Jon Merlin
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
- Rehabilitation top 10%
- Exercise and Physiological Responses
Papers in
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- Receptor Mechanisms and Signaling 7
- Metabolism, Diabetes, and Cancer 2
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- Adipose Tissue and Metabolism 6
- Adenosine and Purinergic Signaling 1
- Co-authors
- Dana S. Hutchinson (14 shared papers)Bronwyn A. Evans (12 shared papers)Roger J. Summers (13 shared papers)Tore Bengtsson (8 shared papers)Masaaki Sato (8 shared papers)Nodi Dehvari (5 shared papers)Arthur Christopoulos (3 shared papers)Robert I. Csikasz (2 shared papers)
- Journals
- British Journal of Pharmacology (3 papers)Molecular Pharmacology (2 papers)Cellular Signalling (2 papers)Biochemical Pharmacology (1 paper)Pharmacology Research & Perspectives (1 paper)
- Partner nations
- AustraliaSwedenUnited States
In The Last Decade
Jon Merlin
17 papers receiving 464 citations
Peers
Comparison fields: 5 of 74
- Physiology 195
- Rehabilitation 45
- Cellular and Molecular Neuroscience 115
- Endocrine and Autonomic Systems 23
- Molecular Biology 221
Countries citing papers authored by Jon Merlin
This map shows the geographic impact of Jon Merlin'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 Jon Merlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Merlin more than expected).
Fields of papers citing papers by Jon Merlin
This network shows the impact of papers produced by Jon Merlin. 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 Jon Merlin. The network helps show where Jon Merlin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon Merlin, 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 | 2010 | 65 | |
| 2 | 2019 | 59 | |
| 3 | 2017 | 48 | |
| 4 | 2015 | 44 | |
| 5 | 2010 | 41 | |
| 6 | 2018 | 30 | |
| 7 | 2011 | 27 | |
| 8 | 2017 | 25 | |
| 9 | 2011 | 20 | |
| 10 | 2013 | 19 | |
| 11 | 2019 | 17 | |
| 12 | 2022 | 17 | |
| 13 | Quantification of functional selectivity at the human α1A- adrenoceptor (Molecular Pharmacology (2011) 79, (298-307)) | 2011 | 17 |
| 14 | 2022 | 15 | |
| 15 | 2020 | 15 | |
| 16 | 2021 | 6 | |
| 17 | 2018 | 3 |
About Jon Merlin
Jon Merlin is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Epidemiology and Rehabilitation, having authored 17 papers that have together received 468 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Adipose Tissue and Metabolism (6 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Neuropeptides and Animal Physiology (2 papers), Exercise and Physiological Responses (2 papers), Muscle metabolism and nutrition (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Physiology (195 citations), Rehabilitation (45 citations), Cellular and Molecular Neuroscience (115 citations), Endocrine and Autonomic Systems (23 citations) and Molecular Biology (221 citations). Jon Merlin has collaborated with scholars based in Australia, Sweden and United States. Frequent co-authors include Dana S. Hutchinson, Bronwyn A. Evans, Roger J. Summers, Tore Bengtsson, Masaaki Sato, Nodi Dehvari, Arthur Christopoulos, Robert I. Csikasz, Mohsen Pakzad and R. P. Fahey. Their work appears in journals such as British Journal of Pharmacology, Molecular Pharmacology, Cellular Signalling, Biochemical Pharmacology and Pharmacology Research & Perspectives.
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.