Aitor Esparza-Baquer

1.1k total citations · 1 hit paper
9 papers, 460 citations indexed

About

Aitor Esparza-Baquer is a scholar working on Surgery, Molecular Biology and Epidemiology. According to data from OpenAlex, Aitor Esparza-Baquer has authored 9 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Aitor Esparza-Baquer's work include Inflammation biomarkers and pathways (2 papers), Pediatric Hepatobiliary Diseases and Treatments (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). Aitor Esparza-Baquer is often cited by papers focused on Inflammation biomarkers and pathways (2 papers), Pediatric Hepatobiliary Diseases and Treatments (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). Aitor Esparza-Baquer collaborates with scholars based in Spain, Italy and United States. Aitor Esparza-Baquer's co-authors include Jesús M. Bañales, Luís Bujanda, María J. Perugorria, Ibone Labiano, Marco Marzioni, José J.G. Marı́n, Paula Olaizola, Begoña M. Jugo, Ramón A. Juste and Leire Moreno‐Cugnon and has published in prestigious journals such as Journal of Hepatology, Nature Reviews Gastroenterology & Hepatology and Molecular Immunology.

In The Last Decade

Aitor Esparza-Baquer

9 papers receiving 459 citations

Hit Papers

Wnt–β-catenin signalling in liver development, health and... 2018 2026 2020 2023 2018 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
Aitor Esparza-Baquer Spain 5 279 105 89 81 73 9 460
Ibone Labiano Spain 7 289 1.0× 108 1.0× 92 1.0× 91 1.1× 84 1.2× 10 493
Changku Jia China 10 238 0.9× 91 0.9× 60 0.7× 36 0.4× 115 1.6× 22 427
Chaobo Hu China 5 203 0.7× 98 0.9× 56 0.6× 37 0.5× 48 0.7× 6 342
Xiong Ding China 9 158 0.6× 54 0.5× 69 0.8× 75 0.9× 84 1.2× 21 334
W-T Chen Taiwan 7 243 0.9× 215 2.0× 60 0.7× 74 0.9× 61 0.8× 12 439
Laura Molina United States 13 232 0.8× 49 0.5× 166 1.9× 126 1.6× 62 0.8× 26 485
Bong-Kyeong Oh South Korea 10 353 1.3× 88 0.8× 54 0.6× 36 0.4× 95 1.3× 14 543
Hong Yuan China 9 207 0.7× 118 1.1× 47 0.5× 55 0.7× 121 1.7× 36 454

Countries citing papers authored by Aitor Esparza-Baquer

Since Specialization
Citations

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

Fields of papers citing papers by Aitor Esparza-Baquer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aitor Esparza-Baquer. 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 Aitor Esparza-Baquer. The network helps show where Aitor Esparza-Baquer may publish in the future.

Co-authorship network of co-authors of Aitor Esparza-Baquer

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

All Works

9 of 9 papers shown
1.
Esparza-Baquer, Aitor, et al.. (2021). Gene Expression Profiling Reveals New Pathways and Genes Associated with Visna/Maedi Viral Disease. Animals. 11(6). 1785–1785. 6 indexed citations
2.
Perugorria, María J., Paula Olaizola, Ibone Labiano, et al.. (2018). Wnt–β-catenin signalling in liver development, health and disease. Nature Reviews Gastroenterology & Hepatology. 16(2). 121–136. 420 indexed citations breakdown →
3.
Esparza-Baquer, Aitor, Omar Sharif, Fiona Oakley, et al.. (2018). The anti-inflammatory receptor TREM2 halts the generation of HCC in mice through the inhibition of liver inflammation and hepatocyte proliferative responses. Journal of Hepatology. 68. S675–S676. 1 indexed citations
4.
Perugorria, María J., Ibone Labiano, Aitor Esparza-Baquer, et al.. (2017). Bile Acids in Polycystic Liver Diseases: Triggers of Disease Progression and Potential Solution for Treatment. Digestive Diseases. 35(3). 275–281. 7 indexed citations
5.
Esparza-Baquer, Aitor, Ibone Labiano, Luís Bujanda, María J. Perugorria, & Jesús M. Bañales. (2016). MicroRNAs in cholangiopathies: Potential diagnostic and therapeutic tools. Clinics and Research in Hepatology and Gastroenterology. 40(1). 15–27. 15 indexed citations
6.
Perugorria, María J., Omar Sharif, Fiona Oakley, et al.. (2016). TREM-2 Protects the Liver from Immune-Mediated Hepatocellular Damage. Journal of Hepatology. 64(2). S149–S150. 1 indexed citations
8.
Esparza-Baquer, Aitor, Maider Mateo‐Abad, Esmeralda Minguijón, et al.. (2014). SNPs in APOBEC3 cytosine deaminases and their association with Visna/Maedi disease progression. Veterinary Immunology and Immunopathology. 163(3-4). 125–133. 2 indexed citations
9.
Moreno‐Cugnon, Leire, Aitor Esparza-Baquer, Koldo García‐Etxebarria, et al.. (2014). Characterization and genotyping of the DRB1 gene of the major histocompatibility complex (MHC) in the Marmota monax, animal model of hepatitis B. Molecular Immunology. 63(2). 505–512. 4 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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