Simon Bulley

880 total citations
17 papers, 635 citations indexed

About

Simon Bulley is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Sensory Systems. According to data from OpenAlex, Simon Bulley has authored 17 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 4 papers in Sensory Systems. Recurrent topics in Simon Bulley's work include Ion channel regulation and function (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Genetic and Kidney Cyst Diseases (4 papers). Simon Bulley is often cited by papers focused on Ion channel regulation and function (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Genetic and Kidney Cyst Diseases (4 papers). Simon Bulley collaborates with scholars based in United States and United Kingdom. Simon Bulley's co-authors include Jonathan H. Jaggar, Zachary P. Neeb, Sarah Burris, M. Dennis Leo, John P. Bannister, Candice M. Thomas-Gatewood, Wanchana Jangsangthong, Qian Wang, Adebowale Adebiyi and Raquibul Hasan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation Research and The Journal of Physiology.

In The Last Decade

Simon Bulley

17 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Simon Bulley United States	11	415	185	172	133	122	17	635
Oleksandr V. Povstyan United Kingdom	16	368 0.9×	66 0.4×	223 1.3×	99 0.7×	175 1.4×	26	675
Maksym I. Harhun United Kingdom	15	470 1.1×	88 0.5×	188 1.1×	162 1.2×	314 2.6×	29	799
Seth T. Eisenman United States	10	288 0.7×	114 0.6×	96 0.6×	64 0.5×	80 0.7×	18	623
Petra Waldegger Austria	12	496 1.2×	56 0.3×	84 0.5×	53 0.4×	89 0.7×	17	634
Hamdy M. Embark Germany	9	548 1.3×	95 0.5×	53 0.3×	88 0.7×	76 0.6×	14	635
M. Wakui Japan	14	500 1.2×	135 0.7×	165 1.0×	222 1.7×	56 0.5×	37	831
Lan Wei‐LaPierre United States	12	599 1.4×	104 0.6×	207 1.2×	174 1.3×	57 0.5×	19	760
J. D. McCann United States	14	529 1.3×	59 0.3×	97 0.6×	241 1.8×	141 1.2×	16	686
Alejandro Moreno‐Domínguez Spain	13	346 0.8×	41 0.2×	173 1.0×	61 0.5×	196 1.6×	16	592
Ming‐Ming Wu China	15	282 0.7×	42 0.2×	63 0.4×	98 0.7×	73 0.6×	32	471

Countries citing papers authored by Simon Bulley

Since Specialization

Citations

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

Fields of papers citing papers by Simon Bulley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Bulley. 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 Simon Bulley. The network helps show where Simon Bulley may publish in the future.

Co-authorship network of co-authors of Simon Bulley

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

All Works

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17 of 17 papers shown

Akin, Elizabeth J., Katie Mayne, Michael D. Young, et al.. (2023). ANO1, CaV1.2, and IP3R form a localized unit of EC-coupling in mouse pulmonary arterial smooth muscle. The Journal of General Physiology. 155(11). 13 indexed citations

Choi, Young Don, et al.. (2022). The function of β3‐adrenergic receptors in resistance‐sized arteries. The FASEB Journal. 36(S1). 2 indexed citations

Mayne, Katie, Kenton M. Sanders, Sean M. Ward, et al.. (2020). ANO1, CaV1.2 and IP3R Form a Functional Unit of Excitation-Contraction Coupling during Agonist-Mediated Contraction of Mouse Pulmonary Arterial Smooth Muscle. Biophysical Journal. 118(3). 563a–564a. 1 indexed citations

Mackay, Charles, M. Dennis Leo, Carlos Fernández‐Peña, et al.. (2020). Intravascular flow stimulates PKD2 (polycystin-2) channels in endothelial cells to reduce blood pressure. eLife. 9. 42 indexed citations

Hasan, Raquibul, M. Dennis Leo, Alejandro Mata‐Daboin, et al.. (2019). SUMO1 modification of PKD2 channels regulates arterial contractility. Proceedings of the National Academy of Sciences. 116(52). 27095–27104. 26 indexed citations

Zawieja, Scott D., Peichun Gui, Min Li, et al.. (2019). Ano1 mediates pressure-sensitive contraction frequency changes in mouse lymphatic collecting vessels. The Journal of General Physiology. 151(4). 532–554. 46 indexed citations

Bulley, Simon, Carlos Fernández‐Peña, Raquibul Hasan, et al.. (2018). Arterial smooth muscle cell PKD2 (TRPP1) channels regulate systemic blood pressure. eLife. 7. 38 indexed citations

Burris, Sarah, Qian Wang, Simon Bulley, Zachary P. Neeb, & Jonathan H. Jaggar. (2015). 9‐Phenanthrol inhibits recombinant and arterial myocyte TMEM16A channels. British Journal of Pharmacology. 172(10). 2459–2468. 68 indexed citations

Jiang, Zheng, et al.. (2013). The Modulatory Role of Taurine in Retinal Ganglion Cells. Advances in experimental medicine and biology. 775. 53–68. 8 indexed citations

10.

Narayanan, Damodaran, Simon Bulley, M. Dennis Leo, et al.. (2013). Smooth muscle cell transient receptor potential polycystin‐2 (TRPP2) channels contribute to the myogenic response in cerebral arteries. The Journal of Physiology. 591(20). 5031–5046. 67 indexed citations

11.

Bulley, Simon & Jonathan H. Jaggar. (2013). Cl− channels in smooth muscle cells. Pflügers Archiv - European Journal of Physiology. 466(5). 861–872. 79 indexed citations

12.

Narayanan, Damodaran, Simon Bulley, M. Dennis Leo, et al.. (2013). Smooth muscle cell transient receptor potential polycystin (TRPP)2 channels contribute to the myogenic response in cerebral arteries. The FASEB Journal. 27(S1). 1 indexed citations

13.

Bulley, Simon, Yufei Liu, Harris Ripps, & Wen‐Hui Shen. (2012). Taurine activates delayed rectifier K_V channels via a metabotropic pathway in retinal neurons. The Journal of Physiology. 591(1). 123–132. 10 indexed citations

14.

Bulley, Simon, Zachary P. Neeb, Sarah Burris, et al.. (2012). TMEM16A/ANO1 Channels Contribute to the Myogenic Response in Cerebral Arteries. Circulation Research. 111(8). 1027–1036. 117 indexed citations

15.

Thomas-Gatewood, Candice M., Zachary P. Neeb, Simon Bulley, et al.. (2011). TMEM16A channels generate Ca²⁺-activated Cl⁻ currents in cerebral artery smooth muscle cells. American Journal of Physiology-Heart and Circulatory Physiology. 301(5). H1819–H1827. 96 indexed citations

16.

Bulley, Simon & Wen‐Hui Shen. (2009). Taurine Regulation of Glutamate Currents Through Activation of a New Receptor. Investigative Ophthalmology & Visual Science. 50(13). 1033–1033. 5 indexed citations

17.

Bulley, Simon, Sheena Derry, R Andrew Moore, & Henry J McQuay. (2009). Single dose oral rofecoxib for acute postoperative pain in adults. Cochrane Database of Systematic Reviews. 2019(5). CD004604–CD004604. 16 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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