Alex Clark
- Physiology top 5%
- Pain Mechanisms and Treatments 4
- Sensory Systems top 5%
- Neurology top 10%
- Mathematical Physics top 10%
- Mathematical Dynamics and Fractals 17
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- Geometric and Algebraic Topology 6
- Advanced Differential Equations and Dynamical Systems 4
- Advanced Topology and Set Theory 4
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- Ion channel regulation and function 4
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- Quantum chaos and dynamical systems 4
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- semigroups and automata theory 3
- Co-authors
- David BennettStephen G. WaxmanJianying HuangSulayman D. Dib‐HajjHenry LeeGeorgios BaskozosGreg A. WeirLucy McDermott
- Journals
- Brain (3 papers)Transactions of the American Mathematical Society (2 papers)Pain (2 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Alex Clark
34 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Cellular and Molecular Neuroscience 424
- Physiology 487
- Sensory Systems 66
- Neurology 136
- Mathematical Physics 63
Countries citing papers authored by Alex Clark
This map shows the geographic impact of Alex Clark'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 Alex Clark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Clark more than expected).
Fields of papers citing papers by Alex Clark
This network shows the impact of papers produced by Alex Clark. 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 Alex Clark. The network helps show where Alex Clark may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alex Clark, 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 | 2024 | 10 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 11 | |
| 4 | 2021 | 18 | |
| 5 | 2020 | 48 | |
| 6 | The Role of Voltage-Gated Sodium Channels in Pain Signalingbreakdown → | 2019 | 476 |
| 7 | 2019 | 136 | |
| 8 | 2018 | 52 | |
| 9 | 2018 | 3 | |
| 10 | 2018 | 35 | |
| 11 | 2016 | 1 | |
| 12 | 2016 | 1 | |
| 13 | 2014 | 6 | |
| 14 | Embedding solenoids in foliations | 2011 | 8 |
| 15 | 2004 | 2 | |
| 16 | 2002 | 3 | |
| 17 | 2002 | 1 | |
| 18 | 1999 | 5 | |
| 19 | 1992 | 36 | |
| 20 | 1991 | 22 |
About Alex Clark
Alex Clark is a scholar working on Mathematical Physics, Geometry and Topology, Cellular and Molecular Neuroscience, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (17 papers), Geometric and Algebraic Topology (6 papers), Pain Mechanisms and Treatments (4 papers), Advanced Differential Equations and Dynamical Systems (4 papers), Advanced Topology and Set Theory (4 papers), Ion channel regulation and function (4 papers), Quantum chaos and dynamical systems (4 papers) and semigroups and automata theory (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (424 citations), Physiology (487 citations), Sensory Systems (66 citations), Neurology (136 citations) and Mathematical Physics (63 citations). Alex Clark has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include David Bennett, Stephen G. Waxman, Jianying Huang, Sulayman D. Dib‐Hajj, Henry Lee, Georgios Baskozos, Greg A. Weir, Lucy McDermott, Joram Feldon and Hugh J. Willison. Their work appears in journals such as Brain, Transactions of the American Mathematical Society, Pain, Ergodic Theory and Dynamical Systems and Geometry & Topology.
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.