Sergio Polakof

4.4k total citations · 1 hit paper
89 papers, 3.6k citations indexed

About

Sergio Polakof is a scholar working on Physiology, Aquatic Science and Molecular Biology. According to data from OpenAlex, Sergio Polakof has authored 89 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Physiology, 29 papers in Aquatic Science and 25 papers in Molecular Biology. Recurrent topics in Sergio Polakof's work include Aquaculture Nutrition and Growth (29 papers), Diet and metabolism studies (28 papers) and Adipose Tissue and Metabolism (19 papers). Sergio Polakof is often cited by papers focused on Aquaculture Nutrition and Growth (29 papers), Diet and metabolism studies (28 papers) and Adipose Tissue and Metabolism (19 papers). Sergio Polakof collaborates with scholars based in France, Spain and Morocco. Sergio Polakof's co-authors include José L. Soengas, Stéphane Panserat, Thomas W. Moon, Jesús M. Míguez, Sandrine Skiba‐Cassy, Thomas P. Mommsen, Sadasivam Kaushik, Françoise Médale, Susana Sangiao‐Alvarellos and Dominique Dardevet and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Nutrition.

In The Last Decade

Sergio Polakof

88 papers receiving 3.6k citations

Hit Papers

Glucose metabolism in fish: a review 2012 2026 2016 2021 2012 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Glucose metabolism in fish: a review
    2012 704 citations Sergio Polakof, Stéphane Panserat et al. Journal of Comparative Physiology B profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergio Polakof France 34 2.4k 1.5k 1.0k 718 681 89 3.6k
Mark A. Sheridan United States 39 2.8k 1.2× 1.4k 0.9× 1.2k 1.2× 505 0.7× 487 0.7× 132 5.1k
Xu‐Fang Liang China 33 2.2k 0.9× 1.6k 1.1× 481 0.5× 325 0.5× 420 0.6× 234 3.7k
Erika M. Plisetskaya United States 45 2.5k 1.1× 1.1k 0.7× 794 0.8× 399 0.6× 726 1.1× 93 4.8k
Sandrine Skiba‐Cassy France 33 2.0k 0.9× 1.4k 0.9× 532 0.5× 299 0.4× 148 0.2× 68 2.8k
Russell J. Borski United States 36 1.5k 0.6× 614 0.4× 883 0.9× 314 0.4× 463 0.7× 77 3.2k
Nuria de Pedro Spain 32 994 0.4× 562 0.4× 473 0.5× 507 0.7× 1.2k 1.8× 80 3.0k
Kari Ruohonen Finland 36 2.0k 0.9× 997 0.7× 652 0.6× 681 0.9× 235 0.3× 87 4.0k
Iban Seiliez France 37 2.2k 0.9× 1.5k 1.0× 575 0.6× 536 0.7× 110 0.2× 76 4.3k
Scott P. Kelly Canada 33 1.6k 0.7× 1.1k 0.7× 1.8k 1.8× 201 0.3× 343 0.5× 96 3.5k
Shunsuke Moriyama Japan 33 1.7k 0.7× 589 0.4× 822 0.8× 240 0.3× 445 0.7× 100 3.7k

