R. Aubert

1.2k total citations
28 papers, 791 citations indexed

About

R. Aubert is a scholar working on Physiology, Immunology and Endocrine and Autonomic Systems. According to data from OpenAlex, R. Aubert has authored 28 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 6 papers in Immunology and 5 papers in Endocrine and Autonomic Systems. Recurrent topics in R. Aubert's work include Adipose Tissue and Metabolism (7 papers), Psoriasis: Treatment and Pathogenesis (6 papers) and Regulation of Appetite and Obesity (5 papers). R. Aubert is often cited by papers focused on Adipose Tissue and Metabolism (7 papers), Psoriasis: Treatment and Pathogenesis (6 papers) and Regulation of Appetite and Obesity (5 papers). R. Aubert collaborates with scholars based in France, United States and Thailand. R. Aubert's co-authors include Frédéric Fumeron, D. Betoulle, Bernard Herbeth, Gérard Siest, Daniel Lemonnier, Franck Péan, G Rosselin, Alexandra Petiet, N. Colas-Linhart and Jean Tichet and has published in prestigious journals such as Journal of Clinical Oncology, American Journal of Clinical Nutrition and Diabetes.

In The Last Decade

R. Aubert

27 papers receiving 768 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Aubert France 12 321 315 309 186 108 28 791
Gillian E. Walker Italy 16 267 0.8× 259 0.8× 335 1.1× 204 1.1× 74 0.7× 34 953
Alessandro Minocci Italy 13 232 0.7× 279 0.9× 271 0.9× 71 0.4× 194 1.8× 22 892
Kerstin Wåhlén Sweden 13 108 0.3× 404 1.3× 431 1.4× 65 0.3× 126 1.2× 14 937
LJ Murphy Canada 6 206 0.6× 349 1.1× 272 0.9× 39 0.2× 43 0.4× 6 662
Janet M. Bryson Australia 17 184 0.6× 232 0.7× 386 1.2× 118 0.6× 120 1.1× 32 1.1k
Andrew Whatmore United Kingdom 20 289 0.9× 150 0.5× 244 0.8× 164 0.9× 231 2.1× 51 1.1k
Giovanna Scartabelli Italy 12 193 0.6× 135 0.4× 253 0.8× 65 0.3× 69 0.6× 18 863
Greeshma K. Shetty United States 5 229 0.7× 360 1.1× 248 0.8× 57 0.3× 26 0.2× 5 587
Kazuyo Kakui Japan 14 291 0.9× 288 0.9× 308 1.0× 114 0.6× 62 0.6× 32 1.0k
Jefferson P. Lomenick United States 14 106 0.3× 114 0.4× 134 0.4× 54 0.3× 62 0.6× 20 579

Countries citing papers authored by R. Aubert

Since Specialization
Citations

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

Fields of papers citing papers by R. Aubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Aubert

This figure shows the co-authorship network connecting the top 25 collaborators of R. Aubert. A scholar is included among the top collaborators of R. Aubert 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 R. Aubert. R. Aubert 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.
Richard, M.‐A., M. Saint Aroman, Stéphanie Mérhand, et al.. (2023). Burden of visible [face and hands] skin diseases: Results from a large international survey. Annales de Dermatologie et de Vénéréologie. 150(2). 95–100. 8 indexed citations
2.
Maruani, A., R. Aubert, M. Beylot‐Barry, et al.. (2021). Impact of the COVID-19 pandemic on children with psoriasis. Annales de Dermatologie et de Vénéréologie. 148(2). 106–111. 8 indexed citations
3.
Misery, L., Jason Shourick, Julien Sénéschal, et al.. (2020). Use of mind‐body practices by patients with psoriasis: results from a study on 2562 patients. Journal of the European Academy of Dermatology and Venereology. 35(4). e305–e307. 2 indexed citations
4.
Richard, M.‐A., C. Paul, Gérard de Pouvourville, et al.. (2020). Out‐of‐pocket expenditures in France to manage psoriasis in adult patients: results from an observational, cross‐sectional, non‐comparative, multicentre study. Journal of the European Academy of Dermatology and Venereology. 35(4). 912–918. 4 indexed citations
5.
Jullien, D., C. Paul, Jason Shourick, et al.. (2020). Psoriasis: frequency and reasons for absenteeism results from a study on 1609 active patients. Journal of the European Academy of Dermatology and Venereology. 35(4). e301–e303. 2 indexed citations
6.
Aubert, R., Beverley Balkau, Fabrice Bonnet, et al.. (2016). T-cadherin gene variants are associated with type 2 diabetes and the Fatty Liver Index in the French population. Diabetes & Metabolism. 43(1). 33–39. 14 indexed citations
7.
Khalil, Charbel Abi, Kamel Mohammedi, R. Aubert, et al.. (2011). Intensifying glycaemic control with insulin reduces adiponectin and its HMW isoform moderately in type 2, but not in type 1, diabetes. Diabetes & Metabolism. 37(3). 259–261. 5 indexed citations
8.
Bonnet, Fabrice, Beverley Balkau, Christoph Lange, et al.. (2009). Sex hormone-binding globulin predicts the incidence of hyperglycemia in women: interactions with adiponectin levels. European Journal of Endocrinology. 161(1). 81–85. 39 indexed citations
9.
Aubert, R., et al.. (2009). Inadequate BCR-ABL monitoring in imatinib-treated patients with chronic myelogenous leukemia. Journal of Clinical Oncology. 27(15_suppl). 7077–7077. 4 indexed citations
10.
Aubert, R., Frédéric Fumeron, Franck Péan, et al.. (2005). Increased plasma adiponectin concentrations are associated with microangiopathy in type 1 diabetic subjects. Diabetologia. 48(6). 1088–1092. 82 indexed citations
11.
Aubert, R., D. Betoulle, Franck Péan, et al.. (2001). LEPR gene polymorphisms: associations with overweight, fat mass and response to diet in women. European Journal of Clinical Investigation. 31(5). 398–404. 67 indexed citations
12.
Aubert, R., D. Betoulle, Bernard Herbeth, Gérard Siest, & Frédéric Fumeron. (2000). 5-HT2A receptor gene polymorphism is associated with food and alcohol intake in obese people. International Journal of Obesity. 24(7). 920–924. 61 indexed citations
13.
Betoulle, D., et al.. (2000). Association of the G-2548A polymorphism in the 5′ region of the LEP gene with overweight. Annals of Human Genetics. 64(5). 391–394. 170 indexed citations
14.
15.
Aubert, R., et al.. (1997). Strategies to improve the reporting of legal blindness in Massachusetts.. American Journal of Public Health. 87(3). 425–428. 2 indexed citations
16.
Aubert, R., et al.. (1994). Reproducible measurement of postprandial energy expenditure in young healthy males. American Journal of Clinical Nutrition. 60(6). 849–854. 6 indexed citations
17.
Freedman, David S., et al.. (1992). Education, race, and high-density lipoprotein cholesterol among US adults.. American Journal of Public Health. 82(7). 999–1006. 20 indexed citations
18.
Rothenberg, Richard & R. Aubert. (1990). Ischemic heart disease and hypertension: effect of disease coding on epidemiologic assessment.. PubMed. 105(1). 47–52. 2 indexed citations
19.
Aubert, R., et al.. (1988). Serum Lipoprotein Profiles in Mice: Effects of Early Over- and Undernutrition. Journal of Nutrition. 118(10). 1190–1196. 3 indexed citations
20.
Lemonnier, Daniel, et al.. (1975). Metabolism of the mouse made obese by a high-fat diet.. PubMed. 1(2). 77–85. 20 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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