Minhui Chen

72 papers receiving 1.5k citations

Peers

Minhui Chen
Comparison fields: 5 of 138
  • Psychiatry and Mental health 471
  • Behavioral Neuroscience 81
  • Biological Psychiatry 41
  • Neurology 101
  • Developmental Neuroscience 33
Replace Yuxin Zhang with:
Yuxin Zhang China
Kentaro Maemura Japan
Yanfang Wang China
Juan Deng China
Hong Tu China
Micheli Mainardi Pillat Brazil
Thomas Weiser Germany
Fangfang Lai China
Fátima Theresinha Costa Rodrigues Guma Brazil
Minhui Chen relative to Yuxin Zhang China Yuxin Zhang's profile →
Citations per field
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Yuxin Zhang · 1×
Citations per year

Countries citing papers authored by Minhui Chen

Since Specialization
Citations

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

Fields of papers citing papers by Minhui Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019232
2 2016165
3 2018138
4 2018124
5 2021104
6 202069
7 201847
8 200645
9 202045
10 201842
11 201640
12 201931
13 202225
14 202124
15 201422
16 202322
17 202018
18 201218
19 202218
20 201517

About Minhui Chen

Minhui Chen is a scholar working on Molecular Biology, Psychiatry and Mental health, Genetics, Epidemiology and Plant Science, having authored 74 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer, Stress, Anesthesia, and Immune Response (10 papers), Advanced biosensing and bioanalysis techniques (6 papers), Genetic and phenotypic traits in livestock (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Smart Agriculture and AI (4 papers), Organoboron and organosilicon chemistry (3 papers), Stress Responses and Cortisol (3 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Psychiatry and Mental health (471 citations), Behavioral Neuroscience (81 citations), Biological Psychiatry (41 citations), Neurology (101 citations) and Developmental Neuroscience (33 citations). Minhui Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Elizabeth A. Repasky, Guanxi Qiao, Bonnie L. Hylander, Mark J. Bucsek, Hemn Mohammadpour, Cameron R. MacDonald, Ligen Lin, Xiaojia Chen, Mei Wang and Yitao Wang. Their work appears in journals such as The Journal of Immunology, Cancer Immunology Immunotherapy, Nature Communications, Computers and Electronics in Agriculture and The American Journal of Human Genetics.

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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