Luis Leiva‐Vega

693 total citations
11 papers, 276 citations indexed

About

Luis Leiva‐Vega is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Luis Leiva‐Vega has authored 11 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Epidemiology. Recurrent topics in Luis Leiva‐Vega's work include Adipose Tissue and Metabolism (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Luis Leiva‐Vega is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Luis Leiva‐Vega collaborates with scholars based in Spain, United States and Honduras. Luis Leiva‐Vega's co-authors include Catherine A. Kraft, José Luis Velasco Garrido, Guillermo Romero, Alfonso Mora, Guadalupe Sabio, Elisa Manieri, Elena M. Rodríguez Rodríguez, Jorge Torres, Lourdes Hernández‐Cosido and Miguel Marcos and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Luis Leiva‐Vega

10 papers receiving 275 citations

Peers

Luis Leiva‐Vega

MB

EPIDE

PHYSI

HEPAT

CB

Suchira Gallage Germany

Lijun Shen China

Rilu Feng China

Cafer Ozdemir United States

Mengfei Zhao China

Youwen Yuan China

Yuda Wei China

Jashdeep Bhattacharjee India

J. Oláh Hungary

Airong Wu China

Suchira Gallage Germany

Luis Leiva‐Vega

114 ×1.0

MB

118 ×1.3

EPIDE

60 ×0.7

PHYSI

42 ×1.2

HEPAT

25 ×0.7

CB

Citations per year, relative to Luis Leiva‐Vega Luis Leiva‐Vega (= 1×) peers Suchira Gallage

Countries citing papers authored by Luis Leiva‐Vega

Since Specialization

Citations

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

Fields of papers citing papers by Luis Leiva‐Vega

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis Leiva‐Vega. 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 Luis Leiva‐Vega. The network helps show where Luis Leiva‐Vega may publish in the future.

Co-authorship network of co-authors of Luis Leiva‐Vega

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

All Works

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11 of 11 papers shown

1.

Deleyto-Seldas, Nerea, Fernando Garcı́a, Eduardo Caleiras, et al.. (2024). Hepatic nutrient and hormone signaling to mTORC1 instructs the postnatal metabolic zonation of the liver. Nature Communications. 15(1). 1878–1878. 4 indexed citations

2.

López, Juan Antonio, Phillip A. Dumesic, Elena M. Rodríguez Rodríguez, et al.. (2024). p38α kinase governs muscle strength through PGC1α in mice. Acta Physiologica. 240(11). e14234–e14234. 1 indexed citations

3.

Nikolić, Ivana, Luis Leiva‐Vega, Alfonso Mora, et al.. (2024). Lack of p38 activation in T cells increases IL-35 and protects against obesity by promoting thermogenesis. EMBO Reports. 25(6). 2635–2661. 2 indexed citations

4.

Cruz, Francisco M., Alfonso Mora, Juan Antonio López, et al.. (2023). p38γ/δ activation alters cardiac electrical activity and predisposes to ventricular arrhythmia. Nature Cardiovascular Research. 2(12). 1204–1220.

5.

Mora, Alfonso, Elisa Manieri, Ivana Nikolić, et al.. (2022). MKK6 deficiency promotes cardiac dysfunction through MKK3-p38γ/δ-mTOR hyperactivation. eLife. 11. 14 indexed citations

6.

Nikolić, Ivana, Alfonso Mora, Elena M. Rodríguez Rodríguez, et al.. (2022). Myeloid p38 activation maintains macrophage–liver crosstalk and BAT thermogenesis through IL‐12–FGF21 axis. Hepatology. 77(3). 874–887. 11 indexed citations

7.

Manieri, Elisa, Cintia Folgueira, Luis Leiva‐Vega, et al.. (2020). JNK-mediated disruption of bile acid homeostasis promotes intrahepatic cholangiocarcinoma. Proceedings of the National Academy of Sciences. 117(28). 16492–16499. 40 indexed citations

8.

Manieri, Elisa, Alfonso Mora, Antonia Tomás‐Loba, et al.. (2019). Adiponectin accounts for gender differences in hepatocellular carcinoma incidence. The Journal of Experimental Medicine. 216(5). 1108–1119. 75 indexed citations

9.

Matesanz, Nuria, Edgar Bernardo, Rebeca Acín‐Pérez, et al.. (2017). MKK6 controls T3-mediated browning of white adipose tissue. Nature Communications. 8(1). 856–856. 57 indexed citations

10.

Kraft, Catherine A., José Luis Velasco Garrido, Luis Leiva‐Vega, & Guillermo Romero. (2009). Quantitative Analysis of Protein-Lipid Interactions Using Tryptophan Fluorescence. Science Signaling. 2(99). pl4–pl4. 36 indexed citations

11.

Kraft, Catherine A., et al.. (2008). Role of Phosphatidic Acid in the Coupling of the ERK Cascade. Journal of Biological Chemistry. 283(52). 36636–36645. 36 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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