Yan Ren

1.0k citations
46 papers · 766 · h-index 17

Impact in

    • Tryptophan and brain disorders
  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological disorders and treatments

Papers in

    • Parkinson's Disease Mechanisms and Treatments 10
    • Neuroinflammation and Neurodegeneration Mechanisms 8
    • Neurological disorders and treatments 3
    • Nuclear Receptors and Signaling 3
    • Genetic Neurodegenerative Diseases 3

Yan Ren

43 papers receiving 757 citations

Peers

Yan Ren
Comparison fields: 5 of 91
  • Biological Psychiatry 60
  • Neurology 156
  • Neurology 156
  • Aging 14
  • Developmental Neuroscience 30
Replace Lilah Toker with:
Lilah Toker Israel
Amy R. Dunn United States
Xiaopeng Song China
Laura M. Vecchio Canada
Mei Yu China
Mónica A. Maldonado United States
Jorge S. Valadas Belgium
Elisa Bisicchia Italy
Kelly C. Rilett Canada
Na Xiao China
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Citations per field
00.5×1.5×
Lilah Toker · 1×
Citations per year

Countries citing papers authored by Yan Ren

Since Specialization
Citations

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

Fields of papers citing papers by Yan Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201299
2 201266
3 201753
4 201538
5 201036
6 201536
7 200831
8 201729
9 201527
10 201225
11 201722
12 201521
13 201621
14 201920
15 201218
16 201817
17 201317
18 201316
19 201716
20 201215

About Yan Ren

Yan Ren is a scholar working on Neurology, Neurology, Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience, having authored 46 papers that have together received 766 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Nuclear Receptors and Signaling (3 papers), Neurological disorders and treatments (3 papers), Functional Brain Connectivity Studies (3 papers), Alzheimer's disease research and treatments (3 papers), Genetic Neurodegenerative Diseases (3 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Biological Psychiatry (60 citations), Neurology (156 citations), Neurology (156 citations), Aging (14 citations) and Developmental Neuroscience (30 citations). Yan Ren has collaborated with scholars based in China, United States and France. Frequent co-authors include Xiaoguang Luo, Fan Lou, Ning Sun, Kerang Zhang, Yong Xu, Zhiyi He, Chunxia Yang, Zhifen Liu, Hongmei Yu and Yu Feng. Their work appears in journals such as Translational Neurodegeneration, Journal of Neuroinflammation, Journal of Affective Disorders, Dementia and Geriatric Cognitive Disorders and Journal of Neurology.

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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