Guangmin Chen

497 citations
34 papers · 282 · h-index 11

Impact in

Papers in

Guangmin Chen

29 papers receiving 279 citations

Peers

Guangmin Chen
Comparison fields: 5 of 80
  • Modeling and Simulation 17
  • Agronomy and Crop Science 17
  • Pharmacology 26
  • Pathology and Forensic Medicine 26
  • Cancer Research 21
Replace Yang Xue with:
Yang Xue China
LalitK Meher India
SivaK Kota India
SunilK Kota India
Jinming Fu China
Hai Chen China
José Alfredo Sierra-Ramírez Mexico
Guangcan Yan China
Franziska Bayer Germany
Guangmin Chen relative to Yang Xue China Yang Xue's profile →
Citations per field
00.5×3.4×
Yang Xue · 1×
Citations per year

Countries citing papers authored by Guangmin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Guangmin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201546
2 202038
3 202217
4 201914
5 202314
6 202313
7 202312
8 202512
9 202411
10 202210
11 202210
12 202510
13 20179
14 20248
15 20227
16 20247
17
[A cohort study on the characteristics of the recurrent epidemics on hand, foot and mouth disease, in Fujian province].
20146
18 20245
19 20245
20 20235

About Guangmin Chen

Guangmin Chen is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine, Molecular Biology and Epidemiology, having authored 34 papers that have together received 282 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (7 papers), Ferroptosis and cancer prognosis (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers), Influenza Virus Research Studies (3 papers), Zoonotic diseases and public health (2 papers), Agronomic Practices and Intercropping Systems (2 papers), Extracellular vesicles in disease (2 papers) and Agroforestry and silvopastoral systems (2 papers). The work is most often cited by research in Modeling and Simulation (17 citations), Agronomy and Crop Science (17 citations), Pharmacology (26 citations), Pathology and Forensic Medicine (26 citations) and Cancer Research (21 citations). Guangmin Chen has collaborated with scholars based in China, United Kingdom and Taiwan. Frequent co-authors include Yingjie Zhang, Shujie Tang, Zhixi Li, Enyou Li, Yu Zhang, Yang Lv, Lei Guo, Jianming Ou, Kaizhi Chen and Xiaoxin Zhou. Their work appears in journals such as BMC Infectious Diseases, Journal of Ethnopharmacology, Phytomedicine, Infectious Disease Modelling and Frontiers in Pharmacology.

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.

Explore authors with similar magnitude of impact