J.F. Ascaso

30 papers receiving 526 citations

Peers

J.F. Ascaso
Comparison fields: 5 of 66
  • Endocrinology, Diabetes and Metabolism 176
  • Nephrology 28
  • Surgery 119
  • Gastroenterology 14
  • Cardiology and Cardiovascular Medicine 51
Replace R H Neary with:
R H Neary United Kingdom
Laura Boero Argentina
I.J.A.M. Jonkers Netherlands
Gerald Klose Germany
Markus Trieb Austria
Theingi Aung United Kingdom
Inka Miñambres Spain
L.D. Dikkeschei Netherlands
Xiang Xie China
Takako Kikuchi Japan
J.F. Ascaso relative to R H Neary United Kingdom R H Neary's profile →
Citations per field
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R H Neary · 1×
Citations per year

Countries citing papers authored by J.F. Ascaso

Since Specialization
Citations

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

Fields of papers citing papers by J.F. Ascaso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.F. Ascaso. 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 J.F. Ascaso. The network helps show where J.F. Ascaso may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003160
2 201847
3 200937
4 200231
5 200931
6 200126
7 201025
8 201023
9
Impact of obesity in primary hyperlipidemias.
200123
10 200519
11
Ciprofibrate effects on carbohydrate and lipid metabolism in type 2 diabetes mellitus subjects.
200014
12
Effect of apolipoprotein E genotype on lipid levels and response to diet in familial hypercholesterolemia.
200014
13 201413
14 200813
15 200612
16 201210
17 201710
18 20219
19 20186
20 20066

About J.F. Ascaso

J.F. Ascaso is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine, Physiology and Cancer Research, having authored 35 papers that have together received 547 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Lipoproteins and Cardiovascular Health (5 papers), Lipid metabolism and disorders (5 papers), Cancer, Lipids, and Metabolism (3 papers), Health and Lifestyle Studies (3 papers), Diabetes Management and Research (2 papers), Diet and metabolism studies (2 papers) and Gout, Hyperuricemia, Uric Acid (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (176 citations), Nephrology (28 citations), Surgery (119 citations), Gastroenterology (14 citations) and Cardiology and Cardiovascular Medicine (51 citations). J.F. Ascaso has collaborated with scholars based in Spain, United States and Netherlands. Frequent co-authors include Rafael Carmena, Felipe Javier Chaves, Sergio Martínez‐Hervás, José M. Ordovás, Ana-Bárbara García-García, Josep Redón, Federico V. Pallardó, Juan R. Vinã, Antonia Priego and Miguel Civera. Their work appears in journals such as Nutrition Metabolism and Cardiovascular Diseases, European Journal of Clinical Investigation, Neurogastroenterology & Motility, Atherosclerosis and Diabetes Obesity and Metabolism.

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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