Aitor Esparza-Baquer

1.1k citations
9 papers · 460 · 1 hit paper · h-index 5

Impact in

  • Hepatology top 10%
    • Liver physiology and pathology
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Aitor Esparza-Baquer

9 papers receiving 459 citations

Aitor Esparza-Baquer's Hit Papers

Wnt–β-catenin signalling in liver development, health and disease 2018 · 420 citations
4200+2+5Years since publication100200300400

Peers

Aitor Esparza-Baquer
Comparison fields: 5 of 71
  • Hepatology 89
  • Cancer Research 105
  • Molecular Biology 279
  • Cell Biology 50
  • Microbiology 2
Replace Ibone Labiano with:
Ibone Labiano Spain
Changku Jia China
Chaobo Hu China
Xiong Ding China
Laura Molina United States
W-T Chen Taiwan
Fudong Lv China
Bong-Kyeong Oh South Korea
Hong Yuan China
Aitor Esparza-Baquer relative to Ibone Labiano Spain Ibone Labiano's profile →
Citations per field
00.5×
Ibone Labiano · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Aitor Esparza-Baquer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aitor Esparza-Baquer Line = papers co-authored together Aitor Esparza-Baquer links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Wnt–β-catenin signalling in liver development, health and disease
Hit paper breakdown →
2018420
2 201615
3 20177
4 20216
5 20144
6 20154
7 20142
8 20181
9 20161

About Aitor Esparza-Baquer

Aitor Esparza-Baquer is a scholar working on Surgery, Molecular Biology, Epidemiology, Immunology and Infectious Diseases, having authored 9 papers that have together received 460 indexed citations. Recurring topics across this work include Inflammation biomarkers and pathways (2 papers), Pediatric Hepatobiliary Diseases and Treatments (2 papers), Mycobacterium research and diagnosis (1 paper), MicroRNA in disease regulation (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Genetic and Kidney Cyst Diseases (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and Apelin-related biomedical research (1 paper). The work is most often cited by research in Hepatology (89 citations), Cancer Research (105 citations), Molecular Biology (279 citations), Cell Biology (50 citations) and Microbiology (2 citations). Aitor Esparza-Baquer has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Jesús M. Bañales, Ibone Labiano, Luís Bujanda, María J. Perugorria, José J.G. Marı́n, Marco Marzioni, Paula Olaizola, Begoña M. Jugo, Ramón A. Juste and Leire Moreno‐Cugnon. Their work appears in journals such as Journal of Hepatology, Animal Genetics, Animals, Veterinary Immunology and Immunopathology and Digestive Diseases.

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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