Chenyu Ye

692 citations
24 papers · 468 · h-index 12

Impact in

Papers in

Chenyu Ye

22 papers receiving 461 citations

Peers

Chenyu Ye
Comparison fields: 5 of 105
  • Cellular and Molecular Neuroscience 88
  • Endocrine and Autonomic Systems 21
  • Endocrinology, Diabetes and Metabolism 42
  • Molecular Biology 180
  • Electronic, Optical and Magnetic Materials 48
Replace Tong Yu with:
Tong Yu China
Kenta Morita Japan
Connie Wu United States
Julia Ding United States
Dongmei Wang China
Dohyun Im Japan
Gaeun Park South Korea
Anirvan Guha United States
Aidan Fagan-Murphy United Kingdom
Chenyu Ye relative to Tong Yu China Tong Yu's profile →
Citations per field
00.5×3.5×
Tong Yu · 1×
Citations per year

Countries citing papers authored by Chenyu Ye

Since Specialization
Citations

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

Fields of papers citing papers by Chenyu Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013109
2 202172
3 202165
4 202136
5 201629
6 202126
7 201423
8 202318
9 201615
10 201213
11 202311
12 202011
13 20139
14 20237
15 20226
16 20215
17 20244
18 20233
19 20133
20
Association study of brain-derived neurotrophic factor(BDNF)gene polymorphism in patients with schizophrenia
20111

About Chenyu Ye

Chenyu Ye is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Materials Chemistry, Surgery and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 468 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Glycosylation and Glycoproteins Research (2 papers), Diabetes Treatment and Management (2 papers), Mental Health and Psychiatry (2 papers), Soil Carbon and Nitrogen Dynamics (2 papers), Neuropeptides and Animal Physiology (2 papers), Color perception and design (1 paper) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (88 citations), Endocrine and Autonomic Systems (21 citations), Endocrinology, Diabetes and Metabolism (42 citations), Molecular Biology (180 citations) and Electronic, Optical and Magnetic Materials (48 citations). Chenyu Ye has collaborated with scholars based in China, Japan and Germany. Frequent co-authors include Min Chen, Limin Wu, Shuxue Zhou, Ming‐Wei Wang, Dehua Yang, H. Eric Xu, Antao Dai, Jianlin Ji, Fulai Zhou and Yi Jiang. Their work appears in journals such as Restoration Ecology, Journal of Alzheimer s Disease, Acta Pharmaceutica Sinica B, Nature Communications and PLoS ONE.

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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