology 52
Replace Jiapeng Xu with:
Jiapeng Xu China
Suxia Luo China
Hua Gao China
Yanyi Xiao China
Yanping Li China
Aimin Zang China
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Citations per field
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Jiapeng Xu · 1×
Citations per year

Countries citing papers authored by Mingyan He

Since Specialization
Citations

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

Fields of papers citing papers by Mingyan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201759
2 201843
3 201536
4 201631
5 201829
6 201628
7 201728
8 202127
9 202021
10 201915
11 202210
12 201510
13 20229
14 20109
15
[Effect of low dose heavy ion irradiation on subset percentage and cytokines expression of peripheral blood lymphocytes in patients with pancreatic cancer].
20144
16 20243

About Mingyan He

Mingyan He is a scholar working on Cancer Research, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Immunology, having authored 16 papers that have together received 362 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (5 papers), Cancer-related molecular mechanisms research (2 papers), Effects of Radiation Exposure (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Cancer Genomics and Diagnostics (2 papers), Cholesterol and Lipid Metabolism (2 papers), Cancer Mechanisms and Therapy (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Cancer Research (146 citations), Biochemistry (17 citations), Molecular Biology (185 citations), Oncology (69 citations) and Immunology (52 citations). Mingyan He has collaborated with scholars based in China, United States and Puerto Rico. Frequent co-authors include Jinglin Xia, Tingting Fang, Biwei Yang, Xiangdong Wang, Yinying Dong, Peixin Huang, Wenqing Tang, Lingyan Wang, Jiayun Hou and Minghuan Zheng. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, Journal of Ethnopharmacology, Cancer and Metastasis Reviews, Dose-Response and Cancer Letters.

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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