Wu‐Min Deng

4.2k citations
82 papers · 3.3k · h-index 29

Impact in

  • Aging top 1%
    • Hippo pathway signaling and YAP/TAZ
    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions

Papers in

    • Developmental Biology and Gene Regulation 38
    • Wnt/β-catenin signaling in development and cancer 11
    • Genomics and Chromatin Dynamics 7
    • Hippo pathway signaling and YAP/TAZ 26
    • Microtubule and mitosis dynamics 11
    • Cellular Mechanics and Interactions 10

Wu‐Min Deng

80 papers receiving 3.2k citations

Peers

Wu‐Min Deng
Comparison fields: 5 of 114
  • Aging 201
  • Cell Biology 1.1k
  • Molecular Biology 2.3k
  • Cellular and Molecular Neuroscience 520
  • Immunology 473
Replace Michael Buszczak with:
Michael Buszczak United States
Jordi Casanova Spain
François Payre France
Simon L. Bullock United Kingdom
Pascal Heitzler France
Hyung Don Ryoo United States
Erika Matunis United States
Kimberly McCall United States
Jean‐Paul Vincent United Kingdom
Enrique Martı́n-Blanco Spain
Wu‐Min Deng relative to Michael Buszczak United States Michael Buszczak's profile →
Citations per field
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Michael Buszczak · 1×
Citations per year

Countries citing papers authored by Wu‐Min Deng

Since Specialization
Citations

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

Fields of papers citing papers by Wu‐Min Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001193
2 2012179
3 1997161
4 2017149
5 2010147
6 2007138
7 2018116
8 2005113
9 2013113
10 2008101
11 200699
12 199992
13 199992
14 201085
15 200883
16 201672
17 202069
18 201468
19 201668
20 201565

About Wu‐Min Deng

Wu‐Min Deng is a scholar working on Molecular Biology, Cell Biology, Immunology, Cellular and Molecular Neuroscience and Plant Science, having authored 82 papers that have together received 3.3k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (38 papers), Hippo pathway signaling and YAP/TAZ (26 papers), Invertebrate Immune Response Mechanisms (16 papers), Neurobiology and Insect Physiology Research (16 papers), Microtubule and mitosis dynamics (11 papers), Wnt/β-catenin signaling in development and cancer (11 papers), Cellular Mechanics and Interactions (10 papers) and Genomics and Chromatin Dynamics (7 papers). The work is most often cited by research in Aging (201 citations), Cell Biology (1.1k citations), Molecular Biology (2.3k citations), Cellular and Molecular Neuroscience (520 citations) and Immunology (473 citations). Wu‐Min Deng has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Mary Bownes, Yoichiro Tamori, Jianjun Sun, Yi‐Chun Huang, Hannele Ruohola‐Baker, Aiguo Tian, Dongyu Jia, William Palmer, Stephen Klusza and Zhongsheng Yu. Their work appears in journals such as Developmental Biology, Development, Developmental Cell, Journal of Cell Science and PLoS Biology.

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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