Bai‐Ren Wang

1.2k citations
40 papers · 1.1k · h-index 20

Impact in

Papers in

Bai‐Ren Wang

40 papers receiving 1.0k citations

Peers

Bai‐Ren Wang
Comparison fields: 5 of 100
  • Endocrine and Autonomic Systems 228
  • Neurology 194
  • Biological Psychiatry 33
  • Cellular and Molecular Neuroscience 213
  • Developmental Neuroscience 45
Replace Chunmei Xia with:
Chunmei Xia China
Phillip E. Kunkler United States
Takahiro Shimizu Japan
Jane P. Hughes United Kingdom
Martin J. Stebbing Australia
Lakkyong Hwang South Korea
H.S. Sharma Sweden
Jiying Zhou China
Marina Rubio France
Haifeng Shu China
Bai‐Ren Wang relative to Chunmei Xia China Chunmei Xia's profile →
Citations per field
00.5×1.7×
Chunmei Xia · 1×
Citations per year

Countries citing papers authored by Bai‐Ren Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bai‐Ren Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006105
2 200377
3 200773
4 200765
5 200264
6 200759
7 200658
8 201049
9 201146
10 200643
11 200941
12 200438
13 200735
14 199234
15 200832
16 200427
17 200422
18 201121
19 200820
20 199019

About Bai‐Ren Wang

Bai‐Ren Wang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Endocrine and Autonomic Systems and Physiology, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Neuroscience of respiration and sleep (7 papers), Neuropeptides and Animal Physiology (6 papers), Receptor Mechanisms and Signaling (3 papers), Pain Mechanisms and Treatments (3 papers), Neuroendocrine regulation and behavior (2 papers) and Barrier Structure and Function Studies (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (228 citations), Neurology (194 citations), Biological Psychiatry (33 citations), Cellular and Molecular Neuroscience (213 citations) and Developmental Neuroscience (45 citations). Bai‐Ren Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Gong Ju, Zhen Xu, Fang Kuang, Xiaoli Duan, Xi‐Ying Jiao, Xiaogang Kang, Xiaoli Duan, Peter T. Ohara, Juan Fan and Lize Xiong. Their work appears in journals such as Respiratory Physiology & Neurobiology, European Journal of Neuroscience, Neurochemical Research, Brain Research and Life Sciences.

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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