Javier Vargas‐Castrillón

1.6k total citations · 1 hit paper
13 papers, 1.3k citations indexed

About

Javier Vargas‐Castrillón is a scholar working on Epidemiology, Hepatology and Surgery. According to data from OpenAlex, Javier Vargas‐Castrillón has authored 13 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 5 papers in Hepatology and 4 papers in Surgery. Recurrent topics in Javier Vargas‐Castrillón's work include Liver Disease Diagnosis and Treatment (11 papers), Hepatitis C virus research (4 papers) and Pancreatitis Pathology and Treatment (3 papers). Javier Vargas‐Castrillón is often cited by papers focused on Liver Disease Diagnosis and Treatment (11 papers), Hepatitis C virus research (4 papers) and Pancreatitis Pathology and Treatment (3 papers). Javier Vargas‐Castrillón collaborates with scholars based in Spain, United States and Italy. Javier Vargas‐Castrillón's co-authors include Carmelo García‐Monzón, María E. Miquilena-Colina, Miguel Fernández‐Bermejo, Oreste Lo Iacono, Javier González‐Gallego, Sonia Sánchez‐Campos, Elena Lima‐Cabello, María Victoria García‐Mediavilla, Ángela M. Valverde and Lisardo Boscá and has published in prestigious journals such as Gut, Journal of Hepatology and American Journal Of Pathology.

In The Last Decade

Javier Vargas‐Castrillón

12 papers receiving 1.3k citations

Hit Papers

Impaired autophagic flux is associated with increased end... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javier Vargas‐Castrillón Spain 10 980 397 327 255 213 13 1.3k
María E. Miquilena-Colina Spain 14 1.0k 1.1× 449 1.1× 361 1.1× 272 1.1× 227 1.1× 16 1.5k
Nobito Higuchi Japan 11 824 0.8× 475 1.2× 441 1.3× 123 0.5× 266 1.2× 15 1.3k
Yin-xiong Li China 7 759 0.8× 255 0.6× 385 1.2× 193 0.8× 122 0.6× 14 969
Ryoko Yada Japan 9 603 0.6× 341 0.9× 295 0.9× 74 0.3× 167 0.8× 13 903
George G. Schweitzer United States 19 577 0.6× 624 1.6× 377 1.2× 190 0.7× 278 1.3× 33 1.4k
Xabier Buqué Spain 11 535 0.5× 325 0.8× 258 0.8× 103 0.4× 106 0.5× 22 861
Michael Feigh Denmark 19 897 0.9× 430 1.1× 607 1.9× 202 0.8× 275 1.3× 58 1.4k
Rémy Hanf France 14 611 0.6× 675 1.7× 296 0.9× 88 0.3× 217 1.0× 31 1.3k
I. Pierantonelli Italy 10 609 0.6× 267 0.7× 219 0.7× 100 0.4× 120 0.6× 15 836
Jamie E. Mells United States 10 987 1.0× 447 1.1× 675 2.1× 123 0.5× 464 2.2× 11 1.5k

Countries citing papers authored by Javier Vargas‐Castrillón

Since Specialization
Citations

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

Fields of papers citing papers by Javier Vargas‐Castrillón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Vargas‐Castrillón. 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 Javier Vargas‐Castrillón. The network helps show where Javier Vargas‐Castrillón may publish in the future.

Co-authorship network of co-authors of Javier Vargas‐Castrillón

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

All Works

13 of 13 papers shown
1.
García‐Monzón, Carmelo, Petar Petrov, Carla Guzmán, et al.. (2018). Angiopoietin-Like Protein 8 Is a Novel Vitamin D Receptor Target Gene Involved in Nonalcoholic Fatty Liver Pathogenesis. American Journal Of Pathology. 188(12). 2800–2810. 29 indexed citations
2.
Vila‐Bedmar, Rocío, Águeda González‐Rodríguez, Patricia Rada, et al.. (2018). Involvement of G protein-coupled receptor kinase 2 (GRK2) in the development of non-alcoholic steatosis and steatohepatitis in mice and humans. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(12). 3655–3667. 18 indexed citations
3.
González‐Rodríguez, Águeda, Petar Petrov, Carla Guzmán, et al.. (2018). Angiopoietin-like protein 8 is a novel vitamin D receptor-targeted lipogenic gene associated with non-alcoholic fatty liver. Journal of Hepatology. 68. S361–S362. 1 indexed citations
4.
Motiño, Omar, Noelia Agrá, Carmelo García‐Monzón, et al.. (2016). Cyclooxygenase-2 expression in hepatocytes attenuates non-alcoholic steatohepatitis and liver fibrosis in mice. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1862(9). 1710–1723. 45 indexed citations
5.
García‐Monzón, Carmelo, Javier Vargas‐Castrillón, Marı́a Teresa Alonso, et al.. (2015). Prevalence and risk factors for biopsy‐proven non‐alcoholic fatty liver disease and non‐alcoholic steatohepatitis in a prospective cohort of adult patients with gallstones. Liver International. 35(8). 1983–1991. 23 indexed citations
6.
Sheedfar, Fareeba, Miranda M. Sung, Marcela Aparicio-Vergara, et al.. (2014). Increased hepatic CD36 expression with age is associated with enhanced susceptibility to nonalcoholic fatty liver disease. Aging. 6(4). 281–295. 86 indexed citations
7.
González‐Rodríguez, Águeda, Rafael Mayoral, Néstor Vázquez-Agra, et al.. (2014). Impaired autophagic flux is associated with increased endoplasmic reticulum stress during the development of NAFLD. Cell Death and Disease. 5(4). e1179–e1179. 481 indexed citations breakdown →
8.
García‐Monzón, Carmelo, Oreste Lo Iacono, Javier Crespo, et al.. (2013). Increased soluble CD36 is linked to advanced steatosis in nonalcoholic fatty liver disease. European Journal of Clinical Investigation. 44(1). 65–73. 47 indexed citations
9.
Miquilena-Colina, María E., Elena Lima‐Cabello, Sonia Sánchez‐Campos, et al.. (2011). Hepatic fatty acid translocase CD36 upregulation is associated with insulin resistance, hyperinsulinaemia and increased steatosis in non-alcoholic steatohepatitis and chronic hepatitis C. Gut. 60(10). 1394–1402. 359 indexed citations
10.
García‐Monzón, Carmelo, Oreste Lo Iacono, Rafael Mayoral, et al.. (2010). Hepatic insulin resistance is associated with increased apoptosis and fibrogenesis in nonalcoholic steatohepatitis and chronic hepatitis C. Journal of Hepatology. 54(1). 142–152. 79 indexed citations
11.
Lima‐Cabello, Elena, María Victoria García‐Mediavilla, María E. Miquilena-Colina, et al.. (2010). Enhanced expression of pro-inflammatory mediators and liver X-receptor-regulated lipogenic genes in non-alcoholic fatty liver disease and hepatitis C. Clinical Science. 120(6). 239–250. 117 indexed citations
12.
Vargas‐Castrillón, Javier, et al.. (2006). Colitis by Cryptosporidium as initial manifestation of acquired immunodeficiency syndrome. Revista Española de Enfermedades Digestivas. 98(8). 621–3.
13.
Vargas‐Castrillón, Javier, et al.. (1991). Fine needle aspiration biopsy diagnosis of Sister Mary Joseph's nodule 13 years after mastectomy.. PubMed. 35(6). 790–790. 1 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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