Shi Chen

13.0k total citations · 1 hit paper
215 papers, 7.3k citations indexed

About

Shi Chen is a scholar working on Molecular Biology, Biomedical Engineering and Epidemiology. According to data from OpenAlex, Shi Chen has authored 215 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Molecular Biology, 30 papers in Biomedical Engineering and 24 papers in Epidemiology. Recurrent topics in Shi Chen's work include Bacteriophages and microbial interactions (13 papers), Autophagy in Disease and Therapy (11 papers) and CRISPR and Genetic Engineering (10 papers). Shi Chen is often cited by papers focused on Bacteriophages and microbial interactions (13 papers), Autophagy in Disease and Therapy (11 papers) and CRISPR and Genetic Engineering (10 papers). Shi Chen collaborates with scholars based in China, United States and South Korea. Shi Chen's co-authors include Yu Zhang, Shijun Li, Sifei Han, Zhiwen Fu, Lianrong Wang, Zixin Deng, Hao Zhou, Shunying Hu, Wang Le and Yundai Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Shi Chen

203 papers receiving 7.2k citations

Hit Papers

Antibody drug conjugate: the “biological missile” for tar... 2022 2026 2023 2024 2022 250 500 750

Peers

Shi Chen
Comparison fields: 5 of 167
  • Molecular Biology 3.6k
  • Oncology 988
  • Epidemiology 951
  • Biomedical Engineering 609
  • Neurology 592
Replace Wei Li with:
Wei Li China
Fang Wang China
Si Zhang China
Feng Yan China
Xiaodong Wang China
Guoqiang Chen China
Jun Zhang China
Xiaolei Zhang China
Jing Zhang China
Kirk C. Hansen United States
Wei Li China View profile →
Citations per field, relative to Shi Chen
Shi Chen · 1×
Citations per year, relative to Shi Chen
Shi Chen · 1×

Countries citing papers authored by Shi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shi Chen. A scholar is included among the top collaborators of Shi 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 Shi Chen. Shi 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 4
3 1
4 0
5 0
6 4
7 24
8 35
9 55
10 10
11 10
12 28
13 1
14 69
15 59
16 32
17 0
18
The identification on race of Fusarium oxysporum f. sp. cubense based on multi-gene sequence analysis.
3
19 38
20 19

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

Rankless by CCL
2026