Deheng Wang

866 citations
33 papers · 556 · h-index 12

Impact in

Papers in

Deheng Wang

31 papers receiving 543 citations

Peers

Deheng Wang
Comparison fields: 5 of 82
  • Cellular and Molecular Neuroscience 272
  • Developmental Neuroscience 45
  • Cognitive Neuroscience 205
  • Biological Psychiatry 22
  • Neurology 64
Replace Christine Huchzermeyer with:
Christine Huchzermeyer Germany
Karsten Baumgärtel United States
Mohammed Al‐Onaizi Canada
Monika Liguz‐Lecznar Poland
Ting‐Jia Lu China
Amy R. Dunn United States
Austin A. Coley United States
SukJae Joshua Kang South Korea
Anan Li China
Marco Peters United Kingdom
Deheng Wang relative to Christine Huchzermeyer Germany Christine Huchzermeyer's profile →
Citations per field
00.5×3.6×
Christine Huchzermeyer · 1×
Citations per year

Countries citing papers authored by Deheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Deheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201198
2 200997
3 202046
4 201445
5 201135
6 200723
7 201320
8 201519
9 202417
10 201415
11 201612
12 200812
13 202311
14 202311
15 202311
16 201811
17
Dexmedetomidine for the prevention of emergence delirium and postoperative behavioral changes in pediatric patients with sevoflurane anesthesia: a double-blind, randomized trial
201910
18 20239
19 20229
20 20217

About Deheng Wang

Deheng Wang is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Neurology and Physiology, having authored 33 papers that have together received 556 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Memory and Neural Mechanisms (9 papers), Neural dynamics and brain function (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neuroscience and Neural Engineering (3 papers), Alzheimer's disease research and treatments (3 papers), Neuroendocrine regulation and behavior (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (272 citations), Developmental Neuroscience (45 citations), Cognitive Neuroscience (205 citations), Biological Psychiatry (22 citations) and Neurology (64 citations). Deheng Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Joe Z. Tsien, Stephanie Jacobs, Xiaohua Cao, Zhenzhong Cui, Kun Xie, Qingwen Zeng, Dong Wang, Fēi Li, Hui Kuang and Xiaoming Shen. Their work appears in journals such as PLoS ONE, Scientific Reports, Nature Communications, European Journal of Neuroscience and Heredity.

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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