Jonathan Diep
Impact in
- Genetics top 10%
- Virus-based gene therapy research
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
Papers in
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- Viral Infectious Diseases and Gene Expression in Insects 3
- CRISPR and Genetic Engineering 3
- Cell death mechanisms and regulation 2
- Advanced Biosensing Techniques and Applications 2
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- Viral gastroenteritis research and epidemiology 2
- Co-authors
- Jan E. Carette (8 shared papers)Andreas S. Puschnik (2 shared papers)Claude M. Nagamine (2 shared papers)Jonathan Wosen (1 shared paper)Lucas T. Jae (1 shared paper)Michael S. Chapman (1 shared paper)Sureshnee Pillay (1 shared paper)Yoshihiro Ishikawa (1 shared paper)
- Journals
- Nature (2 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular Cell (1 paper)Cell chemical biology (1 paper)Nature Microbiology (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Jonathan Diep
15 papers receiving 893 citations
Jonathan Diep's Hit Papers
Peers
Comparison fields: 5 of 80
- Genetics 310
- Infectious Diseases 162
- Molecular Biology 567
- Immunology 149
- Animal Science and Zoology 60
Countries citing papers authored by Jonathan Diep
This map shows the geographic impact of Jonathan Diep'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 Diep with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Diep more than expected).
Fields of papers citing papers by Jonathan Diep
This network shows the impact of papers produced by Jonathan Diep. 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 Diep. The network helps show where Jonathan Diep may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Diep, 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 | An essential receptor for adeno-associated virus infection Hit paper breakdown → | 2016 | 367 |
| 2 | 2018 | 133 | |
| 3 | 2019 | 87 | |
| 4 | 2018 | 68 | |
| 5 | 2017 | 50 | |
| 6 | 2019 | 40 | |
| 7 | 2019 | 35 | |
| 8 | 2012 | 35 | |
| 9 | 2020 | 27 | |
| 10 | 2016 | 24 | |
| 11 | 2025 | 12 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2024 | 8 | |
| 15 | 2012 | 3 |
About Jonathan Diep
Jonathan Diep is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health and Genetics, having authored 15 papers that have together received 905 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (3 papers), CRISPR and Genetic Engineering (3 papers), Cell death mechanisms and regulation (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), interferon and immune responses (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Advanced Biosensing Techniques and Applications (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Genetics (310 citations), Infectious Diseases (162 citations), Molecular Biology (567 citations), Immunology (149 citations) and Animal Science and Zoology (60 citations). Jonathan Diep has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Jan E. Carette, Andreas S. Puschnik, Claude M. Nagamine, Jonathan Wosen, Lucas T. Jae, Michael S. Chapman, Sureshnee Pillay, Yoshihiro Ishikawa, Nancy Meyer and Omar Davulcu. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences, Molecular Cell, Cell chemical biology and Nature Microbiology.
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.