Carolina Varela

566 total citations
11 papers, 460 citations indexed

About

Carolina Varela is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Epidemiology. According to data from OpenAlex, Carolina Varela has authored 11 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Carolina Varela's work include Neuroscience and Neuropharmacology Research (5 papers), Retinal Development and Disorders (4 papers) and Neuroscience and Neural Engineering (4 papers). Carolina Varela is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Retinal Development and Disorders (4 papers) and Neuroscience and Neural Engineering (4 papers). Carolina Varela collaborates with scholars based in Spain, France and Argentina. Carolina Varela's co-authors include Pedro de la Villa, Stéphane Melik Parsadaniantz, Patrick Kitabgi, Romain‐Daniel Gosselin, Ghazal Banisadr, William Rostène, Patricia Méchighel, Ramón Pla, Diego M. Gelman and Alessandra Pierani and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurophysiology and Journal of Neurochemistry.

In The Last Decade

Carolina Varela

11 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carolina Varela Spain 9 284 214 93 86 82 11 460
Miranda Mele Portugal 15 368 1.3× 306 1.4× 69 0.7× 131 1.5× 68 0.8× 20 619
Linda Gillberg Sweden 11 203 0.7× 363 1.7× 52 0.6× 72 0.8× 61 0.7× 17 586
Thomas Henzi Switzerland 12 167 0.6× 189 0.9× 40 0.4× 38 0.4× 45 0.5× 17 458
Ariel Ávila Chile 11 248 0.9× 284 1.3× 52 0.6× 165 1.9× 102 1.2× 22 607
Kruti M. Patel United States 13 257 0.9× 341 1.6× 54 0.6× 73 0.8× 22 0.3× 15 590
Hsiang‐Shu Yin Taiwan 12 287 1.0× 140 0.7× 36 0.4× 32 0.4× 104 1.3× 36 473
Casey L. Kilpatrick United States 7 295 1.0× 299 1.4× 47 0.5× 52 0.6× 19 0.2× 9 565
Carla Amico Italy 6 412 1.5× 274 1.3× 24 0.3× 78 0.9× 64 0.8× 6 537
Marie Soukupovà Italy 12 201 0.7× 258 1.2× 95 1.0× 29 0.3× 24 0.3× 30 528

Countries citing papers authored by Carolina Varela

Since Specialization
Citations

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

Fields of papers citing papers by Carolina Varela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carolina Varela

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

All Works

11 of 11 papers shown
2.
Cabrera, Carmen, et al.. (2019). Enhanced HLA-DR expression on T-lymphocytes from patients in early stages of non-surgical sepsis. Medicina Clínica (English Edition). 152(9). 346–349. 1 indexed citations
3.
Cabrera, Carmen, et al.. (2018). Enhanced HLA-DR expression on T-lymphocytes from patients in early stages of non-surgical sepsis. Medicina Clínica. 152(9). 346–349. 9 indexed citations
4.
Gelman, Diego M., Amélie Griveau, Nathalie Dehorter, et al.. (2011). A Wide Diversity of Cortical GABAergic Interneurons Derives from the Embryonic Preoptic Area. Journal of Neuroscience. 31(46). 16570–16580. 132 indexed citations
5.
Gosselin, Romain‐Daniel, Carolina Varela, Ghazal Banisadr, et al.. (2005). Constitutive expression of CCR2 chemokine receptor and inhibition by MCP‐1/CCL2 of GABA‐induced currents in spinal cord neurones. Journal of Neurochemistry. 95(4). 1023–1034. 143 indexed citations
6.
Varela, Carolina, Román Blanco, & Pedro de la Villa. (2005). Depolarizing effect of GABA in rod bipolar cells of the mouse retina. Vision Research. 45(20). 2659–2667. 35 indexed citations
7.
Varela, Carolina, Luis Rivera, Román Blanco, & Pedro de la Villa. (2005). Depolarizing effect of GABA in horizontal cells of the rabbit retina. Neuroscience Research. 53(3). 257–264. 8 indexed citations
8.
Bolaños‐Jiménez, Francisco, Patrice E. Fort, Carolina Varela, et al.. (2005). Molecular cloning and protein expression of Duchenne muscular dystrophy gene products in porcine retina. Neuromuscular Disorders. 15(7). 476–487. 9 indexed citations
9.
Varela, Carolina, et al.. (2004). Voltage-Gated Channels and Calcium Homeostasis in Mammalian Rod Photoreceptors. Journal of Neurophysiology. 93(3). 1468–1475. 37 indexed citations
10.
Varela, Carolina, et al.. (2003). Functional modifications in rod bipolar cells in a mouse model of retinitis pigmentosa. Vision Research. 43(8). 879–885. 58 indexed citations
11.
Varela, Carolina, et al.. (2002). Cholecystokinin-like immunoreactive amacrine cells in the rat retina. Visual Neuroscience. 19(4). 531–540. 9 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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