Ming Wu

2.4k citations
34 papers · 1.5k · h-index 16

Impact in

Papers in

    • Photosynthetic Processes and Mechanisms 5
    • RNA Research and Splicing 2
    • Plant Molecular Biology Research 5
    • Light effects on plants 3

Ming Wu

32 papers receiving 1.5k citations

Peers

Ming Wu
Comparison fields: 5 of 123
  • Cellular and Molecular Neuroscience 432
  • Aging 33
  • Immunology 381
  • Cell Biology 274
  • Molecular Biology 656
Replace Lei Xue with:
Lei Xue China
Francisco A. Martín Spain
Ann S. Hammonds United States
Chrysoula Pitsouli Cyprus
Marc S. Halfon United States
Tina L. Tootle United States
Justin P. Kumar United States
Makoto Nakamura Japan
Sarah A. Bishop United Kingdom
Edward M. Rogers United States
Ming Wu relative to Lei Xue China Lei Xue's profile →
Citations per field
00.5×1.5×
Lei Xue · 1×
Citations per year

Countries citing papers authored by Ming Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ming Wu Line = papers co-authored together Ming Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010294
2 2008238
3 2016184
4 2013163
5 201791
6 197988
7 201864
8 201746
9 201044
10 201443
11 197833
12 198032
13 200328
14 197722
15 201718
16
Lipoxygenation of arachidonic acid by differentiated and undifferentiated human promyelocytic HL-60 cells.
198617
17 197515
18 198114
19 202311
20 20238

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), Blood transfusion and management (2 papers), RNA Research and Splicing (2 papers), Circadian rhythm and melatonin (2 papers) and Animal Behavior and Reproduction (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (432 citations), Aging (33 citations), Immunology (381 citations), Cell Biology (274 citations) and Molecular Biology (656 citations). Ming Wu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Tian Xu, A. A. Yunis, W. Ryan Williamson, Gwyneth M Card, Aljoscha Nern, Gerald M. Rubin, Isabel X. Wang, Vivian G. Cheung, Yue Zhao and Michael B. Reiser. Their work appears in journals such as Scientific Reports, Agronomy, Cell Reports, Journal of Clinical Investigation and Experimental Cell Research.

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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