Héctor Rojas

1.1k total citations
53 papers, 908 citations indexed

About

Héctor Rojas is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Héctor Rojas has authored 53 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 17 papers in Cellular and Molecular Neuroscience and 13 papers in Epidemiology. Recurrent topics in Héctor Rojas's work include Neuroscience and Neuropharmacology Research (12 papers), Ion channel regulation and function (11 papers) and Research on Leishmaniasis Studies (8 papers). Héctor Rojas is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), Ion channel regulation and function (11 papers) and Research on Leishmaniasis Studies (8 papers). Héctor Rojas collaborates with scholars based in Venezuela, Argentina and United States. Héctor Rojas's co-authors include Reinaldo DiPolo, Luis Beaugé, Carlo Caputo, Gustavo Benaím, Francisco Bezanilla, Claudia Colina, E. H. Jaffé, Noris Rodríguez, Gonzalo Visbal and Xenón Serrano-Martín and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Héctor Rojas

50 papers receiving 871 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Héctor Rojas Venezuela 18 479 307 145 140 91 53 908
Takashi Suzuki Japan 16 328 0.7× 197 0.6× 178 1.2× 144 1.0× 34 0.4× 25 823
Bruce E. Kimmel United States 16 858 1.8× 438 1.4× 193 1.3× 111 0.8× 157 1.7× 25 1.6k
Barbara Martin United States 15 583 1.2× 214 0.7× 127 0.9× 32 0.2× 75 0.8× 25 1.1k
Naohito Ohashi Japan 20 456 1.0× 167 0.5× 54 0.4× 104 0.7× 163 1.8× 68 1.3k
Arie Oosterhof Netherlands 21 871 1.8× 264 0.9× 91 0.6× 26 0.2× 73 0.8× 55 1.2k
Robert I. Schumacher Brazil 23 876 1.8× 129 0.4× 428 3.0× 313 2.2× 44 0.5× 40 1.6k
Daniel Emerling United States 18 260 0.5× 187 0.6× 47 0.3× 200 1.4× 23 0.3× 28 876
Sibylle Haid Germany 19 540 1.1× 342 1.1× 483 3.3× 44 0.3× 28 0.3× 33 1.6k
M. T. Castells Spain 22 527 1.1× 156 0.5× 66 0.5× 163 1.2× 28 0.3× 48 1.1k
Ronald Y. Chuang United States 23 778 1.6× 616 2.0× 107 0.7× 52 0.4× 45 0.5× 81 1.9k

Countries citing papers authored by Héctor Rojas

Since Specialization
Citations

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

Fields of papers citing papers by Héctor Rojas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Héctor Rojas

This figure shows the co-authorship network connecting the top 25 collaborators of Héctor Rojas. A scholar is included among the top collaborators of Héctor Rojas 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 Héctor Rojas. Héctor Rojas 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.
Castillo, Cecilia, Juan Carlos Martı́nez, Marinés Longart, et al.. (2018). Extracellular Application of CRMP2 Increases Cytoplasmic Calcium through NMDA Receptors. Neuroscience. 376. 204–223. 15 indexed citations
2.
Benaím, Gustavo, et al.. (2016). Sphingosine inhibits the sarco(endo)plasmic reticulum Ca2+-ATPase (SERCA) activity. Biochemical and Biophysical Research Communications. 473(2). 572–577. 6 indexed citations
3.
Castillo, Oscar, et al.. (2016). Endothelial fibrinolytic response onto an evolving matrix of fibrin. PubMed. 16(1). 9–9. 3 indexed citations
4.
Serrano, María Luisa, et al.. (2015). Presence of a thapsigargin-sensitive calcium pump in Trypanosoma evansi: Immunological, physiological, molecular and structural evidences. Experimental Parasitology. 159. 107–117. 9 indexed citations
5.
Marchi, Rita & Héctor Rojas. (2015). Effect of von Willebrand factor on clot structure and lysis. Blood Coagulation & Fibrinolysis. 26(5). 533–536. 8 indexed citations
6.
Contreras, Mónica, Víctor Salazar, María Alexandra García-Amado, et al.. (2014). Heterogeneity of cag genotypes of Helicobacter pylori in the esophageal mucosa of dyspeptic patients and its relation to histopathological outcomes. International Journal of Infectious Diseases. 26. 91–95. 8 indexed citations
7.
Rojas, Héctor, et al.. (2014). Environmental scanning electron microscopy analysis of Proteus mirabilis biofilms grown on chitin and stainless steel. Annals of Microbiology. 65(3). 1401–1409. 13 indexed citations
8.
Marchi, Rita, et al.. (2012). A novel mutation in the FGB: c.1105C>T turns the codon for amino acid Bβ Q339 into a stop codon causing hypofibrinogenemia. Blood Cells Molecules and Diseases. 50(3). 177–181. 4 indexed citations
9.
Rojas, Héctor, et al.. (2012). Sodium-Calcium Exchanger Modulates the L-Glutamate Cai 2+ Signalling in Type-1 Cerebellar Astrocytes. Advances in experimental medicine and biology. 961. 267–274. 12 indexed citations
10.
Sojo, Felipe, Laura Colman, Héctor Rojas, et al.. (2011). The marine sponge toxin agelasine B increases the intracellular Ca2+ concentration and induces apoptosis in human breast cancer cells (MCF-7). Cancer Chemotherapy and Pharmacology. 69(1). 71–83. 25 indexed citations
11.
Rojas, Héctor, Michael Meyer, Oscar Castillo, et al.. (2011). A novel missense mutation in the FGB g. 3354 T>A (p. Y41N), Fibrinogen Caracas VIII. Thrombosis and Haemostasis. 105(4). 627–634. 6 indexed citations
12.
13.
Rojas, Héctor, Claudia Colina, Gustavo Benaím, et al.. (2006). Na+entry via glutamate transporter activates the reverse Na+/Ca2+exchange and triggers ‐induced Ca2+release in rat cerebellar Type‐1 astrocytes. Journal of Neurochemistry. 100(5). 1188–1202. 68 indexed citations
14.
Mijares, Alfredo, et al.. (2004). Evaluation of the Presence of a Thapsigargin-Sensitive Calcium Store in Trypanosomatids Using Trypanosoma evansi as a Model. Journal of Parasitology. 90(5). 1181–1183. 16 indexed citations
15.
16.
Mijares, Alfredo, et al.. (2002). Physiological and morphological evidences for the presence acidocalcisomes in Trypanosoma evansi. Molecular and Biochemical Parasitology. 125(1-2). 23–33. 17 indexed citations
17.
Mijares, Alfredo, et al.. (2001). Trypanosoma evansi: A Convenient Model for Studying Intracellular Ca2+ Homeostasis Using Fluorometric Ratio Imaging from Single Parasites. Experimental Parasitology. 99(4). 213–219. 9 indexed citations
18.
19.
Beaugé, Luis, et al.. (1996). A Nerve Cytosolic Factor Is Required for MgATP Stimulation of a Na+ Gradient‐Dependent Ca2+ Uptake in Plasma Membrane Vesicles from Squid Optic Nervea. Annals of the New York Academy of Sciences. 779(1). 208–216. 17 indexed citations
20.
DiPolo, Reinaldo, Francisco Bezanilla, Carlo Caputo, & Héctor Rojas. (1985). Voltage dependence of the Na/Ca exchange in voltage-clamped, dialyzed squid axons. Na-dependent Ca efflux.. The Journal of General Physiology. 86(4). 457–478. 53 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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