Shenggen Chen

687 citations
17 papers · 224 · h-index 9

Impact in

Papers in

Shenggen Chen

17 papers receiving 216 citations

Peers

Shenggen Chen
Comparison fields: 5 of 61
  • Psychiatry and Mental health 74
  • Statistical and Nonlinear Physics 41
  • Cognitive Neuroscience 60
  • Neurology 21
  • Cellular and Molecular Neuroscience 45
Replace Viktor Ší́p with:
Viktor Ší́p France
Giulia Varotto Italy
Delphine Cosandier‐Rimélé France
Radek Janča Czechia
Karin Schiecke Germany
Leah R. Enders United States
Marc-André Schulz Germany
Simone Carozzo Italy
Fadi Mikhail United States
Nagulan Ratnarajah Sri Lanka
Shenggen Chen relative to Viktor Ší́p France Viktor Ší́p's profile →
Citations per field
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Viktor Ší́p · 1×
Citations per year

Countries citing papers authored by Shenggen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shenggen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201956
2 201435
3 201225
4 202123
5 201719
6 202115
7 20159
8 20168
9 20228
10 20177
11 20167
12 20213
13 20242
14 20222
15
[The effect of high frequency stimulation of epileptic foci on the release of glutamate and gamma-aminobutyric acid in hippocampus of the kainic acid-kindled rats].
20112
16 20122
17
[Effect of serotonin depletion on seizures learning-memory in pilocarpine-induced epileptic rats].
20121

About Shenggen Chen

Shenggen Chen is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 17 papers that have together received 224 indexed citations. Recurring topics across this work include Epilepsy research and treatment (3 papers), Nonlinear Dynamics and Pattern Formation (2 papers), Neural dynamics and brain function (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Functional Brain Connectivity Studies (2 papers), stochastic dynamics and bifurcation (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper) and Neurotransmitter Receptor Influence on Behavior (1 paper). The work is most often cited by research in Psychiatry and Mental health (74 citations), Statistical and Nonlinear Physics (41 citations), Cognitive Neuroscience (60 citations), Neurology (21 citations) and Cellular and Molecular Neuroscience (45 citations). Shenggen Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Huaguang Gu, Huapin Huang, Changyun Liu, Lei Wang, Fayang Jin, Jun Lu, Yanqing Wang, Bing Wei, Weipeng Yang and Yuye Li. Their work appears in journals such as Scientific Reports, Journal of Pain Research, Molecular Neurobiology, Frontiers in Neurology and Brain and Behavior.

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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