Ming‐Ming Wu

33 papers receiving 509 citations

Peers

Ming‐Ming Wu
Comparison fields: 5 of 77
  • Sensory Systems 43
  • Endocrine and Autonomic Systems 40
  • Cellular and Molecular Neuroscience 92
  • Molecular Biology 263
  • Cardiology and Cardiovascular Medicine 73
Replace Khurshed A. Katki with:
Khurshed A. Katki United States
Shu Zhu China
Amy J. Pace United States
Gavin J. Searle Canada
Madeliene Stump United States
Eduardo Miguel‐Velado Spain
Ricco Lindner Germany
Patricia Viard France
Xiao‐Qing Dai Canada
Atsushi Hayama Japan
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Countries citing papers authored by Ming‐Ming Wu

Since Specialization
Citations

This map shows the geographic impact of Ming‐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‐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‐Ming Wu more than expected).

Fields of papers citing papers by Ming‐Ming Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ming‐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‐Ming Wu Line = papers co-authored together Ming‐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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201338
2 200436
3 201436
4 200128
5 201727
6 201527
7 200026
8 202223
9 202122
10 202020
11 201419
12 201519
13 201717
14 200817
15 200716
16 201914
17 201814
18 201814
19 202414
20 201512

About Ming‐Ming Wu

Ming‐Ming Wu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Sensory Systems, having authored 33 papers that have together received 514 indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (9 papers), Ion channel regulation and function (9 papers), Hormonal Regulation and Hypertension (4 papers), Ion Channels and Receptors (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Electrolyte and hormonal disorders (3 papers), Nicotinic Acetylcholine Receptors Study (3 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Sensory Systems (43 citations), Endocrine and Autonomic Systems (40 citations), Cellular and Molecular Neuroscience (92 citations), Molecular Biology (263 citations) and Cardiology and Cardiovascular Medicine (73 citations). Ming‐Ming Wu has collaborated with scholars based in China and United States. Frequent co-authors include Zhi‐Ren Zhang, Qiushi Wang, Yan‐Ai Mei, Bin‐Lin Song, Changjiang Yu, Harold H. Zakon, He‐Ping Ma, Dan Zhao, Zhihong Zhang and Song Jiao. Their work appears in journals such as Frontiers in Pharmacology, British Journal of Pharmacology, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Oxidative Medicine and Cellular Longevity and Brain 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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