Huimin Guo

4.1k total citations · 2 hit papers
133 papers, 2.8k citations indexed

About

Huimin Guo is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Huimin Guo has authored 133 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 24 papers in Immunology and 18 papers in Infectious Diseases. Recurrent topics in Huimin Guo's work include SARS-CoV-2 and COVID-19 Research (13 papers), Polymer Foaming and Composites (8 papers) and Tea Polyphenols and Effects (8 papers). Huimin Guo is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (13 papers), Polymer Foaming and Composites (8 papers) and Tea Polyphenols and Effects (8 papers). Huimin Guo collaborates with scholars based in China, United States and United Kingdom. Huimin Guo's co-authors include Vipin Kumar, L.S. Davis, Ruiping Wang, Qionghai Dai, Xiaoping Zou, Chunjing Guo, Yanguo Su, Daquan Chen, Zhongwen Xie and William Robson Schwartz and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Huimin Guo

122 papers receiving 2.8k citations

Hit Papers

Covariance discriminative learning: A natural and efficie... 2012 2026 2016 2021 2012 2020 50 100 150 200 250

Peers

Huimin Guo
Comparison fields: 5 of 166
  • Molecular Biology 762
  • Computer Vision and Pattern Recognition 442
  • Polymers and Plastics 298
  • Biomedical Engineering 222
  • Plant Science 214
Replace Yiming Yang with:
Yiming Yang China
Jin Kyu Kim South Korea
Hongjie Zhang China
Xuehui Liu China
Liping Zhou China
Vikas Kumar India
Kai Zheng China
Chao‐Jung Chen Taiwan
Yiming Yang China View profile →
Citations per field, relative to Huimin Guo
Huimin Guo · 1×
Citations per year, relative to Huimin Guo
Huimin Guo · 1×

Countries citing papers authored by Huimin Guo

Since Specialization
Citations

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

Fields of papers citing papers by Huimin Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huimin Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Huimin Guo. A scholar is included among the top collaborators of Huimin Guo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Huimin Guo. Huimin Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 0
3 0
4 0
5 0
6 0
7 0
8 4
9 1
10 2
11 3
12 13
13 6
14 2
15 6
16 13
17 40
18 1
19 85
20 2

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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