Wenjun Yang

651 citations
29 papers · 403 · h-index 13

Impact in

Papers in

    • Inflammasome and immune disorders 3
    • Epigenetics and DNA Methylation 2
    • Muscle Physiology and Disorders 2
    • Body Contouring and Surgery 3

Wenjun Yang

25 papers receiving 397 citations

Peers

Wenjun Yang
Comparison fields: 5 of 73
  • Rehabilitation 44
  • Genetics 52
  • Cancer Research 50
  • Molecular Biology 202
  • Endocrinology, Diabetes and Metabolism 31
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Akhilesh Kumar United States
Gwénaëlle Begue United States
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Thibaut Desgeorges Switzerland
Yi-Wei Lin United States
Sahana Suresh Babu United States
Aurore L’honoré France
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Citations per field
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Citations per year

Countries citing papers authored by Wenjun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Wenjun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202076
2 201552
3 202032
4
Adiponectin inhibits NLRP3 inflammasome by modulating the AMPK-ROS pathway.
201829
5 202027
6 201521
7 201717
8 201216
9 201515
10 201514
11
De novo SOX10 Nonsense Mutation in a Patient with Kallmann Syndrome, Deafness, Iris Hypopigmentation, and Hyperthyroidism.
201814
12 201913
13 202113
14 201712
15 201910
16 20219
17 20208
18 20235
19 20215
20 20185

About Wenjun Yang

Wenjun Yang is a scholar working on Molecular Biology, Surgery, Genetics, Epidemiology and Genetics, having authored 29 papers that have together received 403 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (4 papers), Inflammasome and immune disorders (3 papers), Body Contouring and Surgery (3 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Epigenetics and DNA Methylation (2 papers), Muscle Physiology and Disorders (2 papers), Cellular Mechanics and Interactions (2 papers) and Genetic Syndromes and Imprinting (2 papers). The work is most often cited by research in Rehabilitation (44 citations), Genetics (52 citations), Cancer Research (50 citations), Molecular Biology (202 citations) and Endocrinology, Diabetes and Metabolism (31 citations). Wenjun Yang has collaborated with scholars based in China, India and Hong Kong. Frequent co-authors include Zhaohui Mo, Liling Zhao, Ke Chen, Ping Hu, Shaoli Zhao, Honghui He, Xin-xing Wan, Pingyu Zeng, Fang Wang and Zi Guo. Their work appears in journals such as Hormone and Metabolic Research, Advanced Science, Cell Research, Journal of Hematology & Oncology and Journal of Child Neurology.

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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