F X Pi-Sunyer

1.7k total citations
27 papers, 1.2k citations indexed

About

F X Pi-Sunyer is a scholar working on Physiology, Cell Biology and Surgery. According to data from OpenAlex, F X Pi-Sunyer has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Physiology, 8 papers in Cell Biology and 6 papers in Surgery. Recurrent topics in F X Pi-Sunyer's work include Diet and metabolism studies (10 papers), Muscle metabolism and nutrition (8 papers) and Adipose Tissue and Metabolism (7 papers). F X Pi-Sunyer is often cited by papers focused on Diet and metabolism studies (10 papers), Muscle metabolism and nutrition (8 papers) and Adipose Tissue and Metabolism (7 papers). F X Pi-Sunyer collaborates with scholars based in United States, Belgium and France. F X Pi-Sunyer's co-authors include K. R. Segal, Bernard Gutin, Jeanine Albu, Andreas Nyman, Andrea Dunaif, RN Pierson, Mark N. Feinglos, Mohammed Saad, TB Van Itallie and J. Thornton and has published in prestigious journals such as Journal of Clinical Investigation, American Journal of Clinical Nutrition and Diabetes.

In The Last Decade

F X Pi-Sunyer

26 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
F X Pi-Sunyer United States 17 740 300 270 254 207 27 1.2k
B Frey-Hewitt United States 7 576 0.8× 233 0.8× 187 0.7× 397 1.6× 123 0.6× 7 1.1k
D. Freymond Switzerland 9 1.1k 1.5× 341 1.1× 335 1.2× 410 1.6× 243 1.2× 16 1.8k
A Nadeau Canada 13 660 0.9× 537 1.8× 121 0.4× 412 1.6× 169 0.8× 20 1.5k
E. T. Poehlman United States 22 1.0k 1.4× 303 1.0× 350 1.3× 435 1.7× 66 0.3× 29 1.7k
Paul Foster Australia 9 735 1.0× 186 0.6× 229 0.8× 487 1.9× 84 0.4× 12 1.1k
Raymond D. Starling United States 24 920 1.2× 164 0.5× 421 1.6× 290 1.1× 53 0.3× 40 1.5k
J. A. Tuominen Finland 20 510 0.7× 430 1.4× 194 0.7× 74 0.3× 210 1.0× 30 1.3k
Carol A. Maggio United States 12 495 0.7× 419 1.4× 53 0.2× 199 0.8× 162 0.8× 14 1.1k
T Lloyd United States 20 463 0.6× 199 0.7× 112 0.4× 393 1.5× 131 0.6× 28 1.5k
Luis Forga Spain 16 608 0.8× 328 1.1× 158 0.6× 169 0.7× 88 0.4× 40 1.2k

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
1.
Mather, Kieren J., Christopher Christophi, K. A. Jablonski, et al.. (2012). Common variants in genes encoding adiponectin (ADIPOQ) and its receptors (ADIPOR1/2), adiponectin concentrations, and diabetes incidence in the Diabetes Prevention Program. Diabetic Medicine. 29(12). 1579–1588. 23 indexed citations
2.
Pratley, Richard E., Anja Schweizer, Julio Rosenstock, et al.. (2008). Robust improvements in fasting and prandial measures of β‐cell function with vildagliptin in drug‐naïve patients: analysis of pooled vildagliptin monotherapy database. Diabetes Obesity and Metabolism. 10(10). 931–938. 61 indexed citations
3.
Scheen, André, Jean‐Pierre Després, F X Pi-Sunyer, & L. Van Gaal. (2006). 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. European Heart Journal. 27.
4.
Després, Jean‐Pierre, L. Van Gaal, A J Scheen, & F X Pi-Sunyer. (2006). We-W42:3 Rimonabant improves cardiometabolic risk factors in overweight/obese patients irrespective of treatment with statins: Pooled data from the RIO program. Atherosclerosis Supplements. 7(3). 329–329. 4 indexed citations
5.
Feinglos, Mark N., et al.. (2005). Effects of liraglutide (NN2211), a long‐acting GLP‐1 analogue, on glycaemic control and bodyweight in subjects with Type 2 diabetes. Diabetic Medicine. 22(8). 1016–1023. 115 indexed citations
6.
Berk, Evan S., et al.. (2005). Adiponectin Levels during Low‐ and High‐Fat Eucaloric Diets in Lean and Obese Women. Obesity Research. 13(9). 1566–1571. 22 indexed citations
7.
Laferrère, Blandine, et al.. (2000). Total Body Calcium in Obese Women: Validation of Dual‐Energy X‐ray Absorptiometry against in Vivo Neutron Activation Analysis. Annals of the New York Academy of Sciences. 904(1). 507–513. 1 indexed citations
8.
Pi-Sunyer, F X. (1996). A review of long-term studies evaluating the efficacy of weight loss in ameliorating disorders associated with obesity. Clinical Therapeutics. 18(6). 1006–1035. 165 indexed citations
9.
Segal, K. R., et al.. (1992). Independent effects of obesity and insulin resistance on postprandial thermogenesis in men.. Journal of Clinical Investigation. 89(3). 824–833. 59 indexed citations
10.
Segal, K. R., et al.. (1990). Comparison of thermic effects of constant and relative caloric loads in lean and obese men. American Journal of Clinical Nutrition. 51(1). 14–21. 55 indexed citations
11.
Segal, K. R., et al.. (1989). Impact of body fat mass and percent fat on metabolic rate and thermogenesis in men. American Journal of Physiology-Endocrinology and Metabolism. 256(5). E573–E579. 46 indexed citations
12.
Segal, K. R., Andrea Dunaif, Bernard Gutin, et al.. (1987). Body composition, not body weight, is related to cardiovascular disease risk factors and sex hormone levels in men.. Journal of Clinical Investigation. 80(4). 1050–1055. 124 indexed citations
13.
Segal, K. R., Bernard Gutin, Andreas Nyman, & F X Pi-Sunyer. (1985). Thermic effect of food at rest, during exercise, and after exercise in lean and obese men of similar body weight.. Journal of Clinical Investigation. 76(3). 1107–1112. 108 indexed citations
14.
Colţ, E, et al.. (1985). Lack of sustained increase in VO2 following exercise in fit and unfit subjects. American Journal of Clinical Nutrition. 41(3). 545–549. 69 indexed citations
15.
Woo, R, Harry R. Kissileff, & F X Pi-Sunyer. (1984). Elevated postprandial insulin levels do not induce satiety in normal-weight humans. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 247(4). R745–R749. 33 indexed citations
16.
Thornton, J., et al.. (1983). Prediction of the resting metabolic rate in obese patients. American Journal of Clinical Nutrition. 37(4). 595–602. 149 indexed citations
17.
Pi-Sunyer, F X. (1976). Jejunoileal bypass surgery for obesity. American Journal of Clinical Nutrition. 29(4). 409–416. 11 indexed citations
18.
Pi-Sunyer, F X, et al.. (1976). Glucagon, insulin, and gluconeogenesis in fasted odd carbon fatty acid-enriched rats. American Journal of Physiology-Legacy Content. 231(2). 366–369. 6 indexed citations
19.
Pi-Sunyer, F X. (1975). Effect of Long- and Medium-Chain Fatty Acids on Insulin Secretion from Pieces of Rat Pancreas. Experimental Biology and Medicine. 149(3). 693–697. 5 indexed citations
20.

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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