Gary J. Stephens

6.6k total citations
83 papers, 3.8k citations indexed

About

Gary J. Stephens is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology. According to data from OpenAlex, Gary J. Stephens has authored 83 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Cellular and Molecular Neuroscience, 52 papers in Molecular Biology and 20 papers in Pharmacology. Recurrent topics in Gary J. Stephens's work include Neuroscience and Neuropharmacology Research (47 papers), Ion channel regulation and function (37 papers) and Cannabis and Cannabinoid Research (18 papers). Gary J. Stephens is often cited by papers focused on Neuroscience and Neuropharmacology Research (47 papers), Ion channel regulation and function (37 papers) and Cannabis and Cannabinoid Research (18 papers). Gary J. Stephens collaborates with scholars based in United Kingdom, United States and Japan. Gary J. Stephens's co-authors include Benjamin J. Whalley, Claire Williams, Andrew J. Hill, Annette Dolphin, Brian D. Robertson, Nicholas A. Jones, Karen M. Page, Nicholas S. Berrow, Imogen Smith and Sumiko Mochida and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Gary J. Stephens

82 papers receiving 3.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gary J. Stephens United Kingdom 35 2.1k 1.7k 1.4k 453 366 83 3.8k
Henrik H. Hansen Denmark 39 1.7k 0.8× 1.8k 1.0× 1.1k 0.8× 351 0.8× 188 0.5× 108 4.7k
Laura Facci Italy 46 2.1k 1.0× 2.7k 1.6× 1.3k 1.0× 357 0.8× 209 0.6× 119 6.8k
Kanato Yamagata Japan 36 2.4k 1.2× 2.9k 1.7× 1.3k 0.9× 511 1.1× 77 0.2× 73 6.3k
Jacob Barg Israel 32 2.7k 1.3× 1.7k 1.0× 3.1k 2.2× 731 1.6× 439 1.2× 73 5.4k
Manfred Göthert Germany 39 3.5k 1.7× 3.3k 1.9× 1.1k 0.8× 541 1.2× 97 0.3× 192 6.3k
Britt Mellström Spain 43 1.9k 0.9× 2.6k 1.5× 445 0.3× 154 0.3× 113 0.3× 94 5.0k
Eberhard Schlicker Germany 46 3.6k 1.8× 3.4k 2.0× 2.5k 1.8× 793 1.8× 207 0.6× 195 7.5k
Heinz Bönisch Germany 36 1.8k 0.9× 1.8k 1.0× 521 0.4× 188 0.4× 65 0.2× 114 4.0k
H. Kilbinger Germany 36 2.3k 1.1× 2.4k 1.4× 482 0.3× 198 0.4× 171 0.5× 98 4.5k
Frederick J. Ehlert United States 43 3.1k 1.5× 3.9k 2.3× 534 0.4× 222 0.5× 123 0.3× 127 5.5k

Countries citing papers authored by Gary J. Stephens

Since Specialization
Citations

This map shows the geographic impact of Gary J. Stephens'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 Gary J. Stephens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary J. Stephens more than expected).

Fields of papers citing papers by Gary J. Stephens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary J. Stephens. 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 Gary J. Stephens. The network helps show where Gary J. Stephens may publish in the future.

