Ming-Hong He

641 citations
28 papers · 475 · h-index 15

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • DNA Repair Mechanisms 6
    • Immune Cell Function and Interaction 7
    • T-cell and B-cell Immunology 6
    • Immunotherapy and Immune Responses 4

Ming-Hong He

27 papers receiving 472 citations

Peers

Ming-Hong He
Comparison fields: 5 of 71
  • Aging 12
  • Immunology 80
  • Biomedical Engineering 161
  • Renewable Energy, Sustainability and the Environment 42
  • Molecular Medicine 12
Replace João P. Serra with:
João P. Serra Portugal
Viviana A. Rivarola Argentina
Huiling Su China
Shaojun Peng China
Renu Sankar India
V.K. Ameena Shirin India
Caihong Zheng China
Xueyang Fang China
Yijun Mei China
Ming-Hong He relative to João P. Serra Portugal João P. Serra's profile →
Citations per field
00.5×11×
João P. Serra · 1×
Citations per year

Countries citing papers authored by Ming-Hong He

Since Specialization
Citations

This map shows the geographic impact of Ming-Hong 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-Hong 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-Hong He more than expected).

Fields of papers citing papers by Ming-Hong He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201546
2 201143
3 202039
4 201736
5 201030
6 202128
7 202426
8 202422
9 202120
10 201920
11 201418
12 201517
13 201815
14 202515
15 201814
16 201812
17 202411
18 202110
19 20209
20 20169

About Ming-Hong He

Ming-Hong He is a scholar working on Molecular Biology, Immunology, Biomedical Engineering, Physiology and Organic Chemistry, having authored 28 papers that have together received 475 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), DNA Repair Mechanisms (6 papers), T-cell and B-cell Immunology (6 papers), Telomeres, Telomerase, and Senescence (6 papers), Catalysis and Hydrodesulfurization Studies (4 papers), Immunotherapy and Immune Responses (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Nanoparticle-Based Drug Delivery (3 papers). The work is most often cited by research in Aging (12 citations), Immunology (80 citations), Biomedical Engineering (161 citations), Renewable Energy, Sustainability and the Environment (42 citations) and Molecular Medicine (12 citations). Ming-Hong He has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jin‐Qiu Zhou, Longlong Ma, Qi Zhang, Yaqing Liu, Tiejun Wang, Youyi Sun, Ye Tian, Jing Peng, Jin Tan and Qing Zhang. Their work appears in journals such as Nucleic Acids Research, eLife, The Journal of Experimental Medicine, Cell Reports and Human Vaccines & Immunotherapeutics.

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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