May Faraj

3.1k total citations
57 papers, 2.4k citations indexed

About

May Faraj is a scholar working on Physiology, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, May Faraj has authored 57 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Physiology, 27 papers in Epidemiology and 15 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in May Faraj's work include Adipokines, Inflammation, and Metabolic Diseases (24 papers), Adipose Tissue and Metabolism (20 papers) and Diet and metabolism studies (13 papers). May Faraj is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (24 papers), Adipose Tissue and Metabolism (20 papers) and Diet and metabolism studies (13 papers). May Faraj collaborates with scholars based in Canada, France and United States. May Faraj's co-authors include Rémi Rabasa‐Lhoret, Allan D. Sniderman, Denis Prud’homme, Antony D. Karelis, Katherine Cianflone, Martin Brochu, Jean‐Philippe Bastard, David H. St‐Pierre, David Blank and Peter J. Havel and has published in prestigious journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

May Faraj

56 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
May Faraj Canada 25 1.1k 839 634 533 473 57 2.4k
R. Conde Spain 23 1.1k 1.0× 977 1.2× 708 1.1× 390 0.7× 503 1.1× 134 2.3k
Emmanuel Disse France 28 934 0.8× 522 0.6× 560 0.9× 1.1k 2.0× 527 1.1× 92 2.8k
Christian Anderwald Austria 32 1.3k 1.1× 835 1.0× 1.1k 1.7× 698 1.3× 985 2.1× 76 3.2k
Barbora Vozarova United States 14 1.2k 1.0× 1.6k 1.9× 712 1.1× 314 0.6× 479 1.0× 17 3.1k
Stella P. Kim United States 19 892 0.8× 628 0.7× 657 1.0× 362 0.7× 486 1.0× 30 2.0k
Akira Katsuki Japan 26 816 0.7× 826 1.0× 703 1.1× 238 0.4× 476 1.0× 37 2.4k
Nobuhiro Shojima Japan 24 654 0.6× 589 0.7× 594 0.9× 377 0.7× 829 1.8× 39 2.3k
Paska A. Permana United States 26 1.1k 1.0× 823 1.0× 567 0.9× 269 0.5× 862 1.8× 52 2.6k
Camilla Verdich Denmark 16 1.5k 1.3× 874 1.0× 579 0.9× 350 0.7× 338 0.7× 19 2.6k
Sari Mäkimattila Finland 30 836 0.7× 628 0.7× 1.1k 1.8× 465 0.9× 686 1.5× 52 3.1k

Countries citing papers authored by May Faraj

Since Specialization
Citations

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

Fields of papers citing papers by May Faraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of May Faraj

This figure shows the co-authorship network connecting the top 25 collaborators of May Faraj. A scholar is included among the top collaborators of May Faraj 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 May Faraj. May Faraj 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
2.
Bilodeau, Laurent, Catherine Huët, Assia Belblidia, et al.. (2023). IL-6 Trans-Signaling Is Increased in Diabetes, Impacted by Glucolipotoxicity, and Associated With Liver Stiffness and Fibrosis in Fatty Liver Disease. Diabetes. 72(12). 1820–1834. 14 indexed citations
3.
Devaux, Marie‐Françoise, et al.. (2023). Sex-Specific Models to Predict Insulin Secretion and Sensitivity in Subjects with Overweight and Obesity. International Journal of Molecular Sciences. 24(7). 6130–6130. 2 indexed citations
4.
Besse‐Patin, Aurèle, Annie Demers, Martin Wabitsch, et al.. (2021). Lower plasma PCSK9 in normocholesterolemic subjects is associated with upregulated adipose tissue surface‐expression of LDLR and CD36 and NLRP3 inflammasome. Physiological Reports. 9(3). e14721–e14721. 16 indexed citations
5.
Wassef, Hanny, Emmanuelle Loizon, Hubert Vidal, et al.. (2020). White Adipose Tissue Surface Expression of LDLR and CD36 is Associated with Risk Factors for Type 2 Diabetes in Adults with Obesity. Obesity. 28(12). 2357–2367. 19 indexed citations
6.
Faraj, May, et al.. (2019). Increased fiber intake predicts the decrease in 2nd phase glucose-induced hyperinsulinemia following a hypocaloric diet in obese subjects. Nutrition Metabolism and Cardiovascular Diseases. 29(5). 504–512. 4 indexed citations
8.
Leroux, Catherine, et al.. (2018). High plasma apolipoprotein B identifies obese subjects who best ameliorate white adipose tissue dysfunction and glucose-induced hyperinsulinemia after a hypocaloric diet. American Journal of Clinical Nutrition. 108(1). 62–76. 12 indexed citations
10.
Bonneau, Jessica, Guylaine Ferland, Antony D. Karelis, et al.. (2017). Association between osteocalcin gamma-carboxylation and insulin resistance in overweight and obese postmenopausal women. Journal of Diabetes and its Complications. 31(6). 1027–1034. 25 indexed citations
11.
Wassef, Hanny, et al.. (2016). WAT apoC-I secretion: role in delayed chylomicron clearance in vivo and ex vivo in WAT in obese subjects. Journal of Lipid Research. 57(6). 1074–1085. 9 indexed citations
12.
Wassef, Hanny, et al.. (2015). Plasma IL-1Ra: linking hyperapoB to risk factors for type 2 diabetes independent of obesity in humans. Nutrition and Diabetes. 5(9). e180–e180. 25 indexed citations
13.
Awan, Zuhier, Geneviève Dubuc, May Faraj, et al.. (2014). The effect of insulin on circulating PCSK9 in postmenopausal obese women. Clinical Biochemistry. 47(12). 1033–1039. 47 indexed citations
14.
St-Onge, Maxime, Rémi Rabasa‐Lhoret, Irène Strychar, et al.. (2012). Impact of energy restriction with or without resistance training on energy metabolism in overweight and obese postmenopausal women. Menopause The Journal of The North American Menopause Society. 20(2). 194–201. 16 indexed citations
15.
Lavoie, Marie-Ève, May Faraj, Irène Strychar, et al.. (2012). Synergistic associations of physical activity and diet quality on cardiometabolic risk factors in overweight and obese postmenopausal women. British Journal Of Nutrition. 109(4). 605–614. 20 indexed citations
16.
Faraj, May, AD Karelis, Lyne Messier, et al.. (2007). Relationship between the hyperinsulinemic–euglycaemic clamp and a new simple index assessing insulin sensitivity in overweight and obese postmenopausal women. Diabetes & Metabolism. 33(4). 261–268. 58 indexed citations
17.
Faraj, May, Emmanuelle Loizon, Marthe Moldes, et al.. (2006). Insulin regulation of gene expression and concentrations of white adipose tissue-derived proteins in vivo in healthy men: relation to adiponutrin. Journal of Endocrinology. 191(2). 427–435. 22 indexed citations
18.
Faraj, May, et al.. (2006). Apolipoprotein B: a predictor of inflammatory status in postmenopausal overweight and obese women. Diabetologia. 49(7). 1637–1646. 68 indexed citations
19.
Faraj, May, Allan D. Sniderman, & Katherine Cianflone. (2004). ASP enhances in situ lipoprotein lipase activity by increasing fatty acid trapping in adipocytes. Journal of Lipid Research. 45(4). 657–666. 66 indexed citations
20.
Faraj, May, et al.. (2003). Plasma Acylation-Stimulating Protein, Adiponectin, Leptin, and Ghrelin before and after Weight Loss Induced by Gastric Bypass Surgery in Morbidly Obese Subjects. The Journal of Clinical Endocrinology & Metabolism. 88(4). 1594–1602. 410 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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