Wu Ma

3.9k citations
65 papers · 3.1k · h-index 35

Impact in

Papers in

Wu Ma

63 papers receiving 3.1k citations

Peers

Wu Ma
Comparison fields: 5 of 128
  • Developmental Neuroscience 601
  • Cellular and Molecular Neuroscience 1.5k
  • Behavioral Neuroscience 83
  • Neurology 174
  • Molecular Biology 1.3k
Replace Michal K. Stachowiak with:
Michal K. Stachowiak United States
Eyleen L. K. Goh Singapore
Ramiro D. Almeida Portugal
Grzegorz M. Wilczyński Poland
Alberto Martı́nez-Serrano Spain
Bradley R. Miller United States
Christophe Pellegrino France
Vedrana Montana United States
Eun‐Mi Hur South Korea
James B. Uney United Kingdom
Wu Ma relative to Michal K. Stachowiak United States Michal K. Stachowiak's profile →
Citations per field
00.5×1.5×
Michal K. Stachowiak · 1×
Citations per year

Countries citing papers authored by Wu Ma

Since Specialization
Citations

This map shows the geographic impact of Wu Ma'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 Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Ma more than expected).

Fields of papers citing papers by Wu Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wu Ma, 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 Wu Ma Line = papers co-authored together Wu Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001211
2 2008193
3 1993159
4 2001141
5 2000137
6 1998132
7 2003129
8 2002115
9 2001106
10 2001100
11 199299
12 200199
13 200078
14 200276
15 201772
16 200467
17 200060
18 199859
19 200357
20 200257

About Wu Ma

Wu Ma is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 65 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (21 papers), Neurogenesis and neuroplasticity mechanisms (15 papers), Neuroscience and Neural Engineering (13 papers), Pluripotent Stem Cells Research (11 papers), Ion channel regulation and function (9 papers), 3D Printing in Biomedical Research (6 papers), Nerve injury and regeneration (5 papers) and Cardiac electrophysiology and arrhythmias (4 papers). The work is most often cited by research in Developmental Neuroscience (601 citations), Cellular and Molecular Neuroscience (1.5k citations), Behavioral Neuroscience (83 citations), Neurology (174 citations) and Molecular Biology (1.3k citations). Wu Ma has collaborated with scholars based in United States, China and France. Frequent co-authors include Jeffery L. Barker, David A. Stenger, Kara M. Shaffer, Joseph J. Pancrazio, Dragan Maric, Thomas J. O’Shaughnessy, Yoong Hee Chang, Harish C. Pant, Toby Behar and Ashok B. Kulkarni. Their work appears in journals such as Developmental Brain Research, The Journal of Comparative Neurology, Neuroreport, Biosensors and Bioelectronics and International Journal of Developmental Neuroscience.

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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