Jonathan S. Mason

2.5k citations
29 papers · 1.9k indexed · h-index 21

Impact in

Papers in

Jonathan S. Mason

29 papers receiving 1.8k citations

Peers

Jonathan S. Mason
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
Replace Andrea Bortolato with:
Andrea Bortolato Italy
David M. Thal Australia
K.A. Bennett United Kingdom
Hugo Gutiérrez‐de‐Terán Sweden
Céline Valant Australia
A.S. Dore United Kingdom
Mark T. Griffith United States
Leigh A. Stoddart United Kingdom
Benjamin G. Tehan Australia
Alisa Glukhova United States
Jonathan S. Mason relative to Andrea Bortolato Italy Andrea Bortolato's profile →
Citations per field
00.5×1.5×2.1×
Andrea Bortolato · 1×
Citations per year

Countries citing papers authored by Jonathan S. Mason

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jonathan S. Mason Line = papers co-authored together Jonathan S. Mason links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 201936
3 201931
4 201869
5 20188
6 201714
7 201719
8 20175
9 2016196
10 201624
11 201599
12 201549
13 2014159
14 2012131
15 2012264
16 2012111
17 200127
18 200020
19 199829
20 19815

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.

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