Wei He

5.0k citations
197 papers · 3.9k · h-index 35

Impact in

  • Immunology top 1%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Aquaculture disease management and microbiota
    • Immune Response and Inflammation
    • MicroRNA in disease regulation

Papers in

    • Immune Cell Function and Interaction 43
    • T-cell and B-cell Immunology 31
    • Immunotherapy and Immune Responses 21
    • Immune Response and Inflammation 13
    • Reproductive System and Pregnancy 7
    • Aquaculture disease management and microbiota 7

Wei He

183 papers receiving 3.9k citations

Peers

Wei He
Comparison fields: 5 of 137
  • Immunology 1.8k
  • Cancer Research 315
  • Oncology 554
  • Clinical Biochemistry 130
  • Molecular Biology 1.2k
Replace Maya Saleh with:
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Chunyan Liu China
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Johannes G. Bode Germany
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Y C Pan United States
Wei He relative to Maya Saleh Canada Maya Saleh's profile →
Citations per field
00.5×1.7×
Maya Saleh · 1×
Citations per year

Countries citing papers authored by Wei He

Since Specialization
Citations

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

Fields of papers citing papers by Wei He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 197 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007224
2 2006150
3 2009145
4 2014137
5 2012119
6 2009102
7 201495
8 201186
9 201276
10 200576
11 201576
12 201171
13 200768
14
Cell-specific expression of tubby gene family members (tub, Tulp1,2, and 3) in the retina.
199967
15 201566
16 201061
17 200960
18 201254
19 201353
20 201853

About Wei He

Wei He is a scholar working on Immunology, Molecular Biology, Genetics, Oncology and Cancer Research, having authored 197 papers that have together received 3.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (43 papers), T-cell and B-cell Immunology (31 papers), Immunotherapy and Immune Responses (21 papers), Immune Response and Inflammation (13 papers), Cleft Lip and Palate Research (9 papers), CAR-T cell therapy research (8 papers), Reproductive System and Pregnancy (7 papers) and Aquaculture disease management and microbiota (7 papers). The work is most often cited by research in Immunology (1.8k citations), Cancer Research (315 citations), Oncology (554 citations), Clinical Biochemistry (130 citations) and Molecular Biology (1.2k citations). Wei He has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Lianxian Cui, Dieter Kabelitz, Daniela Wesch, Anying Zhang, Hong Zhou, Wei Cao, Jianmin Zhang, Denian Ba, Xueyan Xi and Chi Ma. Their work appears in journals such as Cellular and Molecular Immunology, Journal of Biological Chemistry, Scientific Reports, Fish & Shellfish Immunology and PLoS ONE.

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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