G Cota

1.1k total citations
27 papers, 972 citations indexed

About

G Cota is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Reproductive Medicine. According to data from OpenAlex, G Cota has authored 27 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 21 papers in Cellular and Molecular Neuroscience and 3 papers in Reproductive Medicine. Recurrent topics in G Cota's work include Ion channel regulation and function (19 papers), Neuroscience and Neural Engineering (13 papers) and Neuroscience and Neuropharmacology Research (10 papers). G Cota is often cited by papers focused on Ion channel regulation and function (19 papers), Neuroscience and Neural Engineering (13 papers) and Neuroscience and Neuropharmacology Research (10 papers). G Cota collaborates with scholars based in Mexico, United States and Venezuela. G Cota's co-authors include Clay M. Armstrong, Enrico Stefani, Ricardo Felix, Leonardo Nicola Siri, Ulises Meza, Marcia Hiriart, Guillermo Ávila, José de Anchieta C. Horta‐Júnior, Juan Carlos Gómora and Luis F. Lopez‐Santiago and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Physiology and Biophysical Journal.

In The Last Decade

G Cota

27 papers receiving 920 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G Cota Mexico 18 775 646 216 98 75 27 972
Philip M. Best United States 24 1.0k 1.3× 576 0.9× 651 3.0× 92 0.9× 161 2.1× 42 1.4k
Judith A. Heiny United States 22 704 0.9× 291 0.5× 170 0.8× 254 2.6× 131 1.7× 41 981
J. J. Bray New Zealand 17 509 0.7× 390 0.6× 167 0.8× 174 1.8× 50 0.7× 18 940
Petronel Tuluc Austria 22 1.1k 1.4× 665 1.0× 440 2.0× 84 0.9× 26 0.3× 47 1.3k
Alexei Pereverzev Germany 12 792 1.0× 552 0.9× 279 1.3× 77 0.8× 5 0.1× 14 887
Adolfo E. Cuadra United States 13 517 0.7× 190 0.3× 314 1.5× 67 0.7× 18 0.2× 26 885
Bratislav M. Velimirovic United States 9 1.0k 1.3× 620 1.0× 522 2.4× 39 0.4× 11 0.1× 11 1.2k
Eric A. Accili Canada 21 1.1k 1.4× 643 1.0× 706 3.3× 68 0.7× 11 0.1× 51 1.3k
Georg Wietzorrek Austria 14 502 0.6× 362 0.6× 156 0.7× 73 0.7× 8 0.1× 22 789
Marı́a Isabel Niemeyer Chile 23 1.3k 1.7× 622 1.0× 386 1.8× 113 1.2× 21 0.3× 41 1.5k

Countries citing papers authored by G Cota

Since Specialization
Citations

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

Fields of papers citing papers by G Cota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Cota

This figure shows the co-authorship network connecting the top 25 collaborators of G Cota. A scholar is included among the top collaborators of G Cota 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 G Cota. G Cota 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.
Ávila, Guillermo, et al.. (2006). Nerve growth factor affects Ca2+ currents via the p75 receptor to enhance prolactin mRNA levels in GH3 rat pituitary cells. The Journal of Physiology. 574(2). 349–365. 11 indexed citations
2.
Ávila, Guillermo, et al.. (2003). Downregulation of voltage-gated sodium channels by dexamethasone in clonal rat pituitary cells. Neuroscience Letters. 339(1). 21–24. 6 indexed citations
3.
Lopez‐Santiago, Luis F., Juan Carlos Gómora, & G Cota. (2001). Postnatal decrease of sodium current density in rat pituitary melanotropes following the onset of dopaminergic innervation. Neuroscience Letters. 315(3). 137–140. 3 indexed citations
4.
Monjaraz, Eduardo, et al.. (2000). L‐type calcium channel activity regulates sodium channel levels in rat pituitary GH3 cells. The Journal of Physiology. 523(1). 45–55. 29 indexed citations
5.
Gómora, Juan Carlos, Guillermo Ávila, & G Cota. (1996). Ca2+ current expression in pituitary melanotrophs of neonatal rats and its regulation by D2 dopamine receptors.. The Journal of Physiology. 492(3). 763–773. 17 indexed citations
6.
Felix, Ricardo, Ulises Meza, & G Cota. (1995). Induction of classical lactotropes by epidermal growth factor in rat pituitary cell cultures.. Endocrinology. 136(3). 939–946. 45 indexed citations
7.
Meza, Ulises, Guillermo Ávila, Ricardo Felix, Juan Carlos Gómora, & G Cota. (1994). Long-term regulation of calcium channels in clonal pituitary cells by epidermal growth factor, insulin, and glucocorticoids.. The Journal of General Physiology. 104(6). 1019–1038. 33 indexed citations
8.
Cota, G, et al.. (1993). Lactotrope subtypes are differentially responsive to calcium channel blockers. Molecular and Cellular Endocrinology. 92(2). 189–193. 5 indexed citations
9.
Cota, G, et al.. (1992). [55] Analysis of sodium channel tail currents. Methods in enzymology on CD-ROM/Methods in enzymology. 207. 806–816. 2 indexed citations
10.
Armstrong, Clay M. & G Cota. (1990). Modification of sodium channel gating by lanthanum. Some effects that cannot be explained by surface charge theory.. The Journal of General Physiology. 96(6). 1129–1140. 60 indexed citations
11.
Cota, G & Enrico Stefani. (1989). Voltage-dependent inactivation of slow calcium channels in intact twitch muscle fibers of the frog.. The Journal of General Physiology. 94(5). 937–951. 21 indexed citations
12.
Cota, G & Clay M. Armstrong. (1989). Sodium channel gating in clonal pituitary cells. The inactivation step is not voltage dependent.. The Journal of General Physiology. 94(2). 213–232. 109 indexed citations
13.
Cota, G & Marcia Hiriart. (1989). Hormonal and neurotransmitter regulation of Ca channel activity in cultured adenohypophyseal cells.. PubMed. 44. 143–65. 17 indexed citations
14.
Cota, G & Clay M. Armstrong. (1988). Potassium channel "inactivation" induced by soft-glass patch pipettes. Biophysical Journal. 53(1). 107–109. 37 indexed citations
15.
16.
Cota, G & Enrico Stefani. (1986). A fast‐activated inward calcium current in twitch muscle fibres of the frog (Rana montezume).. The Journal of Physiology. 370(1). 151–163. 76 indexed citations
17.
Avila-Sakar, Agustin, G Cota, J. ANTONIO VÁZQUEZ-GARCÍA, et al.. (1986). Skeletal muscle Ca2+ channels. Journal of Muscle Research and Cell Motility. 7(4). 291–298. 29 indexed citations
18.
Cota, G & Enrico Stefani. (1984). Saturation of calcium channels and surface charge effects in skeletal muscle fibres of the frog.. The Journal of Physiology. 351(1). 135–154. 40 indexed citations
19.
Cota, G, Leonardo Nicola Siri, & Enrico Stefani. (1983). Calcium‐channel gating in frog skeletal muscle membrane: effect of temperature.. The Journal of Physiology. 338(1). 395–412. 39 indexed citations
20.
Cota, G & Enrico Stefani. (1981). Effects of external calcium reduction on the kinetics of potassium contractures in frog twitch muscle fibres.. The Journal of Physiology. 317(1). 303–316. 39 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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