ZhengMing Wu

1.3k citations
16 papers · 868 indexed · 1 hit paper · h-index 9
Topics
Hippo pathway signaling and YAP/TAZ (6 papers)CAR-T cell therapy research (4 papers)Wnt/β-catenin signaling in development and cancer (4 papers)
Partner nations
United StatesChinaNorway

In The Last Decade

ZhengMing Wu

15 papers receiving 859 citations

Hit Papers

Insights into recent findings and clinical application of...202320262024202520234080120

Peers

ZhengMing Wu
Comparison fields: 5 of 80
  • Molecular Biology 469
  • Oncology 304
  • Cell Biology 274
  • Immunology 235
  • Cancer Research 144
Replace Paul‐Joseph Aspuria with:
Paul‐Joseph Aspuria United States
María José Sandí France
Eleonora Lapi Spain
Ryo Koyama‐Nasu Japan
Weei-Chin Lin United States
Ok Sun Bang South Korea
Mélanie Beaujouin France
Alexander Damalas Italy
Katherine Sully United Kingdom
Svetlana Stoykova United States
ZhengMing Wu relative to Paul‐Joseph Aspuria United States Paul‐Joseph Aspuria's profile →
Citations per field
00.5×3.8×
Paul‐Joseph Aspuria · 1×
Citations per year

Countries citing papers authored by ZhengMing Wu

Since Specialization
Citations

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

Fields of papers citing papers by ZhengMing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of ZhengMing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of ZhengMing Wu. A scholar is included among the top collaborators of ZhengMing Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with ZhengMing Wu. ZhengMing Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 36
3
Insights into recent findings and clinical application of YAP and TAZ in cancerbreakdown →
120
4 3
5 1
6 41
7 46
8 51
9 159
10 233
11 1
12 4
13 44
14 3
15 124
16
Studies on anticancer activities of triterpenoid in Anemone raddeana Regel
2

About ZhengMing Wu

ZhengMing Wu is a scholar working on Cell Biology, Geriatrics and Gerontology and Physiology, having authored 16 papers that have together received 868 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (6 papers), CAR-T cell therapy research (4 papers) and Wnt/β-catenin signaling in development and cancer (4 papers). The work is most often cited by research in Cell Biology (274 citations), Oncology (304 citations) and Immunology (235 citations). ZhengMing Wu has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Kun‐Liang Guan, James Franklin, Qingquan Li, Eivind Heggernes Ask, Robert Blum, Zhu Huang, Karl‐Johan Malmberg, Dan S. Kaufman, Zhipeng Meng and Hanna Julie Hoel. Their work appears in journals such as Nature, Nature Communications and Nature reviews. 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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