Sidi Chen
Impact in
- Aging top 0.5%
Papers in
-
- CRISPR and Genetic Engineering 31
- Single-cell and spatial transcriptomics 7
- Immunology 23
- Immune Cell Function and Interaction 8
- Co-authors
- Manyuan Long (11 shared papers)Phillip A. Sharp (9 shared papers)Ryan D. Chow (20 shared papers)Feng Zhang (7 shared papers)David Scott (3 shared papers)Matthew B. Dong (17 shared papers)Benjamin H. Krinsky (4 shared papers)Yong E. Zhang (4 shared papers)
- Journals
- Nature Biotechnology (6 papers)Nature Communications (3 papers)Trends in cancer (3 papers)Nature Biomedical Engineering (3 papers)Cell Reports (3 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Sidi Chen
95 papers receiving 6.9k citations
Sidi Chen's Hit Papers
Peers
Comparison fields: 5 of 163
- Aging 326
- Business and International Management 256
- Molecular Biology 5.0k
- Cancer Research 746
- Oncology 1.2k
Countries citing papers authored by Sidi Chen
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
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-authors
The 25 scholars most cited alongside Sidi Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genome-wide binding of the CRISPR endonuclease Cas9 in mammalian cells. Hit paper breakdown → | 2014 | 773 |
| 2 | Genome-wide CRISPR Screen in a Mouse Model of Tumor Growth and Metastasis Hit paper breakdown → | 2015 | 663 |
| 3 | CRISPR-mediated direct mutation of cancer genes in the mouse liver Hit paper breakdown → | 2014 | 620 |
| 4 | High-content CRISPR screening Hit paper breakdown → | 2022 | 305 |
| 5 | 2013 | 282 | |
| 6 | 2004 | 280 | |
| 7 | 2019 | 226 | |
| 8 | 2010 | 222 | |
| 9 | 2013 | 207 | |
| 10 | CAR-T and CAR-NK as cellular cancer immunotherapy for solid tumors Hit paper breakdown → | 2024 | 190 |
| 11 | 2017 | 182 | |
| 12 | High-content CRISPR screening Hit paper breakdown → | 2022 | 176 |
| 13 | 2012 | 164 | |
| 14 | 2019 | 153 | |
| 15 | 2022 | 151 | |
| 16 | 2020 | 138 | |
| 17 | 2020 | 123 | |
| 18 | 2019 | 114 | |
| 19 | 2019 | 93 | |
| 20 | 2013 | 91 |
About Sidi Chen
Sidi Chen is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Infectious Diseases, having authored 98 papers that have together received 7.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (31 papers), CAR-T cell therapy research (18 papers), SARS-CoV-2 and COVID-19 Research (12 papers), Immune Cell Function and Interaction (8 papers), Single-cell and spatial transcriptomics (7 papers), Virus-based gene therapy research (7 papers), Neurobiology and Insect Physiology Research (6 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Aging (326 citations), Business and International Management (256 citations), Molecular Biology (5.0k citations), Cancer Research (746 citations) and Oncology (1.2k citations). Sidi Chen has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Manyuan Long, Phillip A. Sharp, Ryan D. Chow, Feng Zhang, David Scott, Matthew B. Dong, Benjamin H. Krinsky, Yong E. Zhang, Guangchuan Wang and Jonathan J. Park. Their work appears in journals such as Nature Biotechnology, Nature Communications, Trends in cancer, Nature Biomedical Engineering and Cell Reports.
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.