Shining Deng

652 citations
22 papers · 505 · h-index 13

Impact in

Papers in

Shining Deng

22 papers receiving 496 citations

Peers

Shining Deng
Comparison fields: 5 of 67
  • Cognitive Neuroscience 185
  • Cellular and Molecular Neuroscience 153
  • Behavioral Neuroscience 20
  • Biological Psychiatry 13
  • Psychiatry and Mental health 78
Replace Giuditta Gambino with:
Giuditta Gambino Italy
Lézio Soares Bueno-Júnior Brazil
Naser Naghdi Iran
M. Orlandi Italy
Małgorzata Zienowicz Poland
María Leonor López‐Meraz Mexico
Priscila Alves Balista Brazil
Taiichiro Imanishi Japan
Gustavo Liy-Salmerón Mexico
Rafael Naime Ruggiero Brazil
Shining Deng relative to Giuditta Gambino Italy Giuditta Gambino's profile →
Citations per field
00.5×1.5×1.9×
Giuditta Gambino · 1×
Citations per year

Countries citing papers authored by Shining Deng

Since Specialization
Citations

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

Fields of papers citing papers by Shining Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202087
2 202062
3 201649
4 201639
5 201432
6 202129
7 201827
8 201326
9 201425
10 201722
11 201320
12 202014
13 201513
14 201912
15 200811
16 202010
17 20189
18 20188
19 20225
20 20133

About Shining Deng

Shining Deng is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Genetics and Social Psychology, having authored 22 papers that have together received 505 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Neuroscience and Neural Engineering (4 papers), Autism Spectrum Disorder Research (4 papers), Memory and Neural Mechanisms (3 papers), Receptor Mechanisms and Signaling (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Cognitive Neuroscience (185 citations), Cellular and Molecular Neuroscience (153 citations), Behavioral Neuroscience (20 citations), Biological Psychiatry (13 citations) and Psychiatry and Mental health (78 citations). Shining Deng has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Fēi Li, Wei‐Guang Li, Fēi Li, Xiujuan Du, Juehua Yu, Kai Wang, Qiang Luo, Weihong Ge, Jianfeng Feng and Jing Ding. Their work appears in journals such as Scientific Reports, Translational Psychiatry, Neuropharmacology, ACS Chemical Neuroscience and Frontiers in Psychiatry.

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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