Sidi Chen

90 papers and 6.6k indexed citations i.

About

Sidi Chen is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Sidi Chen has authored 90 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 22 papers in Immunology and 19 papers in Oncology. Recurrent topics in Sidi Chen’s work include CRISPR and Genetic Engineering (30 papers), CAR-T cell therapy research (18 papers) and SARS-CoV-2 and COVID-19 Research (11 papers). Sidi Chen is often cited by papers focused on CRISPR and Genetic Engineering (30 papers), CAR-T cell therapy research (18 papers) and SARS-CoV-2 and COVID-19 Research (11 papers). Sidi Chen collaborates with scholars based in United States, China and Canada. Sidi Chen's co-authors include Manyuan Long, Phillip A. Sharp, Feng Zhang, Ryan D. Chow, Wen Xue, Hao Yin, Tyler Jacks, Daniel G. Anderson, David Scott and Matthew B. Dong and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Co-authorship network of co-authors of Sidi Chen i

Fields of papers citing papers by Sidi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sidi Chen

Since Specialization
Citations

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

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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2025