Xavier Palomer

87 papers receiving 4.8k citations

Xavier Palomer's Hit Papers

Palmitic and Oleic Acid: The Yin and Yang of Fatty Acids in Type 2 Diabetes Mellitus 2017 · 403 citations
4030+3+6Years since publication100200300400

Peers

Xavier Palomer
Comparison fields: 5 of 122
  • Physiology 1.6k
  • Geriatrics and Gerontology 226
  • Biochemistry 299
  • Epidemiology 1.2k
  • Molecular Biology 2.4k
Replace Wenhong Cao with:
Wenhong Cao China
Hideyuki Sakoda Japan
Jinhan He China
Thomas Pulinilkunnil Canada
Shaodong Guo United States
Hui Xie China
Jaswinder K. Sethi United Kingdom
Ángela M. Valverde Spain
Katsutaro Morino Japan
Juan C. Laguna Spain
Xavier Palomer relative to Wenhong Cao China Wenhong Cao's profile →
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Citations per year

Countries citing papers authored by Xavier Palomer

Since Specialization
Citations

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

Fields of papers citing papers by Xavier Palomer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Palmitic and Oleic Acid: The Yin and Yang of Fatty Acids in Type 2 Diabetes Mellitus
Hit paper breakdown →
2017403
2 2007384
3 2008292
4 2013238
5 2015183
6 2013174
7 2010166
8 2008150
9 2020136
10 2011133
11 2006122
12 2008100
13 201792
14 201488
15 201882
16 201877
17 201077
18 202075
19 202172
20 201169

About Xavier Palomer

Xavier Palomer is a scholar working on Molecular Biology, Physiology, Epidemiology, Surgery and Cardiology and Cardiovascular Medicine, having authored 87 papers that have together received 4.9k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (33 papers), Adipose Tissue and Metabolism (29 papers), Metabolism, Diabetes, and Cancer (16 papers), Pancreatic function and diabetes (15 papers), Liver Disease Diagnosis and Treatment (12 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Endoplasmic Reticulum Stress and Disease (9 papers) and Sirtuins and Resveratrol in Medicine (7 papers). The work is most often cited by research in Physiology (1.6k citations), Geriatrics and Gerontology (226 citations), Biochemistry (299 citations), Epidemiology (1.2k citations) and Molecular Biology (2.4k citations). Xavier Palomer has collaborated with scholars based in Spain, Switzerland and France. Frequent co-authors include Manuel Vázquez‐Carrera, Emma Barroso, Javier Pizarro‐Delgado, Teresa Coll, Laia Salvadó, Francisco Blanco‐Vaca, Ricardo Rodríguez‐Calvo, Juan C. Laguna, Walter Wahli and Dı́dac Mauricio. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Cell Communication and Signaling, Diabetes, Trends in Pharmacological Sciences and Diabetologia.

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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