Jun Ming Wang

41 papers receiving 1.7k citations

Peers

Jun Ming Wang
Comparison fields: 5 of 96
  • Behavioral Neuroscience 323
  • Developmental Neuroscience 367
  • Biological Psychiatry 124
  • Neurology 254
  • Cellular and Molecular Neuroscience 532
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Isabelle Neveu France
Paulina Roig Argentina
Sonia Luquı́n Mexico
Joaquı́n Garcı́a‐Estrada Mexico
Susana Laura González Argentina
Jukka T. Puoliväli Finland
David S. Zuzga United States
Estefanía Acaz‐Fonseca Spain
Yujiao Lu United States
Juraj Čulman Germany
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Citations per year

Countries citing papers authored by Jun Ming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005234
2 2010230
3 2011115
4 2011111
5 200698
6 200691
7 200789
8 201076
9 200373
10 201249
11 200848
12 201248
13 200744
14 201341
15 200340
16 201237
17 201233
18 201433
19 201026
20 199421

About Jun Ming Wang

Jun Ming Wang is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Neurology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (12 papers), Neuroscience and Neuropharmacology Research (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Alzheimer's disease research and treatments (6 papers), Renin-Angiotensin System Studies (5 papers), Estrogen and related hormone effects (5 papers), Menopause: Health Impacts and Treatments (5 papers) and Advanced Surface Polishing Techniques (4 papers). The work is most often cited by research in Behavioral Neuroscience (323 citations), Developmental Neuroscience (367 citations), Biological Psychiatry (124 citations), Neurology (254 citations) and Cellular and Molecular Neuroscience (532 citations). Jun Ming Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Roberta Dı́az Brinton, Ronald W. Irwin, Shuhua Chen, Patrick B. Johnston, Lifei Liu, Richard F. Thompson, Chanpreet Singh, Junhui Tan, Frans H. H. Leenen and Jia Yao. Their work appears in journals such as Alzheimer s & Dementia, PLoS ONE, Current Alzheimer Research, Neurobiology of Learning and Memory and American Journal of Physiology-Heart and Circulatory Physiology.

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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