Jonathan C. Chen
Impact in
- Aging top 5%
Papers in ⓘ
-
- RNA and protein synthesis mechanisms 6
- Advanced biosensing and bioanalysis techniques 4
- Fungal and yeast genetics research 4
- CRISPR and Genetic Engineering 3
- RNA Interference and Gene Delivery 2
- RNA regulation and disease 2
- Co-authors
- Gregory A. Newby (2 shared papers)David R. Liu (5 shared papers)Alvin Hsu (2 shared papers)Peter J. Chen (1 shared paper)Simon P. Shen (1 shared paper)Peyton B. Randolph (1 shared paper)David Liu (1 shared paper)Meirui An (1 shared paper)
- Journals
- Nature Communications (2 papers)Molecular Biology of the Cell (1 paper)Nature Chemistry (1 paper)Science Translational Medicine (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Jonathan C. Chen
11 papers receiving 909 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Aging 39
- Business and International Management 33
- Molecular Biology 807
- Sensory Systems 41
- Genetics 207
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 | 463 |
| 2 | 2020 | 135 | |
| 3 | 2018 | 88 | |
| 4 | 2020 | 79 | |
| 5 | 2015 | 75 | |
| 6 | 2019 | 17 | |
| 7 | 2023 | 15 | |
| 8 | 2022 | 15 | |
| 9 | 2018 | 15 | |
| 10 | 2018 | 13 | |
| 11 | 2020 | 7 |
About Jonathan C. Chen
Jonathan C. Chen is a scholar working on Molecular Biology, Plant Science, Biomedical Engineering, Surgery and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 922 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), Advanced biosensing and bioanalysis techniques (4 papers), Fungal and yeast genetics research (4 papers), CRISPR and Genetic Engineering (3 papers), Biofuel production and bioconversion (2 papers), RNA Interference and Gene Delivery (2 papers), RNA regulation and disease (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Aging (39 citations), Business and International Management (33 citations), Molecular Biology (807 citations), Sensory Systems (41 citations) and Genetics (207 citations). Jonathan C. Chen has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Gregory A. Newby, David R. Liu, Alvin Hsu, Peter J. Chen, Simon P. Shen, Peyton B. Randolph, David Liu, Meirui An, Kelcee A. Everette and Andrew V. Anzalone. Their work appears in journals such as Nature Communications, Molecular Biology of the Cell, Nature Chemistry, Science Translational Medicine 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.