Yangping Wu

1.6k citations
22 papers · 990 · h-index 14

Impact in

  • Cell Biology top 10%
    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions
  • Oncology top 10%

Papers in

    • 14-3-3 protein interactions 2
    • Cancer Immunotherapy and Biomarkers 2
    • Cancer Cells and Metastasis 2
    • HER2/EGFR in Cancer Research 2

Yangping Wu

22 papers receiving 986 citations

Peers

Yangping Wu
Comparison fields: 5 of 85
  • Cell Biology 158
  • Oncology 238
  • Organic Chemistry 211
  • Molecular Biology 490
  • Cancer Research 96
Replace Tong Ying Shun with:
Tong Ying Shun United States
Bainan Wu United States
George Vielhauer United States
Landon R. Whitby United States
Maria Hägg Olofsson Sweden
Alison Maloney United Kingdom
Wuli Zhao China
Yoshinori Kawazoe Japan
Eunice EunKyeong Kim South Korea
Konstantinos Kiakos United Kingdom
Yangping Wu relative to Tong Ying Shun United States Tong Ying Shun's profile →
Citations per field
00.5×3.2×
Tong Ying Shun · 1×
Citations per year

Countries citing papers authored by Yangping Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yangping Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015192
2 2021189
3 202091
4 201768
5 201763
6 201561
7 201643
8 201542
9 202141
10 201733
11 201231
12 202130
13 201428
14 201415
15 201313
16 201913
17 202312
18 20249
19 20176
20 20235

About Yangping Wu

Yangping Wu is a scholar working on Molecular Biology, Oncology, Immunology, Cell Biology and Infectious Diseases, having authored 22 papers that have together received 990 indexed citations. Recurring topics across this work include Immune cells in cancer (3 papers), 14-3-3 protein interactions (2 papers), Microtubule and mitosis dynamics (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer Cells and Metastasis (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Cell Function and Interaction (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Cell Biology (158 citations), Oncology (238 citations), Organic Chemistry (211 citations), Molecular Biology (490 citations) and Cancer Research (96 citations). Yangping Wu has collaborated with scholars based in China, United States and France. Frequent co-authors include Jinliang Yang, Xi Chen, Yuxi Wang, Qiang Chen, Yamei Yu, Benoı̂t Gigant, Qinhuai Lai, Hang Zhang, Qian Lei and Tinghan Yang. Their work appears in journals such as Journal of Molecular Medicine, Frontiers in Immunology, Signal Transduction and Targeted Therapy, European Journal of Medicinal Chemistry and International Journal of Gynecological Cancer.

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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