Wenbin Deng

5.7k citations
136 papers · 4.6k · h-index 37

Impact in

Papers in

Wenbin Deng

134 papers receiving 4.5k citations

Peers

Wenbin Deng
Comparison fields: 5 of 145
  • Developmental Neuroscience 1.0k
  • Neurology 797
  • Cellular and Molecular Neuroscience 871
  • Biological Psychiatry 107
  • Pediatrics, Perinatology and Child Health 700
Replace Zhi‐Cheng Xiao with:
Zhi‐Cheng Xiao China
João Bettencourt Relvas Portugal
John A. Duncan United States
Zinaida S. Vexler United States
Eskil Elmér Sweden
Christiane Charriaut‐Marlangue France
Heng Zhao United States
Jingwei Zhao China
Yasuki Ishizaki Japan
Feng Mei China
Wenbin Deng relative to Zhi‐Cheng Xiao China Zhi‐Cheng Xiao's profile →
Citations per field
00.5×2×3×4.1×
Zhi‐Cheng Xiao · 1×
Citations per year

Countries citing papers authored by Wenbin Deng

Since Specialization
Citations

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

Fields of papers citing papers by Wenbin Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004277
2 2010240
3 2013207
4 2014185
5 2003183
6 2004160
7 2009145
8 2013140
9 2008136
10 2010117
11 201192
12 201486
13 201181
14 201574
15 200370
16 201367
17 201565
18 201363
19 201159
20 201057

About Wenbin Deng

Wenbin Deng is a scholar working on Developmental Neuroscience, Neurology, Cellular and Molecular Neuroscience, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 136 papers that have together received 4.6k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (37 papers), Pluripotent Stem Cells Research (29 papers), Neuroinflammation and Neurodegeneration Mechanisms (19 papers), Neonatal and fetal brain pathology (13 papers), CRISPR and Genetic Engineering (11 papers), Neonatal Respiratory Health Research (10 papers), Neuroscience and Neuropharmacology Research (8 papers) and RNA Interference and Gene Delivery (8 papers). The work is most often cited by research in Developmental Neuroscience (1.0k citations), Neurology (797 citations), Cellular and Molecular Neuroscience (871 citations), Biological Psychiatry (107 citations) and Pediatrics, Perinatology and Child Health (700 citations). Wenbin Deng has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include David Pleasure, Jennifer M. Plane, Frances E. Jensen, Joseph J. Volpe, Paul A. Rosenberg, Vimal Selvaraj, Daniel J. Daugherty, R. D. Poretz, Peng Jiang and Olga V. Chechneva. Their work appears in journals such as Scientific Reports, Journal of Neuroscience, Journal of Visualized Experiments, International Journal of Molecular Sciences and Neurobiology of Disease.

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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