F X Pi-Sunyer

1.7k citations
27 papers · 1.2k indexed · h-index 17
Topics
Diet and metabolism studies (10 papers)Muscle metabolism and nutrition (8 papers)Adipose Tissue and Metabolism (7 papers)

In The Last Decade

F X Pi-Sunyer

26 papers receiving 1.1k citations

Peers

F X Pi-Sunyer
Comparison fields: 5 of 99
  • Physiology 740
  • Endocrinology, Diabetes and Metabolism 300
  • Cell Biology 270
  • Public Health, Environmental and Occupational Health 254
  • Surgery 207
Replace B Frey-Hewitt with:
B Frey-Hewitt United States
A Nadeau Canada
C. Bogardus United States
ET Poehlman United States
E. T. Poehlman United States
D. Freymond Switzerland
Luis Forga Spain
D C Muller United States
Raymond D. Starling United States
Paul Foster Australia
F X Pi-Sunyer relative to B Frey-Hewitt United States B Frey-Hewitt's profile →
Citations per field
00.5×4.6×
B Frey-Hewitt · 1×
Citations per year

Countries citing papers authored by F X Pi-Sunyer

Since Specialization
Citations

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

Fields of papers citing papers by F X Pi-Sunyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F X Pi-Sunyer. 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 F X Pi-Sunyer. The network helps show where F X Pi-Sunyer may publish in the future.

Co-authorship network of co-authors of F X Pi-Sunyer

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 23
2 61
3
Rimonabant improves multiple cardiometabolic risk factors in diabetic and non-diabetic overweight/obese patients: data from RIO-diabetes, RIO-Europe, RIO-North America and RIO-Lipids
0
4 4
5 115
6 22
7 1
8 165
9 59
10 55
11 46
12 124
13 69
14 108
15 33
16 149
17 11
18 6
19 5
20 5

About F X Pi-Sunyer

F X Pi-Sunyer is a scholar working on Physiology, Endocrine and Autonomic Systems and Cell Biology, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diet and metabolism studies (10 papers), Muscle metabolism and nutrition (8 papers) and Adipose Tissue and Metabolism (7 papers). The work is most often cited by research in Physiology (740 citations), Endocrinology, Diabetes and Metabolism (300 citations) and Cell Biology (270 citations). F X Pi-Sunyer has collaborated with scholars based in United States, Belgium and Guatemala. Frequent co-authors include K. R. Segal, Bernard Gutin, Jeanine Albu, Andreas Nyman, Andrea Dunaif, TB Van Itallie, Mohammed Saad, Bob An, J. Thornton and RN Pierson. Their work appears in journals such as Journal of Clinical Investigation, American Journal of Clinical Nutrition and Diabetes.

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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