Yan Wu

3.9k citations
111 papers · 2.8k · h-index 28

Impact in

  • Immunology top 5%
    • Immune cells in cancer
    • Immune Response and Inflammation
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • Protein Kinase Regulation and GTPase Signaling 7
    • PI3K/AKT/mTOR signaling in cancer 7
    • Insect Resistance and Genetics 6
    • Receptor Mechanisms and Signaling 6
    • Cytokine Signaling Pathways and Interactions 6

Yan Wu

110 papers receiving 2.7k citations

Peers

Yan Wu
Comparison fields: 5 of 121
  • Immunology 561
  • Cancer Research 312
  • Hepatology 110
  • Rheumatology 205
  • Periodontics 61
Replace Lin Xu with:
Lin Xu China
Rieko Arakaki Japan
Tomohiko Murakami Japan
Joanna Cichy Poland
Shizuya Saika Japan
Sean E. Gill Canada
Randy C. Mifflin United States
Stefano Bruscoli Italy
Changyu Zheng United States
Shunji Hattori Japan
Yan Wu relative to Lin Xu China Lin Xu's profile →
Citations per field
00.5×1.5×
Lin Xu · 1×
Citations per year

Countries citing papers authored by Yan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019292
2 2015188
3 2012140
4 2015126
5 202093
6 201674
7 199671
8 199964
9 201861
10 201459
11 201357
12 201756
13 201649
14 201548
15 201645
16 201039
17 201636
18 202036
19 199436
20 199634

About Yan Wu

Yan Wu is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Surgery, having authored 111 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (9 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Osteoarthritis Treatment and Mechanisms (6 papers), Insect Resistance and Genetics (6 papers), Receptor Mechanisms and Signaling (6 papers), Cytokine Signaling Pathways and Interactions (6 papers) and Mesenchymal stem cell research (6 papers). The work is most often cited by research in Immunology (561 citations), Cancer Research (312 citations), Hepatology (110 citations), Rheumatology (205 citations) and Periodontics (61 citations). Yan Wu has collaborated with scholars based in China, United States and Ghana. Frequent co-authors include Ian S. Zagon, Patricia J. McLaughlin, Yongchang Chen, Zuyi Yuan, Boon Chin Heng, Yuandong Tao, Li Tang, Wenting Yang, Xinyuan Zhao and Hai Qian. Their work appears in journals such as American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Scientific Reports, International Journal of Molecular Medicine, Cell Biology International and Oncotarget.

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.

Explore authors with similar magnitude of impact