Wu‐Min Deng
- Aging top 1%
- Cell Biology top 1%
- Hippo pathway signaling and YAP/TAZ 26
- Microtubule and mitosis dynamics 11
- Cellular Mechanics and Interactions 10
- Molecular Biology top 5%
- Developmental Biology and Gene Regulation 38
- Wnt/β-catenin signaling in development and cancer 11
- Genomics and Chromatin Dynamics 7
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- Neurobiology and Insect Physiology Research 16
- Immunology top 5%
- Invertebrate Immune Response Mechanisms 16
- Co-authors
- Mary BownesYoichiro TamoriJianjun SunYi‐Chun HuangJoanna PoultonHannele Ruohola‐BakerAiguo TianWilliam Palmer
- Cited by
- AgingCell BiologyMolecular Biology
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Wu‐Min Deng
79 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 113
- Aging 198
- Cell Biology 1.1k
- Molecular Biology 2.3k
- Cellular and Molecular Neuroscience 510
- Immunology 463
Countries citing papers authored by Wu‐Min Deng
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 19 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 12 | |
| 11 | 2021 | 15 | |
| 12 | 2021 | 16 | |
| 13 | 2020 | 66 | |
| 14 | 2012 | 9 | |
| 15 | 2010 | 138 | |
| 16 | 2007 | 1 | |
| 17 | 2006 | 98 | |
| 18 | 2001 | 188 | |
| 19 | 1999 | 87 | |
| 20 | 1998 | 52 |
About Wu‐Min Deng
Wu‐Min Deng is a scholar working on Aging, Cell Biology, Molecular Biology, Cellular and Molecular Neuroscience and Immunology, having authored 81 papers that have together received 3.1k 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 (198 citations), Cell Biology (1.1k citations), Molecular Biology (2.3k citations), Cellular and Molecular Neuroscience (510 citations) and Immunology (463 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, Joanna Poulton, Hannele Ruohola‐Baker, Aiguo Tian, William Palmer, Dongyu Jia and Stephen Klusza. Their work appears in journals such as Developmental Biology, Development, Developmental Cell, PLoS Biology and Trends in Cell 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.