Ming‐Ming Wu

32 papers receiving 467 citations

Peers

Ming‐Ming Wu
Comparison fields: 5 of 80
  • Sensory Systems 42
  • Endocrine and Autonomic Systems 38
  • Cellular and Molecular Neuroscience 98
  • Molecular Biology 282
  • Cardiology and Cardiovascular Medicine 73
Replace Madeliene Stump with:
Madeliene Stump United States
Khurshed A. Katki United States
Patricia Viard France
Masaki Tanaka Japan
Oleksandr V. Povstyan United Kingdom
Mariko Sumi Japan
Olaia Colinas Spain
Sarah Hughes United States
Shu Zhu China
Eduardo Monjaraz Mexico
Ming‐Ming Wu relative to Madeliene Stump United States Madeliene Stump's profile →
Citations per field
00.5×2.5×
Madeliene Stump · 1×
Citations per year

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-authorship network

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
#Work
1 20251
2 202221
3 20216
4 202121
5 20217
6 20211
7 202017
8 202011
9 201814
10 20186
11 20187
12 201527
13 201419
14 201337
15 200810
16 200710
17 200435
18 20037
19 200127
20 200026

About Ming‐Ming Wu

Ming‐Ming Wu is a scholar working on Sensory Systems, Developmental Neuroscience, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 32 papers that have together received 471 indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (11 papers), Ion channel regulation and function (10 papers), Neuroscience and Neuropharmacology Research (4 papers), Ion Channels and Receptors (4 papers), Electrolyte and hormonal disorders (4 papers), Hormonal Regulation and Hypertension (4 papers), Sodium Intake and Health (3 papers) and Nitric Oxide and Endothelin Effects (3 papers). The work is most often cited by research in Sensory Systems (42 citations), Endocrine and Autonomic Systems (38 citations), Cellular and Molecular Neuroscience (98 citations), Molecular Biology (282 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, He‐Ping Ma, Dan Zhao, Song Jiao, Harold H. Zakon and Na Niu. 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 Frontiers in Cell and Developmental 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026