Ming Wu
Impact in
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- Neurobiology and Insect Physiology Research
- Immunology top 10%
- Invertebrate Immune Response Mechanisms
Papers in
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- Photosynthetic Processes and Mechanisms 5
- Ubiquitin and proteasome pathways 2
- RNA Research and Splicing 2
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- Plant Molecular Biology Research 5
- Light effects on plants 3
- Co-authors
- Tian Xu (2 shared papers)A. A. Yunis (7 shared papers)Aljoscha Nern (2 shared papers)Gwyneth M Card (2 shared papers)W. Ryan Williamson (2 shared papers)Gerald M. Rubin (2 shared papers)Isabel X. Wang (2 shared papers)Vivian G. Cheung (2 shared papers)
- Journals
- Scientific Reports (2 papers)Cell Reports (2 papers)Agronomy (2 papers)Experimental Cell Research (2 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Ming Wu
32 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 122
- Cellular and Molecular Neuroscience 435
- Immunology 379
- Aging 33
- Cell Biology 271
- Molecular Biology 646
Countries citing papers authored by Ming Wu
This map shows the geographic impact of Ming 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 Ming Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wu more than expected).
Fields of papers citing papers by Ming Wu
This network shows the impact of papers produced by Ming 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 Ming Wu. The network helps show where Ming Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 298 | |
| 2 | 2008 | 239 | |
| 3 | 2016 | 188 | |
| 4 | 2013 | 164 | |
| 5 | 2017 | 92 | |
| 6 | 1979 | 88 | |
| 7 | 2018 | 67 | |
| 8 | 2017 | 46 | |
| 9 | 2010 | 44 | |
| 10 | 2014 | 43 | |
| 11 | 1978 | 33 | |
| 12 | 1980 | 32 | |
| 13 | 2003 | 28 | |
| 14 | 1977 | 22 | |
| 15 | 2017 | 18 | |
| 16 | Lipoxygenation of arachidonic acid by differentiated and undifferentiated human promyelocytic HL-60 cells. | 1986 | 17 |
| 17 | 1975 | 15 | |
| 18 | 1981 | 14 | |
| 19 | 2023 | 11 | |
| 20 | 2019 | 8 |
About Ming Wu
Ming Wu is a scholar working on Molecular Biology, Plant Science, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Cognitive Neuroscience, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (5 papers), Photosynthetic Processes and Mechanisms (5 papers), Neurobiology and Insect Physiology Research (3 papers), Light effects on plants (3 papers), Ubiquitin and proteasome pathways (2 papers), Neural and Behavioral Psychology Studies (2 papers), Animal Behavior and Reproduction (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (435 citations), Immunology (379 citations), Aging (33 citations), Cell Biology (271 citations) and Molecular Biology (646 citations). Ming Wu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Tian Xu, A. A. Yunis, Aljoscha Nern, Gwyneth M Card, W. Ryan Williamson, Gerald M. Rubin, Isabel X. Wang, Vivian G. Cheung, Yue Zhao and Mai M Morimoto. Their work appears in journals such as Scientific Reports, Cell Reports, Agronomy, Experimental Cell Research and Journal of Clinical Investigation.
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.