Jonathan C. Chen
Impact in
- Aging top 10%
Papers in
-
- RNA and protein synthesis mechanisms 6
- Fungal and yeast genetics research 4
- Advanced biosensing and bioanalysis techniques 4
- CRISPR and Genetic Engineering 3
- RNA regulation and disease 2
- RNA Interference and Gene Delivery 2
- Aging 1
- Co-authors
- Gregory A. Newby (2 shared papers)Alvin Hsu (2 shared papers)Kelcee A. Everette (1 shared paper)Peter J. Chen (1 shared paper)Meirui An (1 shared paper)Andrew V. Anzalone (1 shared paper)Simon P. Shen (1 shared paper)James W. Nelson (1 shared paper)
- Journals
- Nature Communications (2 papers)Cell (1 paper)Nature Chemical Biology (1 paper)Nature Chemistry (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Jonathan C. Chen
12 papers receiving 1.1k citations
Jonathan C. Chen's Hit Papers
Peers
Comparison fields: 5 of 80
- Aging 39
- Business and International Management 38
- Molecular Biology 883
- Sensory Systems 44
- Genetics 214
Countries citing papers authored by Jonathan C. Chen
This map shows the geographic impact of Jonathan C. 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 Jonathan C. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan C. Chen more than expected).
Fields of papers citing papers by Jonathan C. Chen
This network shows the impact of papers produced by Jonathan C. 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 Jonathan C. Chen. The network helps show where Jonathan C. Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan C. 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
| # | Work | ||
|---|---|---|---|
| 1 | Engineered pegRNAs improve prime editing efficiency Hit paper breakdown → | 2021 | 541 |
| 2 | 2020 | 149 | |
| 3 | 2018 | 91 | |
| 4 | 2020 | 89 | |
| 5 | 2015 | 82 | |
| 6 | A generative deep learning approach to de novo antibiotic design Hit paper breakdown → | 2025 | 39 |
| 7 | 2023 | 22 | |
| 8 | 2019 | 17 | |
| 9 | 2022 | 16 | |
| 10 | 2018 | 15 | |
| 11 | 2018 | 15 | |
| 12 | 2020 | 7 |
About Jonathan C. Chen
Jonathan C. Chen is a scholar working on Molecular Biology, Aging, Biophysics, Plant Science and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), Fungal and yeast genetics research (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), CRISPR and Genetic Engineering (3 papers), RNA regulation and disease (2 papers), Biofuel production and bioconversion (2 papers), RNA Interference and Gene Delivery (2 papers) and Fermentation and Sensory Analysis (1 paper). The work is most often cited by research in Aging (39 citations), Business and International Management (38 citations), Molecular Biology (883 citations), Sensory Systems (44 citations) and Genetics (214 citations). Jonathan C. Chen has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Gregory A. Newby, Alvin Hsu, Kelcee A. Everette, Peter J. Chen, Meirui An, Andrew V. Anzalone, Simon P. Shen, James W. Nelson, Peyton B. Randolph and David Liu. Their work appears in journals such as Nature Communications, Cell, Nature Chemical Biology, Nature Chemistry 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.