Wu Ma

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

Impact in

Papers in

Wu Ma

63 papers receiving 3.1k citations

Peers

Wu Ma
Comparison fields: 5 of 129
  • Developmental Neuroscience 621
  • Cellular and Molecular Neuroscience 1.5k
  • Behavioral Neuroscience 94
  • Neurology 192
  • Molecular Biology 1.3k
Replace Eyleen L. K. Goh with:
Eyleen L. K. Goh Singapore
Michal K. Stachowiak United States
Grzegorz M. Wilczyński Poland
Ramiro D. Almeida Portugal
Christophe Pellegrino France
Robert B. Campenot Canada
Vedrana Montana United States
Alberto Martínez‐Serrano Spain
Brian J. Wainger United States
Philippe Taupin Singapore
Wu Ma relative to Eyleen L. K. Goh Singapore Eyleen L. K. Goh's profile →
Citations per field
00.5×1.5×1.8×
Eyleen L. K. Goh · 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 2001210
2 2008190
3 1993160
4 2001140
5 2000137
6 1998132
7 2003129
8 2002116
9 2001106
10 2001100
11 200199
12 199299
13 200079
14 200276
15 201770
16 200467
17 200060
18 199859
19 200357
20 200257

About Wu Ma

Wu Ma is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Behavioral Neuroscience, Molecular Biology and Electrochemistry, 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 (8 papers), Nerve injury and regeneration (5 papers) and Anesthesia and Neurotoxicity Research (4 papers). The work is most often cited by research in Developmental Neuroscience (621 citations), Cellular and Molecular Neuroscience (1.5k citations), Behavioral Neuroscience (94 citations), Neurology (192 citations) and Molecular Biology (1.3k citations). Wu Ma has collaborated with scholars based in United States, China and Japan. 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, European Journal of Neuroscience, Neuroreport and Toxicon.

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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