Chaoran Ren

2.1k citations
47 papers · 1.6k · h-index 21

Impact in

Papers in

Chaoran Ren

44 papers receiving 1.6k citations

Peers

Chaoran Ren
Comparison fields: 5 of 126
  • Endocrine and Autonomic Systems 328
  • Biological Psychiatry 90
  • Behavioral Neuroscience 102
  • Cellular and Molecular Neuroscience 477
  • Developmental Neuroscience 69
Replace 杨洪滨 with:
杨洪滨 China
Filip Bergquist Sweden
Dongho Geum South Korea
Francisco Javier Rubio Spain
Elke Guenther Germany
Xiaodan Huang China
Peng Cao China
Baolin Guo China
Nicole Etchamendy France
Masafumi Morimoto Japan
Chaoran Ren relative to 杨洪滨 China 杨洪滨's profile →
Citations per field
00.5×2×2.6×
杨洪滨 · 1×
Citations per year

Countries citing papers authored by Chaoran Ren

Since Specialization
Citations

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

Fields of papers citing papers by Chaoran Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019240
2 2019130
3 2019105
4 2022103
5 201495
6 202081
7 201778
8 201464
9 201762
10 202050
11 202249
12 201345
13 201040
14 202339
15 202037
16 201735
17 201534
18 202031
19 202230
20 201126

About Chaoran Ren

Chaoran Ren is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Cognitive Neuroscience, Behavioral Neuroscience and Molecular Biology, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (14 papers), Retinal Development and Disorders (11 papers), Circadian rhythm and melatonin (11 papers), Neuroscience and Neural Engineering (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Neural dynamics and brain function (4 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (328 citations), Biological Psychiatry (90 citations), Behavioral Neuroscience (102 citations), Cellular and Molecular Neuroscience (477 citations) and Developmental Neuroscience (69 citations). Chaoran Ren has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Kwok‐Fai So, Xiaodan Huang, Qian Tao, Lu Huang, Mingliang Pu, Yue Xi, Yunwei Fu, Yan Yang, Fuqiang Xu and Rong Gu. Their work appears in journals such as Neuron, Advanced Science, Cell Transplantation, Investigative Ophthalmology & Visual Science and Translational 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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