Wei Ren

2.6k citations
114 papers · 2.0k · h-index 22

Impact in

Papers in

Wei Ren

106 papers receiving 1.9k citations

Peers

Wei Ren
Comparison fields: 5 of 136
  • Cognitive Neuroscience 767
  • Biological Psychiatry 92
  • Cellular and Molecular Neuroscience 670
  • Statistical and Nonlinear Physics 464
  • Behavioral Neuroscience 89
Replace David Paydarfar with:
David Paydarfar United States
Mahyar Janahmadi Iran
Angelo Di Garbo Spain
Susan M. Barman United States
Caroline E. Geisler United States
Clementina M. van Rijn Netherlands
Stuart Wynn Hughes United Kingdom
Maria G. Knyazeva Switzerland
Willem de Haan Netherlands
San-Jue Hu China
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Citations per field
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Citations per year

Countries citing papers authored by Wei Ren

Since Specialization
Citations

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

Fields of papers citing papers by Wei Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012406
2 2016191
3 201491
4 199763
5 200960
6 200358
7 200247
8 201746
9 200945
10 200443
11 201243
12 201839
13 201035
14 201131
15 201630
16 201928
17 201625
18 199724
19 200624
20 201023

About Wei Ren

Wei Ren is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics, Pharmacology and Computer Networks and Communications, having authored 114 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (23 papers), Neuroscience and Neuropharmacology Research (21 papers), stochastic dynamics and bifurcation (17 papers), Neurotransmitter Receptor Influence on Behavior (16 papers), Nonlinear Dynamics and Pattern Formation (14 papers), Cannabis and Cannabinoid Research (10 papers), Pain Mechanisms and Treatments (9 papers) and Sleep and Wakefulness Research (6 papers). The work is most often cited by research in Cognitive Neuroscience (767 citations), Biological Psychiatry (92 citations), Cellular and Molecular Neuroscience (670 citations), Statistical and Nonlinear Physics (464 citations) and Behavioral Neuroscience (89 citations). Wei Ren has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Huaguang Gu, Minghao Yang, Jing Han, Zhiqiang Liu, Zhiqiang Liu, Chunling Wei, Xia Zhang, Lin Xu, Shu-Cheng An and Guang Bai. Their work appears in journals such as Neuroreport, Chinese Physics Letters, Behavioural Brain Research, International Journal of Bifurcation and Chaos and Brain Research.

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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