Wu Ma

3.9k citations
66 papers · 3.3k · h-index 35

Impact in

Papers in

Wu Ma

65 papers receiving 3.2k citations

Peers

Wu Ma
Comparison fields: 5 of 131
  • Developmental Neuroscience 616
  • Cellular and Molecular Neuroscience 1.6k
  • Behavioral Neuroscience 91
  • Neurology 178
  • Molecular Biology 1.4k
Replace Hyunsoo Shawn Je with:
Hyunsoo Shawn Je United States
Michal K. Stachowiak United States
Eyleen L. K. Goh Singapore
Ramiro D. Almeida Portugal
Grzegorz Marek Wilczynski Poland
Clare L. Parish Australia
Alberto Martı́nez-Serrano Spain
Gavin Stewart Dawe Singapore
Christophe Pellegrino France
Eun‐Mi Hur South Korea
Wu Ma relative to Hyunsoo Shawn Je United States Hyunsoo Shawn Je's profile →
Citations per field
00.5×1.5×
Hyunsoo Shawn Je · 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 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001229
2 2008208
3 1993174
4 2001162
5 1998141
6 2000140
7 2003133
8 2002118
9 2001114
10 2001110
11 1992104
12 2001102
13 200082
14 200278
15 201778
16 200471
17 199865
18 200361
19 200260
20 200060

About Wu Ma

Wu Ma is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Molecular Biology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 66 papers that have together received 3.3k 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 Neuroendocrine regulation and behavior (4 papers). The work is most often cited by research in Developmental Neuroscience (616 citations), Cellular and Molecular Neuroscience (1.6k citations), Behavioral Neuroscience (91 citations), Neurology (178 citations) and Molecular Biology (1.4k citations). Wu Ma has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Jeffery L. Barker, David Andrew Stenger, Kara M. Shaffer, Joseph Jewell Pancrazio, Dragan Maric, Thomas J. O’Shaughnessy, Harish Chandra Pant, Yoong Hee Chang, Toby N. Behar and Ashok B. Kulkarni. Their work appears in journals such as Developmental Brain Research, The Journal of Comparative Neurology, Developmental Dynamics, European Journal of Neuroscience and Neuroreport.

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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