Sidi Chen

11.7k total citations · 6 hit papers
96 papers, 5.9k citations indexed

About

Sidi Chen is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Sidi Chen has authored 96 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 24 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 (12 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 (12 papers). Sidi Chen collaborates with scholars based in United States, China and Japan. Sidi Chen's co-authors include Manyuan Long, Ryan D. Chow, Phillip A. Sharp, Feng Zhang, Matthew B. Dong, Benjamin H. Krinsky, Yong E. Zhang, Guangchuan Wang, Jonathan J. Park and Lupeng Ye and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Sidi Chen

92 papers receiving 5.8k citations

Hit Papers

Genome-wide CRISPR Screen in a Mouse Model of Tumor Growt... 2014 2026 2018 2022 2015 2014 2022 2022 2024 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sidi Chen United States 36 4.3k 1.2k 1.1k 809 750 96 5.9k
Christian Beisel Switzerland 37 4.3k 1.0× 1.8k 1.5× 807 0.8× 1.3k 1.6× 1.0k 1.4× 79 7.2k
Ella Hartenian United States 14 5.0k 1.2× 581 0.5× 738 0.7× 424 0.5× 664 0.9× 19 6.0k
Mamie Z. Li United States 28 5.8k 1.4× 839 0.7× 966 0.9× 1.8k 2.2× 908 1.2× 37 7.8k
Guy Cavet United States 22 5.6k 1.3× 1.2k 1.0× 1.4k 1.3× 1.3k 1.6× 808 1.1× 32 7.3k
Jeffrey J. Delrow United States 41 4.5k 1.0× 922 0.8× 723 0.7× 475 0.6× 966 1.3× 77 6.1k
Brian B. Tuch United States 19 4.5k 1.0× 814 0.7× 461 0.4× 873 1.1× 493 0.7× 36 6.3k
Dmitry Guschin United States 28 4.6k 1.1× 1.7k 1.4× 1.1k 1.1× 393 0.5× 1.3k 1.7× 40 6.7k
William S. Dynan United States 48 7.2k 1.7× 1.7k 1.5× 1.6k 1.5× 829 1.0× 1.4k 1.9× 122 10.1k
David Levens United States 57 8.7k 2.0× 1.3k 1.1× 755 0.7× 1.1k 1.4× 962 1.3× 129 10.7k
Jean‐Marc Egly France 57 9.1k 2.1× 1.5k 1.3× 1.8k 1.7× 1.1k 1.4× 392 0.5× 129 10.3k

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).

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.

Co-authorship network of co-authors of Sidi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Sidi Chen. A scholar is included among the top collaborators of Sidi 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 Sidi Chen. Sidi 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
2.
Fang, Zhenhao, Valter Silva Monteiro, L. Romero, et al.. (2025). A modular vaccine platform for optimized lipid nanoparticle mRNA immunogenicity. Nature Biomedical Engineering. 10(3). 501–516. 1 indexed citations
3.
Di, Jiangli, et al.. (2024). Fertility Intentions Among Reproductive-Age Women — Three Provinces, China, 2023. China CDC Weekly. 6(31). 778–785. 2 indexed citations
4.
Sferruzza, Giacomo, et al.. (2024). CAR-T and CAR-NK as cellular cancer immunotherapy for solid tumors. Cellular and Molecular Immunology. 21(10). 1089–1108. 145 indexed citations breakdown →
5.
Zhou, Liqun, Luojia Yang, Yanzhi Feng, & Sidi Chen. (2023). Pooled screening with next-generation gene editing tools. Current Opinion in Biomedical Engineering. 28. 100479–100479. 1 indexed citations
6.
Renauer, Paul, Jonathan J. Park, Meizhu Bai, et al.. (2023). Immunogenetic Metabolomics Reveals Key Enzymes That Modulate CAR T-cell Metabolism and Function. Cancer Immunology Research. 11(8). 1068–1084. 19 indexed citations
7.
Chow, Ryan D., Meizhu Bai, Matthew B. Dong, et al.. (2023). CTLA-4 tail fusion enhances CAR-T antitumor immunity. Nature Immunology. 24(9). 1499–1510. 32 indexed citations
8.
Zhang, Li, Jonathan J. Park, Matthew B. Dong, et al.. (2023). Human Gene Age Dating Reveals an Early and Rapid Evolutionary Construction of the Adaptive Immune System. Genome Biology and Evolution. 15(5). 1 indexed citations
9.
Wasson, Lauren K., et al.. (2023). The H2Bub1-deposition complex is required for human and mouse cardiogenesis. Development. 150(23). 1 indexed citations
10.
Chen, Sidi, et al.. (2023). Managerial ability, compensation incentives, and corporate performance. Frontiers in Environmental Science. 11. 2 indexed citations
11.
Liu, Hui, et al.. (2023). Developmental Features, Influencing Factors, and Formation Mechanism of Underground Mining–Induced Ground Fissure Disasters in China: A Review. International Journal of Environmental Research and Public Health. 20(4). 3511–3511. 10 indexed citations
12.
Park, Jonathan J., et al.. (2023). Machine learning identifies T cell receptor repertoire signatures associated with COVID-19 severity. Communications Biology. 6(1). 76–76. 19 indexed citations
13.
Chen, Xin, Sidi Chen, Zhenghong Zhu, et al.. (2023). Identifying the critical windows and joint effects of temperature and PM2.5 exposure on small for gestational age. Environment International. 173. 107832–107832. 13 indexed citations
14.
Xia, Shengqian, Nicholas W. VanKuren, Chunyan Chen, et al.. (2021). Genomic analyses of new genes and their phenotypic effects reveal rapid evolution of essential functions in Drosophila development. PLoS Genetics. 17(7). e1009654–e1009654. 22 indexed citations
15.
Wang, Guangchuan, Ryan D. Chow, Lvyun Zhu, et al.. (2020). CRISPR-GEMM Pooled Mutagenic Screening Identifies KMT2D as a Major Modulator of Immune Checkpoint Blockade. Cancer Discovery. 10(12). 1912–1933. 87 indexed citations
16.
Craig, Morgan, Kamran Kaveh, Alec N. Woosley, et al.. (2019). Cooperative adaptation to therapy (CAT) confers resistance in heterogeneous non-small cell lung cancer. PLoS Computational Biology. 15(8). e1007278–e1007278. 21 indexed citations
17.
Wang, Guangchuan, Ryan D. Chow, Lupeng Ye, et al.. (2018). Mapping a functional cancer genome atlas of tumor suppressors in mouse liver using AAV-CRISPR–mediated direct in vivo screening. Science Advances. 4(2). eaao5508–eaao5508. 72 indexed citations
18.
Xue, Wen, Sidi Chen, Hao Yin, et al.. (2014). CRISPR-mediated direct mutation of cancer genes in the mouse liver. RePEc: Research Papers in Economics. 1 indexed citations
19.
Chen, Sidi, Xiaochun Ni, Benjamin H. Krinsky, et al.. (2012). Reshaping of global gene expression networks and sex‐biased gene expression by integration of a young gene. The EMBO Journal. 31(12). 2798–2809. 38 indexed citations
20.
Dai, Hongzheng, Ying Chen, Sidi Chen, et al.. (2008). The evolution of courtship behaviors through the origination of a new gene in Drosophila. Proceedings of the National Academy of Sciences. 105(21). 7478–7483. 60 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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