G. Slama

8.5k total citations · 1 hit paper
95 papers, 3.7k citations indexed

About

G. Slama is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Nutrition and Dietetics. According to data from OpenAlex, G. Slama has authored 95 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Endocrinology, Diabetes and Metabolism, 24 papers in Physiology and 15 papers in Nutrition and Dietetics. Recurrent topics in G. Slama's work include Diabetes Management and Research (33 papers), Diabetes Treatment and Management (19 papers) and Diet and metabolism studies (18 papers). G. Slama is often cited by papers focused on Diabetes Management and Research (33 papers), Diabetes Treatment and Management (19 papers) and Diet and metabolism studies (18 papers). G. Slama collaborates with scholars based in France, Canada and Belgium. G. Slama's co-authors include France Bellisle, Salwa W. Rizkalla, V. Láng, Thomas M.S. Wolever, Alison L. Gibbs, I. Björck, Fred Brouns, Keith N. Frayn, G. Saïd and A. M. Dalix and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Brain.

In The Last Decade

G. Slama

89 papers receiving 3.5k citations

Hit Papers

Glycaemic index methodology 2005 2026 2012 2019 2005 250 500 750
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. Glycaemic index methodology
    2005 795 citations V. Láng, G. Slama et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Slama France 30 1.5k 1.3k 1.3k 786 352 95 3.7k
Sophie Vinoy France 27 1.4k 0.9× 559 0.4× 1.4k 1.1× 947 1.2× 531 1.5× 59 3.3k
Janine Higgins United States 30 1.6k 1.1× 581 0.4× 587 0.5× 888 1.1× 320 0.9× 89 3.8k
Sebely Pal Australia 35 1.2k 0.8× 504 0.4× 526 0.4× 727 0.9× 653 1.9× 76 3.4k
Sally D. Poppitt New Zealand 35 2.1k 1.4× 731 0.6× 978 0.8× 1.2k 1.5× 772 2.2× 147 4.6k
Richard T. Tulley United States 26 946 0.6× 532 0.4× 595 0.5× 428 0.5× 464 1.3× 53 2.8k
Lila Missae Oyama Brazil 37 2.0k 1.3× 579 0.4× 808 0.6× 562 0.7× 771 2.2× 228 5.0k
Bärbel Otto Germany 29 1.6k 1.0× 672 0.5× 1.0k 0.8× 343 0.4× 307 0.9× 70 3.2k
Shuji Inoue Japan 35 1.4k 0.9× 895 0.7× 700 0.5× 407 0.5× 609 1.7× 180 4.6k
Karen L. Teff United States 38 2.5k 1.7× 2.2k 1.6× 867 0.7× 473 0.6× 462 1.3× 66 4.9k
Yuzo Sato Japan 33 1.3k 0.9× 1.1k 0.8× 321 0.3× 280 0.4× 1.1k 3.1× 164 4.3k

Countries citing papers authored by G. Slama

Since Specialization
Citations

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

Fields of papers citing papers by G. Slama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Slama

This figure shows the co-authorship network connecting the top 25 collaborators of G. Slama. A scholar is included among the top collaborators of G. Slama 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 G. Slama. G. Slama 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.
Lemogne, Cédric, A. Sola‐Gazagnes, Nicole Guédeney, et al.. (2010). Therapeutic alliance and glycaemic control in type 1 diabetes: A pilot study. Diabetes & Metabolism. 36(6). 499–502. 15 indexed citations
2.
Laaban, J, Simon Daenen, Damien Léger, et al.. (2009). Prevalence and predictive factors of sleep apnoea syndrome in type 2 diabetic patients. Diabetes & Metabolism. 35(5). 372–377. 82 indexed citations
3.
Slama, G., E Eschwège, André Grimaldi, et al.. (2008). Suivi sur un an dans les conditions de pratique courante d’une cohorte de patients diabétiques de type 2 traités par rosiglitazone : l’étude Avantage. Annales d Endocrinologie. 69(1). 36–46. 7 indexed citations
4.
Mann, J I, I. De Leeuw, Kjeld Hermansen, et al.. (2004). Evidence-based nutritional approaches to the treatment and prevention of diabetes mellitus. Nutrition Metabolism and Cardiovascular Diseases. 14(6). 373–394. 375 indexed citations
5.
Slama, G., et al.. (2003). Syndrome d'insulinorésistance : observer ou agir ?. Diabetes & Metabolism. 29(2). 35–310. 2 indexed citations
6.
Rizkalla, Salwa W., France Bellisle, & G. Slama. (2002). Health benefits of low glycaemic index foods, such as pulses, in diabetic patients and healthy individuals. British Journal Of Nutrition. 88(S3). 255–262. 202 indexed citations
7.
Kabir, Morvarid, et al.. (2002). Regulation of Glucose Transport and Transporter 4 (GLUT-4) in Muscle and Adipocytes of Sucrose-Fed Rats: Effects of N-3 Poly- and Monounsaturated Fatty Acids. Hormone and Metabolic Research. 34(7). 360–366. 53 indexed citations
8.
Gagnayre, Rémi, et al.. (2000). An analysis of the teaching techniques used in diabetic specialist consultations. Patient Education and Counseling. 39(2-3). 163–167. 1 indexed citations
9.
Drouin, P, Claire Lévy‐Marchal, C. Périer, et al.. (1999). HbA1c: concertation clinico-biologique pour la standardisation des méthodes de dosage. Rapport des experts de l'ALFEDIAM et de la SFBC.. Diabetes & Metabolism. 25(3). 3 indexed citations
10.
Láng, V., et al.. (1998). Satiating effect of proteins in healthy subjects: a comparison of egg albumin, casein, gelatin, soy protein, pea protein, and wheat gluten. American Journal of Clinical Nutrition. 67(6). 1197–1204. 97 indexed citations
11.
12.
Grimaldi, André, G. Slama, Nadia Tubiana‐Rufi, et al.. (1997). L'hypoglycemie du patient diabetique. Recommendations of ALFEDIAM (French Language Association for the Study of Diabetes and Metabolic Diseases.. Diabetes & Metabolism. 23(1). 2 indexed citations
13.
Bruzzo, F., G. Reach, F. Guyon, et al.. (1996). Comparison between a rapid glycohaemoglobin (HbA1c) immunoassay and other indices of glycaemic control. Acta Diabetologica. 33(3). 232–235. 4 indexed citations
14.
15.
Selam, J. L., Philippe Casassus, F. Bruzzo, Clara Leroy, & G. Slama. (1992). Exercise is not associated with better diabetes control in type 1 and type 2 diabetic subjects. Acta Diabetologica. 29(1). 11–13. 11 indexed citations
16.
Elgrably, F., Dominique Costagliola, A J Chwalow, et al.. (1991). Initiation of Insulin Treatment after 70 Years of Age: Patient Status 2 Years Later. Diabetic Medicine. 8(8). 773–777. 23 indexed citations
17.
Blayo, Anne, A M Fontvieille, Salwa W. Rizkalla, F. Bruzzo, & G. Slama. (1990). Metabolic effects of daily intake of sucrose or fructose by diabetics for one year.. 26(1). 11–14. 3 indexed citations
18.
Slama, G. & G Tchobroutsky. (1989). [Routes of insulin administration].. PubMed. 18(33). 1641–3. 1 indexed citations
19.
20.
Tchobroutsky, G, et al.. (1973). [Diabetic retinopathy and growth hormone secretion in 39 non insulin-dependant diabetic patients].. PubMed. 2(27). 1817–22. 1 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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