Chaoran Chen

847 total citations
5 papers, 188 citations indexed

About

Chaoran Chen is a scholar working on Infectious Diseases, Molecular Biology and Ecology. According to data from OpenAlex, Chaoran Chen has authored 5 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 2 papers in Molecular Biology and 2 papers in Ecology. Recurrent topics in Chaoran Chen's work include SARS-CoV-2 detection and testing (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Bacteriophages and microbial interactions (2 papers). Chaoran Chen is often cited by papers focused on SARS-CoV-2 detection and testing (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Bacteriophages and microbial interactions (2 papers). Chaoran Chen collaborates with scholars based in Switzerland, France and Germany. Chaoran Chen's co-authors include Tanja Stadler, Sarah Nadeau, Cornelius Roemer, Ning Xie, Jana S. Huisman, Ivan Topolsky, Monica Alt, Niko Beerenwinkel, Claudia Bagutti and Christoph Ort and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and GigaScience.

In The Last Decade

Chaoran Chen

5 papers receiving 186 citations

Peers

Chaoran Chen
Alison Ciling United States
Akshay Kanakan India
Stephane Tosta Brazil
Hadrien Regue France
Mingru Liu United States
Li‐Jun Duan China
Eyal Zoler Israel
Marc R. Isabel Canada
Shan-Lu Liu United States
Fabian Zech Germany
Alison Ciling United States
Chaoran Chen
Citations per year, relative to Chaoran Chen Chaoran Chen (= 1×) peers Alison Ciling

Countries citing papers authored by Chaoran Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chaoran Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoran Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoran Chen. A scholar is included among the top collaborators of Chaoran 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 Chaoran Chen. Chaoran Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Nadeau, Sarah, Alexander J. Devaux, Claudia Bagutti, et al.. (2024). Influenza transmission dynamics quantified from RNA in wastewater in Switzerland. Swiss Medical Weekly. 154(1). 3503–3503. 13 indexed citations
2.
Fuhrmann, Lara, Kim Philipp Jablonski, Ivan Topolsky, et al.. (2024). V-pipe 3.0: a sustainable pipeline for within-sample viral genetic diversity estimation. GigaScience. 13. 7 indexed citations
3.
Chen, Chaoran, et al.. (2023). LAPIS is a fast web API for massive open virus sequencing data. BMC Bioinformatics. 24(1). 232–232. 4 indexed citations
4.
Chen, Chaoran, Sarah Nadeau, Ivan Topolsky, Niko Beerenwinkel, & Tanja Stadler. (2022). Advancing genomic epidemiology by addressing the bioinformatics bottleneck: Challenges, design principles, and a Swiss example. Epidemics. 39. 100576–100576. 3 indexed citations
5.
Chen, Chaoran, et al.. (2021). CoV-Spectrum: analysis of globally shared SARS-CoV-2 data to identify and characterize new variants. Bioinformatics. 38(6). 1735–1737. 161 indexed citations

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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2026