Baian Chen

654 citations
29 papers · 518 · h-index 16

Impact in

Papers in

    • Alzheimer's disease research and treatments 13
    • Prion Diseases and Protein Misfolding 7
    • S100 Proteins and Annexins 2

Baian Chen

25 papers receiving 515 citations

Peers

Baian Chen
Comparison fields: 5 of 78
  • Neurology 99
  • Biological Psychiatry 24
  • Physiology 161
  • Pharmacology 40
  • Molecular Biology 267
Replace Jemma Gatliff with:
Jemma Gatliff United Kingdom
Nicolle Siegart United States
Juliet A. Moncaster United States
Xuemei Feng China
Makoto Shimozawa Japan
Pei‐Chuan Ho Taiwan
Samiksha Kukal India
Chihiro Tamaki Japan
Amer E. Alkhalifa United States
Mehmet Ozansoy Türkiye
Baian Chen relative to Jemma Gatliff United Kingdom Jemma Gatliff's profile →
Citations per field
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Jemma Gatliff · 1×
Citations per year

Countries citing papers authored by Baian Chen

Since Specialization
Citations

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

Fields of papers citing papers by Baian Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201092
2 201451
3 201632
4 201529
5 202128
6 201927
7 201627
8 201926
9 202125
10 202225
11 201422
12 201419
13 201519
14 202319
15 201618
16 201815
17 201511
18 20168
19 20238
20 20146

About Baian Chen

Baian Chen is a scholar working on Physiology, Molecular Biology, Neurology, Cellular and Molecular Neuroscience and Immunology, having authored 29 papers that have together received 518 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (13 papers), Prion Diseases and Protein Misfolding (7 papers), Neuroscience and Neuropharmacology Research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Liver physiology and pathology (3 papers), Neurological diseases and metabolism (3 papers), Trace Elements in Health (3 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Neurology (99 citations), Biological Psychiatry (24 citations), Physiology (161 citations), Pharmacology (40 citations) and Molecular Biology (267 citations). Baian Chen has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Claudio Soto, Rodrigo Morales, Marcelo A. Barria, Wen Xie, Jing Lü, Jiong Yan, Mengchao Cui, Jing Lü, Shubo Wang and Jiapei Dai. Their work appears in journals such as Journal of Medicinal Chemistry, Aging Cell, European Journal of Medicinal Chemistry, Journal of Molecular Neuroscience and Nature Communications.

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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