Jonathan Green
Impact in
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- Neurobiology and Insect Physiology Research
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
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- Molecular Biology Techniques and Applications 2
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- Quantum Information and Cryptography 4
- Co-authors
- Gaby Maimon (4 shared papers)Atsuko Adachi (2 shared papers)Pablo S. Magani (1 shared paper)Kunal Shah (1 shared paper)Vikram Vijayan (1 shared paper)Anthony Underwood (2 shared papers)Philip Ashton (1 shared paper)Matthew J. Ellington (1 shared paper)
- Journals
- Nature (2 papers)Journal of Medical Virology (2 papers)Journal of Clinical Microbiology (1 paper)Current Biology (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Jonathan Green
15 papers receiving 630 citations
Peers
Comparison fields: 5 of 82
- Cellular and Molecular Neuroscience 306
- Molecular Medicine 63
- Endocrinology 50
- Endocrine and Autonomic Systems 48
- Cognitive Neuroscience 132
Countries citing papers authored by Jonathan Green
This map shows the geographic impact of Jonathan Green'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 Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Green more than expected).
Fields of papers citing papers by Jonathan Green
This network shows the impact of papers produced by Jonathan Green. 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 Green. The network helps show where Jonathan Green may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Green, 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 | 2017 | 211 | |
| 2 | 2016 | 106 | |
| 3 | 2019 | 76 | |
| 4 | 2019 | 62 | |
| 5 | 2015 | 45 | |
| 6 | 2018 | 40 | |
| 7 | 2018 | 21 | |
| 8 | 1989 | 19 | |
| 9 | 2023 | 18 | |
| 10 | 1991 | 14 | |
| 11 | 2020 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2024 | 4 | |
| 14 | 2009 | 4 | |
| 15 | 2023 | 3 |
About Jonathan Green
Jonathan Green is a scholar working on Molecular Biology, Artificial Intelligence, Cellular and Molecular Neuroscience, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience, having authored 15 papers that have together received 637 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (4 papers), Neurobiology and Insect Physiology Research (3 papers), Quantum Mechanics and Applications (2 papers), Orbital Angular Momentum in Optics (2 papers), Molecular Biology Techniques and Applications (2 papers), Plant and Biological Electrophysiology Studies (2 papers), Memory and Neural Mechanisms (2 papers) and Optical Wireless Communication Technologies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (306 citations), Molecular Medicine (63 citations), Endocrinology (50 citations), Endocrine and Autonomic Systems (48 citations) and Cognitive Neuroscience (132 citations). Jonathan Green has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Gaby Maimon, Atsuko Adachi, Pablo S. Magani, Kunal Shah, Vikram Vijayan, Anthony Underwood, Philip Ashton, Matthew J. Ellington, Rediat Tewolde and Craig Swift. Their work appears in journals such as Nature, Journal of Medical Virology, Journal of Clinical Microbiology, Current Biology and Nature Neuroscience.
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.