Countries citing papers authored by Sergio Polakof

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Polakof

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergio Polakof

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Polakof. A scholar is included among the top collaborators of Sergio Polakof 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 Sergio Polakof. Sergio Polakof 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.
Mariotti, François, Marie Tremblay‐Franco, Véronique Mathé, et al.. (2024). Increasing plant protein in the diet induces changes in the plasma metabolome that may be beneficial for metabolic health. A randomized crossover study in males. Clinical Nutrition. 43(12). 146–157.
2.
Tremblay‐Franco, Marie, Catherine Tardivel, Hélène Fouillet, et al.. (2023). Plasma Metabolome Analysis Suggests That L-Arginine Supplementation Affects Microbial Activity Resulting in a Decrease in Trimethylamine N-oxide—A Randomized Controlled Trial in Healthy Overweight Adults with Cardiometabolic Risk Factors. Current Developments in Nutrition. 7(12). 102038–102038. 3 indexed citations
3.
4.
Dardevet, Dominique, Laurent Mosoni, Isabelle Savary‐Auzeloux, et al.. (2020). Important determinants to take into account to optimize protein nutrition in the elderly: solutions to a complex equation. Proceedings of The Nutrition Society. 80(2). 207–220. 23 indexed citations
5.
Cluzet, Stéphanie, Stéphanie Krisa, Isabelle Papet, et al.. (2018). Effects of nutritional state, aging and high chronic intake of sucrose on brain protein synthesis in rats: modulation of it by rutin and other micronutrients. Food & Function. 9(5). 2922–2930. 5 indexed citations
6.
Dardevet, Dominique, et al.. (2018). Fructose Feeding during the Postabsorptive State Alters Body Composition and Spares Nitrogen in Protein-Energy-Restricted Old Rats. Journal of Nutrition. 148(1). 40–48. 2 indexed citations
7.
Peyron, Marie‐Agnès, Isabelle Papet, Noureddine Hafnaoui, et al.. (2017). At same leucine intake, a whey/plant protein blend is not as effective as whey to initiate a transient post prandial muscle anabolic response during a catabolic state in mini pigs. PLoS ONE. 12(10). e0186204–e0186204. 4 indexed citations
8.
Polakof, Sergio & Stéphane Panserat. (2015). How Tom Moon's research highlighted the question of glucose tolerance in carnivorous fish. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 199. 43–49. 33 indexed citations
9.
Polakof, Sergio, M Díaz-Rubio, Dominique Dardevet, et al.. (2013). Resistant starch intake partly restores metabolic and inflammatory alterations in the liver of high-fat-diet-fed rats. The Journal of Nutritional Biochemistry. 24(11). 1920–1930. 52 indexed citations
10.
Librán-Pérez, Marta, Stéphane Panserat, Inge Geurden, et al.. (2012). Response of hepatic lipid and glucose metabolism to a mixture or single fatty acids: Possible presence of fatty acid-sensing mechanisms. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 164(1). 241–248. 27 indexed citations
11.
Polakof, Sergio, Françoise Médale, Laurence Larroquet, et al.. (2011). Regulation of de novo hepatic lipogenesis by insulin infusion in rainbow trout fed a high-carbohydrate diet1. Journal of Animal Science. 89(10). 3079–3088. 34 indexed citations
12.
Polakof, Sergio, Jesús M. Míguez, & José L. Soengas. (2011). Evidence for a Gut-Brain Axis Used by Glucagon-like Peptide-1 to Elicit Hyperglycaemia in Fish. Journal of Neuroendocrinology. 23(6). 508–518. 42 indexed citations
13.
Conde‐Sieira, Marta, et al.. (2010). Central leptin treatment modulates brain glucosensing function and peripheral energy metabolism of rainbow trout. Peptides. 31(6). 1044–1054. 57 indexed citations
14.
Lansard, Marine, Stéphane Panserat, Iban Seiliez, et al.. (2009). Hepatic protein kinase B (Akt)–target of rapamycin (TOR)-signalling pathways and intermediary metabolism in rainbow trout (Oncorhynchus mykiss) are not significantly affected by feeding plant-based diets. British Journal Of Nutrition. 102(11). 1564–1573. 79 indexed citations
15.
Vargas‐Chacoff, Luis, et al.. (2009). Interactive effects of environmental salinity and temperature on metabolic responses of gilthead sea bream Sparus aurata. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 154(3). 417–424. 66 indexed citations
16.
Polakof, Sergio, Jesús M. Míguez, & José L. Soengas. (2008). Dietary carbohydrates induce changes in glucosensing capacity and food intake of rainbow trout. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 295(2). R478–R489. 106 indexed citations
17.
Polakof, Sergio & José L. Soengas. (2008). Differential effects of in vivo and in vitro lactate treatments on liver carbohydrate metabolism of rainbow trout. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 151(2). 205–210. 1 indexed citations
18.
Polakof, Sergio, Jesús M. Míguez, & José L. Soengas. (2007). In vitro evidences for glucosensing capacity and mechanisms in hypothalamus, hindbrain, and Brockmann bodies of rainbow trout. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 293(3). R1410–R1420. 55 indexed citations
19.
Polakof, Sergio, et al.. (2006). Food deprivation alters osmoregulatory and metabolic responses to salinity acclimation in gilthead sea bream Sparus auratus. Journal of Comparative Physiology B. 176(5). 441–452. 121 indexed citations
20.
Polakof, Sergio, Jesús M. Míguez, Thomas W. Moon, & José L. Soengas. (2006). Evidence for the presence of a glucosensor in hypothalamus, hindbrain, and Brockmann bodies of rainbow trout. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 292(4). R1657–R1666. 87 indexed citations

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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