Deheng Wang

962 citations
36 papers · 656 · h-index 13

Impact in

Papers in

Deheng Wang

34 papers receiving 640 citations

Peers

Deheng Wang
Comparison fields: 5 of 87
  • Cellular and Molecular Neuroscience 244
  • Biological Psychiatry 24
  • Cognitive Neuroscience 189
  • Developmental Neuroscience 35
  • Neurology 58
Replace Christine Huchzermeyer with:
Christine Huchzermeyer Germany
Amy R. Dunn United States
Mohammed Al‐Onaizi Canada
Cristina Sánchez‐Puelles Spain
Anna Kiryk Poland
Monika Liguz‐Lecznar Poland
Kurtresha Worden United States
Ting‐Jia Lu China
Anne E. Panhelainen Finland
Xinlu Ding United States
Deheng Wang relative to Christine Huchzermeyer Germany Christine Huchzermeyer's profile →
Citations per field
00.5×2×4×5.9×
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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009103
2 2011100
3 202049
4 201449
5 201141
6 202430
7 202429
8 200724
9 201322
10 202319
11 202217
12 202316
13 201415
14 201613
15 200813
16 202313
17 201811
18 202311
19
Dexmedetomidine for the prevention of emergence delirium and postoperative behavioral changes in pediatric patients with sevoflurane anesthesia: a double-blind, randomized trial
201910
20 202210

About Deheng Wang

Deheng Wang is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology, Developmental Neuroscience and Molecular Biology, having authored 36 papers that have together received 656 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Memory and Neural Mechanisms (7 papers), Neural dynamics and brain function (6 papers), Neuroscience and Neural Engineering (4 papers), EEG and Brain-Computer Interfaces (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neuroendocrine regulation and behavior (2 papers) and Acupuncture Treatment Research Studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (244 citations), Biological Psychiatry (24 citations), Cognitive Neuroscience (189 citations), Developmental Neuroscience (35 citations) and Neurology (58 citations). Deheng Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Joe Z. Tsien, Xiaohua Cao, Stephanie Jacobs, Zhenzhong Cui, Qingwen Zeng, Kun Xie, Hui Kuang, Fei Ran Li, Dong Wang and Xiaoming Shen. Their work appears in journals such as PLoS ONE, EBioMedicine, Pharmacological Research, Neurocomputing and Sensors and Actuators B Chemical.

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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