Guo‐Rong Chen

1.4k total citations
53 papers, 1.2k citations indexed

About

Guo‐Rong Chen is a scholar working on Molecular Biology, Organic Chemistry and Immunology. According to data from OpenAlex, Guo‐Rong Chen has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 16 papers in Organic Chemistry and 9 papers in Immunology. Recurrent topics in Guo‐Rong Chen's work include Carbohydrate Chemistry and Synthesis (13 papers), Advanced biosensing and bioanalysis techniques (12 papers) and Protein Tyrosine Phosphatases (10 papers). Guo‐Rong Chen is often cited by papers focused on Carbohydrate Chemistry and Synthesis (13 papers), Advanced biosensing and bioanalysis techniques (12 papers) and Protein Tyrosine Phosphatases (10 papers). Guo‐Rong Chen collaborates with scholars based in China, France and Taiwan. Guo‐Rong Chen's co-authors include Xiao‐Peng He, Jia Li, He Tian, Yi Zang, Juan Xie, Lei Cui, Dan Zhou, Yi‐Tao Long, Tony D. James and Ding‐Kun Ji and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and Advanced Functional Materials.

In The Last Decade

Guo‐Rong Chen

52 papers receiving 1.2k citations

Peers

Guo‐Rong Chen
Comparison fields: 5 of 109
  • Molecular Biology 662
  • Materials Chemistry 378
  • Organic Chemistry 295
  • Spectroscopy 282
  • Biomedical Engineering 204
Replace Ken‐ichi Setsukinai with:
Ken‐ichi Setsukinai Japan
Chung-Nga Ko Hong Kong
Yi Tan China
Thomas F. Brewer United States
Martha Sibrian‐Vazquez United States
Weimin Xuan China
Kaiyan Lou China
Michael R. DeFelippis United States
Kyoung Sunwoo South Korea
Ken‐ichi Setsukinai Japan View profile →
Citations per field, relative to Guo‐Rong Chen
Guo‐Rong Chen · 1×
Citations per year, relative to Guo‐Rong Chen
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Countries citing papers authored by Guo‐Rong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Guo‐Rong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guo‐Rong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Guo‐Rong Chen. A scholar is included among the top collaborators of Guo‐Rong Chen 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 Guo‐Rong Chen. Guo‐Rong Chen 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 1
2 2
3 2
4 4
5 1
6 9
7 51
8 10
9 1
10 43
11 60
12 24
13 25
14 16
15 19
16 13
17 26
18 26
19 31
20 16

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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