Baihui Chen

510 citations
32 papers · 377 · h-index 12

Impact in

Papers in

Baihui Chen

29 papers receiving 375 citations

Peers

Baihui Chen
Comparison fields: 5 of 96
  • Neurology 64
  • Developmental Neuroscience 28
  • Biochemistry 20
  • Biological Psychiatry 7
  • Complementary and alternative medicine 19
Replace Theofanis Vavilis with:
Theofanis Vavilis Greece
Xuegang He China
Tiago O. Almeida Portugal
Masaya Nakashima Japan
Yanet Karina Gutiérrez-Mercado Mexico
Biyao Wang China
Wenjie Xie China
Léo Anderson Meira Martins Brazil
Baihui Chen relative to Theofanis Vavilis Greece Theofanis Vavilis's profile →
Citations per field
00.5×1.5×1.8×
Theofanis Vavilis · 1×
Citations per year

Countries citing papers authored by Baihui Chen

Since Specialization
Citations

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

Fields of papers citing papers by Baihui Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201750
2 201748
3 202244
4 202023
5 201922
6 201622
7 202119
8 201816
9 201416
10 202015
11 201513
12 201511
13 201510
14 20139
15 20169
16 20249
17 20247
18 20245
19 20235
20 20234

About Baihui Chen

Baihui Chen is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Neurology, Developmental Neuroscience and Automotive Engineering, having authored 32 papers that have together received 377 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Cell death mechanisms and regulation (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Advanced Battery Materials and Technologies (3 papers), Advanced Battery Technologies Research (2 papers) and Technology Use by Older Adults (2 papers). The work is most often cited by research in Neurology (64 citations), Developmental Neuroscience (28 citations), Biochemistry (20 citations), Biological Psychiatry (7 citations) and Complementary and alternative medicine (19 citations). Baihui Chen has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Lina Lin, Liangrong Wang, Qiong Zhang, Miao Jiang, Xiayin Yao, Shungui Deng, Ming Wu, Jinghua Wu, Inhye Kim and Il‐Jun Kang. Their work appears in journals such as Manufacturing Letters, Chemical Engineering Journal, Cell Biology and Toxicology, Physical review. E and International Immunopharmacology.

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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