Jonathan S. Mason
Impact in
- Physiology top 1%
- Adenosine and Purinergic Signaling
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- Neuropeptides and Animal Physiology
Papers in
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- Adenosine and Purinergic Signaling 9
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- Neuropeptides and Animal Physiology 12
- Co-authors
- Fiona H. MarshallMiles CongreveAndrea BortolatoBenjamin G. TehanMalcolm WeirA.S. DoreFrancesca DeflorianStephen P. Andrews
- Journals
- Journal of Medicinal Chemistry (6 papers)Journal of Chemical Information and Modeling (4 papers)Drug Discovery Today (2 papers)Cancer Research (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesUnited KingdomHungary
In The Last Decade
Jonathan S. Mason
29 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 94
- Physiology 283
- Cellular and Molecular Neuroscience 754
- Computational Theory and Mathematics 494
- Molecular Biology 1.7k
- Radiology, Nuclear Medicine and Imaging 328
Countries citing papers authored by Jonathan S. Mason
This map shows the geographic impact of Jonathan S. Mason'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 S. Mason with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan S. Mason more than expected).
Fields of papers citing papers by Jonathan S. Mason
This network shows the impact of papers produced by Jonathan S. Mason. 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 S. Mason. The network helps show where Jonathan S. Mason may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan S. Mason, 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 | 2025 | 2 | |
| 2 | 2019 | 36 | |
| 3 | 2019 | 31 | |
| 4 | 2018 | 69 | |
| 5 | 2018 | 8 | |
| 6 | 2017 | 14 | |
| 7 | 2017 | 19 | |
| 8 | 2017 | 5 | |
| 9 | 2016 | 196 | |
| 10 | 2016 | 24 | |
| 11 | 2015 | 99 | |
| 12 | 2015 | 49 | |
| 13 | 2014 | 159 | |
| 14 | 2012 | 131 | |
| 15 | 2012 | 264 | |
| 16 | 2012 | 111 | |
| 17 | 2001 | 27 | |
| 18 | 2000 | 20 | |
| 19 | 1998 | 29 | |
| 20 | 1981 | 5 |
About Jonathan S. Mason
Jonathan S. Mason is a scholar working on Physiology, Cellular and Molecular Neuroscience, Computational Theory and Mathematics, Molecular Biology and Organic Chemistry, having authored 29 papers that have together received 1.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (19 papers), Neuropeptides and Animal Physiology (12 papers), Adenosine and Purinergic Signaling (9 papers), Chemical Synthesis and Analysis (9 papers), Computational Drug Discovery Methods (6 papers), Click Chemistry and Applications (4 papers), Oxidative Organic Chemistry Reactions (2 papers) and Synthetic Organic Chemistry Methods (2 papers). The work is most often cited by research in Physiology (283 citations), Cellular and Molecular Neuroscience (754 citations), Computational Theory and Mathematics (494 citations), Molecular Biology (1.7k citations) and Radiology, Nuclear Medicine and Imaging (328 citations). Jonathan S. Mason has collaborated with scholars based in United States, United Kingdom and Hungary. Frequent co-authors include Fiona H. Marshall, Miles Congreve, Andrea Bortolato, Benjamin G. Tehan, Malcolm Weir, A.S. Dore, Francesca Deflorian, Stephen P. Andrews, Andrei Zhukov and Roger Cooke. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, Drug Discovery Today, Cancer Research and Scientific 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.