Co-authorship network of co-authors of Gary J. Stephens

This figure shows the co-authorship network connecting the top 25 collaborators of Gary J. Stephens. A scholar is included among the top collaborators of Gary J. Stephens 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 Gary J. Stephens. Gary J. Stephens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Izzo, Angelo A., Andreas Papapetropoulos, S P H Alexander, et al.. (2024). Natural product pharmacology: the British Journal of Pharmacology perspective. British Journal of Pharmacology. 181(19). 3547–3555. 34 indexed citations
2.
Papapetropoulos, Andreas, Stavros Topouzis, S P H Alexander, et al.. (2024). Novel drugs approved by the EMA, the FDA, and the MHRA in 2023: A year in review. British Journal of Pharmacology. 181(11). 1553–1575. 20 indexed citations
3.
4.
Maiarù, Maria, et al.. (2024). Psilocybin as a novel treatment for chronic pain. British Journal of Pharmacology. 2 indexed citations
5.
Eibl, Clarissa, et al.. (2022). α2δ-4 and Cachd1 Proteins Are Regulators of Presynaptic Functions. International Journal of Molecular Sciences. 23(17). 9885–9885. 5 indexed citations
6.
Banazadeh, Mohammad, et al.. (2022). Mechanisms of COVID-19-induced cerebellitis. Current Medical Research and Opinion. 38(12). 2109–2118. 4 indexed citations
7.
Mochida, Sumiko, et al.. (2020). CaV2.2 (N-type) voltage-gated calcium channels are activated by SUMOylation pathways. Cell Calcium. 93. 102326–102326. 8 indexed citations
8.
Cottrell, Graeme S., Camille Soubrane, Michael Rigby, et al.. (2018). CACHD1 is an α2δ-Like Protein That Modulates CaV3 Voltage-Gated Calcium Channel Activity. Journal of Neuroscience. 38(43). 9186–9201. 30 indexed citations
9.
Hill, Andrew J., Nicholas A. Jones, Imogen Smith, et al.. (2014). Voltage-gated sodium (NaV) channel blockade by plant cannabinoids does not confer anticonvulsant effects per se. Neuroscience Letters. 566. 269–274. 73 indexed citations
10.
Ronzitti, Giuseppe, Gabriele Bucci, Marco Emanuele, et al.. (2014). Exogenous  -Synuclein Decreases Raft Partitioning of Cav2.2 Channels Inducing Dopamine Release. Journal of Neuroscience. 34(32). 10603–10615. 52 indexed citations
11.
Hill, Andrew J., Nicholas A. Jones, Imogen Smith, et al.. (2010). Δ9‐Tetrahydrocannabivarin suppresses in vitro epileptiform and in vivo seizure activity in adult rats. Epilepsia. 51(8). 1522–1532. 90 indexed citations
12.
Long, Philip, Audrey Mercer, Rahima Begum, et al.. (2009). Nerve Terminal GABAA Receptors Activate Ca2+/Calmodulin-dependent Signaling to Inhibit Voltage-gated Ca2+ Influx and Glutamate Release. Journal of Biological Chemistry. 284(13). 8726–8737. 34 indexed citations
13.
Yang, Li & Gary J. Stephens. (2009). Effects of neuropathy on high-voltage-activated Ca2+ current in sensory neurones. Cell Calcium. 46(4). 248–256. 19 indexed citations
14.
Matthews, Elizabeth, Lucy Bee, Gary J. Stephens, & Anthony H. Dickenson. (2007). The Cav2.3 calcium channel antagonist SNX‐482 reduces dorsal horn neuronal responses in a rat model of chronic neuropathic pain. European Journal of Neuroscience. 25(12). 3561–3569. 64 indexed citations
15.
Robertson, Brian D., et al.. (2002). Presynaptic internal Ca2+ stores contribute to inhibitory neurotransmitter release onto mouse cerebellar Purkinje cells. British Journal of Pharmacology. 137(4). 529–537. 58 indexed citations
16.
Dolphin, Annette, Karen M. Page, Nicholas S. Berrow, Gary J. Stephens, & Carles Cantı́. (1999). Dissection of the Calcium Channel Domains Responsible for Modulation of Neuronal Voltage‐Dependent Calcium Channels by G Proteins. Annals of the New York Academy of Sciences. 868(1). 160–174. 9 indexed citations
17.
Stephens, Gary J., Nicola Brice, Nicholas S. Berrow, & Annette Dolphin. (1998). Facilitation of rabbit α1B calcium channels: involvement of endogenous Gβγ subunits. The Journal of Physiology. 509(1). 15–27. 30 indexed citations
18.
Stephens, Gary J., et al.. (1997). Functional expression of rat brain cloned α1E calcium channels in COS-7 cells. Pflügers Archiv - European Journal of Physiology. 433(4). 523–532. 74 indexed citations
19.
20.
Stephens, Gary J., et al.. (1993). Calcium‐mobilizing and electrophysiological effects of bradykinin on cortical astrocyte subtypes in culture. Glia. 9(4). 269–279. 35 indexed citations

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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