Yan Shen

6.4k citations
108 papers · 4.3k · h-index 35

Impact in

Papers in

Yan Shen

105 papers receiving 4.2k citations

Peers

Yan Shen
Comparison fields: 5 of 133
  • Biological Psychiatry 379
  • Cellular and Molecular Neuroscience 806
  • Behavioral Neuroscience 133
  • Neurology 274
  • Psychiatry and Mental health 448
Replace Michelle E. Ehrlich with:
Michelle E. Ehrlich United States
Fabrizio Giuliani Canada
Jessy Présumey France
Qi Xu China
Bo Xiao China
Marcelo Páez-Pereda Germany
Roberto Gradini Italy
Stéphane Melik Parsadaniantz France
Shuei Sugama Japan
Yan Shen relative to Michelle E. Ehrlich United States Michelle E. Ehrlich's profile →
Citations per field
00.5×2.6×
Michelle E. Ehrlich · 1×
Citations per year

Countries citing papers authored by Yan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Yan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001329
2 2010310
3 2003309
4 2010236
5 2005233
6 2006107
7 201598
8 201892
9 200485
10 201184
11 200283
12 200678
13 202178
14 200476
15 201570
16 200870
17 200668
18 199766
19 201662
20 200459

About Yan Shen

Yan Shen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Psychiatry and Mental health and Oncology, having authored 108 papers that have together received 4.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Genetics and Neurodevelopmental Disorders (13 papers), Epilepsy research and treatment (10 papers), RNA modifications and cancer (9 papers), RNA Research and Splicing (7 papers), Ion channel regulation and function (7 papers), Tryptophan and brain disorders (7 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). The work is most often cited by research in Biological Psychiatry (379 citations), Cellular and Molecular Neuroscience (806 citations), Behavioral Neuroscience (133 citations), Neurology (274 citations) and Psychiatry and Mental health (448 citations). Yan Shen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qi Xu, David Pleasure, Wenbin Deng, Jennifer M. Plane, Boqin Qiang, Wilson H.Y. Lo, Yun Tan, Lian Yuan Cao, Dong Zhou and Jianbo Xiu. Their work appears in journals such as American Journal of Medical Genetics Part B Neuropsychiatric Genetics, Molecular Neurobiology, Journal of Affective Disorders, Schizophrenia Research and Oncogene.

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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