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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- Receptor Mechanisms and Signaling 19
- Chemical Synthesis and Analysis 9
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- Neuropeptides and Animal Physiology 12
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Fiona H. Marshall (12 shared papers)Miles Congreve (12 shared papers)Andrea Bortolato (9 shared papers)Benjamin G. Tehan (6 shared papers)Malcolm Weir (4 shared papers)A.S. Dore (5 shared papers)Francesca Deflorian (8 shared papers)Stephen P. Andrews (4 shared papers)
- Journals
- Journal of Medicinal Chemistry (6 papers)Journal of Chemical Information and Modeling (4 papers)Cancer Research (2 papers)Drug Discovery Today (2 papers)Nature Communications (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 95
- Physiology 281
- Cellular and Molecular Neuroscience 740
- Computational Theory and Mathematics 472
- Molecular Biology 1.6k
- Radiology, Nuclear Medicine and Imaging 323
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
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 264 | |
| 2 | 2016 | 200 | |
| 3 | 2011 | 169 | |
| 4 | 2014 | 160 | |
| 5 | 2012 | 131 | |
| 6 | 2012 | 111 | |
| 7 | 2015 | 99 | |
| 8 | 2013 | 97 | |
| 9 | 2011 | 95 | |
| 10 | 2014 | 88 | |
| 11 | 2013 | 72 | |
| 12 | 2018 | 70 | |
| 13 | 2020 | 54 | |
| 14 | 2015 | 50 | |
| 15 | 2019 | 38 | |
| 16 | 2019 | 31 | |
| 17 | 1998 | 29 | |
| 18 | 2001 | 27 | |
| 19 | 2020 | 24 | |
| 20 | 2016 | 24 |
About Jonathan S. Mason
Jonathan S. Mason is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Organic Chemistry and Computational Theory and Mathematics, 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), Monoclonal and Polyclonal Antibodies Research (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Physiology (281 citations), Cellular and Molecular Neuroscience (740 citations), Computational Theory and Mathematics (472 citations), Molecular Biology (1.6k citations) and Radiology, Nuclear Medicine and Imaging (323 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 James C. Errey. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, Cancer Research, Drug Discovery Today and Nature Communications.
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.