Gareth Waldron
- Molecular Biology
- Physiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Cellular and Molecular Neuroscience top 10%
- Computational Theory and Mathematics top 2%
- Co-authors
- Wolfgang JarolimekAndrew J. BrownArun SridharJoanne BowesSteven WhitebreadJacques HamonC J GarlandChris R. Triggle
- Topics
- Cardiac electrophysiology and arrhythmias (9 papers)Ion channel regulation and function (8 papers)Nitric Oxide and Endothelin Effects (6 papers)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Gareth Waldron
21 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 602
- Physiology 309
- Cardiology and Cardiovascular Medicine 240
- Cellular and Molecular Neuroscience 232
- Computational Theory and Mathematics 230
Countries citing papers authored by Gareth Waldron
This map shows the geographic impact of Gareth Waldron'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 Gareth Waldron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gareth Waldron more than expected).
Fields of papers citing papers by Gareth Waldron
This network shows the impact of papers produced by Gareth Waldron. 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 Gareth Waldron. The network helps show where Gareth Waldron may publish in the future.
Co-authorship network of co-authors of Gareth Waldron
This figure shows the co-authorship network connecting the top 25 collaborators of Gareth Waldron. A scholar is included among the top collaborators of Gareth Waldron based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gareth Waldron. Gareth Waldron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 58 | |
| 2 | 22 | |
| 3 | Reducing safety-related drug attrition: the use of in vitro pharmacological profilingbreakdown → | 485 |
| 4 | 1 | |
| 5 | 52 | |
| 6 | 150 | |
| 7 | Prediction Of Ophthalmic Effects In Man By Screening Drugs For The Optokinetic And Optomotor Responses In Zebrafish | 2 |
| 8 | 95 | |
| 9 | 38 | |
| 10 | 14 | |
| 11 | 9 | |
| 12 | 114 | |
| 13 | 59 | |
| 14 | 8 | |
| 15 | 110 | |
| 16 | 3 | |
| 17 | Endothelium-dependent hyperpolarization of vascular smooth muscle: role for a non-nitric oxide synthase product. | 13 |
| 18 | 68 | |
| 19 | 21 | |
| 20 | 17 |
About Gareth Waldron
Gareth Waldron is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Biophysics, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (9 papers), Ion channel regulation and function (8 papers) and Nitric Oxide and Endothelin Effects (6 papers). The work is most often cited by research in Biochemistry (118 citations), Computational Theory and Mathematics (230 citations) and Cellular and Molecular Neuroscience (232 citations). Gareth Waldron has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Wolfgang Jarolimek, Andrew J. Brown, Arun Sridhar, Joanne Bowes, Steven Whitebread, Jacques Hamon, C J Garland, Chris R. Triggle, Christine A. Williams and Hong Ding. Their work appears in journals such as Journal of Biological Chemistry, Nature Reviews Drug Discovery and Journal of Medicinal Chemistry.
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.