Xavier Escoté

3.1k citations
65 papers · 2.0k indexed · h-index 25

Impact in

Papers in

Xavier Escoté

63 papers receiving 2.0k citations

Peers

Xavier Escoté
Comparison fields: 5 of 114
  • Physiology 559
  • Biochemistry 129
  • Aging 30
  • Endocrinology, Diabetes and Metabolism 265
  • Epidemiology 530
Replace Hiromi Yamashita with:
Hiromi Yamashita Japan
Somasundaram Arumugam Japan
Vicent Ribas Spain
Yang Song China
Tomasz Śledziński Poland
Xianglu Rong China
Nunzia D’Onofrio Italy
Ming Song China
Yoshio Ogura Japan
Shaji Chacko United States
Xavier Escoté relative to Hiromi Yamashita Japan Hiromi Yamashita's profile →
Citations per field
00.5×1.5×2.1×
Hiromi Yamashita · 1×
Citations per year

Countries citing papers authored by Xavier Escoté

Since Specialization
Citations

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

Fields of papers citing papers by Xavier Escoté

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Xavier Escoté, 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 Xavier Escoté Line = papers co-authored together Xavier Escoté links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20249
3 20241
4 20243
5 20231
6 20235
7 20236
8 20232
9 202016
10 202024
11 201921
12 201815
13 201718
14 20176
15 201316
16 201267
17
Zinc-[alpha]2-glycoprotein in adipose tissue is related with insulin resistance and lipolytic genes in morbidly obese patients
20123
18 201114
19 200938
20 2006112

About Xavier Escoté

Xavier Escoté is a scholar working on Physiology, Biochemistry, Emergency Medicine, Epidemiology and Molecular Biology, having authored 65 papers that have together received 2.0k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (22 papers), Adipokines, Inflammation, and Metabolic Diseases (15 papers), Diet and metabolism studies (7 papers), Fungal and yeast genetics research (7 papers), Peroxisome Proliferator-Activated Receptors (6 papers), HIV-related health complications and treatments (6 papers), Fatty Acid Research and Health (6 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Physiology (559 citations), Biochemistry (129 citations), Aging (30 citations), Endocrinology, Diabetes and Metabolism (265 citations) and Epidemiology (530 citations). Xavier Escoté has collaborated with scholars based in Spain, Germany and United Kingdom. Frequent co-authors include Joan Vendrell, Josep Clotet, Francesc Posas, Josep M Del Bas-Prior, María J. Moreno‐Aliaga, Antoni Caimari, Sergio Quesada‐Vázquez, J. Alfredo Martínéz, Merce Miranda and Francisco J. Tinahones. Their work appears in journals such as International Journal of Molecular Sciences, Nutrients, PLoS ONE, Journal of Physiology and Biochemistry and Journal of Clinical Medicine.

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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2026