M. Cailleau

762 total citations
9 papers, 255 citations indexed

About

M. Cailleau is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Surgery. According to data from OpenAlex, M. Cailleau has authored 9 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 2 papers in Physiology and 1 paper in Surgery. Recurrent topics in M. Cailleau's work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Obstructive Sleep Apnea Research (2 papers) and Hormonal and reproductive studies (1 paper). M. Cailleau is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Obstructive Sleep Apnea Research (2 papers) and Hormonal and reproductive studies (1 paper). M. Cailleau collaborates with scholars based in France, Australia and Norway. M. Cailleau's co-authors include Beverley Balkau, Teresa A. Hillier, É. Eschwège, Sylviane Vol, A. Fagot‐Campagna, P. Valensi, Céline Lange, Jean Tichet, Anne‐Sophie Rousseau and M. Novak and has published in prestigious journals such as Diabetologia, International Journal of Epidemiology and Atherosclerosis.

In The Last Decade

M. Cailleau

8 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Cailleau France 7 105 71 70 49 45 9 255
Shen-Yuan Yuan China 8 167 1.6× 72 1.0× 81 1.2× 65 1.3× 31 0.7× 20 318
Benjamin Chih Chiang Lam Singapore 6 87 0.8× 116 1.6× 125 1.8× 148 3.0× 26 0.6× 11 354
Luli Xu China 5 112 1.1× 145 2.0× 39 0.6× 23 0.5× 21 0.5× 10 280
Jonathan Owen United States 9 37 0.4× 47 0.7× 104 1.5× 13 0.3× 59 1.3× 20 250
Toru Matsudaira Japan 10 159 1.5× 56 0.8× 95 1.4× 90 1.8× 27 0.6× 16 355
Wanda M. Admiraal Netherlands 10 97 0.9× 84 1.2× 221 3.2× 59 1.2× 85 1.9× 12 411
Domenico Labriola Italy 8 43 0.4× 55 0.8× 56 0.8× 38 0.8× 58 1.3× 17 309
Hironari Sano Japan 9 159 1.5× 55 0.8× 91 1.3× 89 1.8× 38 0.8× 17 342
Rosane Kupfer Brazil 13 259 2.5× 63 0.9× 50 0.7× 33 0.7× 101 2.2× 25 430
Frank Corrigan United States 12 28 0.3× 189 2.7× 40 0.6× 31 0.6× 41 0.9× 24 306

Countries citing papers authored by M. Cailleau

Since Specialization
Citations

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

Fields of papers citing papers by M. Cailleau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Cailleau

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

All Works

9 of 9 papers shown
1.
Valensi, P., Fabrice Extramiana, Céline Lange, et al.. (2010). Influence of blood glucose on heart rate and cardiac autonomic function. The DESIR study. Diabetic Medicine. 28(4). 440–449. 29 indexed citations
2.
Vol, Sylviane, Beverley Balkau, Céline Lange, et al.. (2009). Chez qui dépister le diabète de type 2 en France ? Un score prédictif issu de l’étude prospective D.E.S.I.R.. Médecine des Maladies Métaboliques. 3(2). 198–202.
3.
Meslier, Nicole, Sylviane Vol, B. Balkau, et al.. (2009). Prevalence of the symptoms of obstructive sleep apnoea. Study in a French, middle-aged population. 1 indexed citations
4.
Meslier, Nicole, Sylviane Vol, Beverley Balkau, et al.. (2007). Prévalence des symptômes du syndrome d’apnées du sommeil. Étude dans une population française d’âge moyen. Revue des Maladies Respiratoires. 24(3). 305–313. 32 indexed citations
5.
Hillier, Teresa A., Anne‐Sophie Rousseau, Céline Lange, et al.. (2006). Practical way to assess metabolic syndrome using a continuous score obtained from principal components analysis. Diabetologia. 49(7). 1528–1535. 65 indexed citations
6.
Tapp, Robyn J., Beverley Balkau, Jonathan E. Shaw, et al.. (2006). Association of glucose metabolism, smoking and cardiovascular risk factors with incident peripheral arterial disease: The DESIR study. Atherosclerosis. 190(1). 84–89. 38 indexed citations
7.
Hillier, Teresa A., A. Fagot‐Campagna, É. Eschwège, et al.. (2005). Weight change and changes in the metabolic syndrome as the French population moves towards overweight: The D.E.S.I.R. Cohort. International Journal of Epidemiology. 35(1). 190–196. 63 indexed citations
8.
Balkau, B., et al.. (2005). Prescreening tools for diabetes and obesity-associated dyslipidaemia: comparing BMI, waist and waist hip ratio. The D.E.S.I.R. Study. European Journal of Clinical Nutrition. 60(3). 295–304. 21 indexed citations
9.
Cogneau, Joël, et al.. (2002). Enquête de motivation sur la participation des médecins à une recherche en santé publique. Santé Publique. Vol. 14(2). 191–199. 6 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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