P. Buffier

523 total citations
19 papers, 269 citations indexed

About

P. Buffier is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Surgery. According to data from OpenAlex, P. Buffier has authored 19 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Epidemiology and 5 papers in Surgery. Recurrent topics in P. Buffier's work include Liver Disease Diagnosis and Treatment (7 papers), Diet, Metabolism, and Disease (5 papers) and Thyroid Cancer Diagnosis and Treatment (3 papers). P. Buffier is often cited by papers focused on Liver Disease Diagnosis and Treatment (7 papers), Diet, Metabolism, and Disease (5 papers) and Thyroid Cancer Diagnosis and Treatment (3 papers). P. Buffier collaborates with scholars based in France and Switzerland. P. Buffier's co-authors include Bruno Vergès, Benjamin Bouillet, Laurence Duvillard, Boris Guiu, Jean–Pierre Cercueil, Jean‐Michel Petit, Patrick Hillon, Marie‐Claude Brindisi, Valérie Jooste and Isabelle Robin and has published in prestigious journals such as Endocrine Reviews, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.

In The Last Decade

P. Buffier

17 papers receiving 260 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Buffier France 9 143 107 70 57 55 19 269
Guoyu Tong China 9 120 0.8× 231 2.2× 93 1.3× 23 0.4× 117 2.1× 10 336
Tatsuaki Nakatou Japan 7 121 0.8× 65 0.6× 26 0.4× 55 1.0× 99 1.8× 11 311
Hannes Manell Sweden 10 115 0.8× 222 2.1× 177 2.5× 55 1.0× 76 1.4× 21 433
Elvira Angotti Italy 10 44 0.3× 97 0.9× 69 1.0× 54 0.9× 94 1.7× 15 310
Qianhua Fang China 9 114 0.8× 166 1.6× 65 0.9× 120 2.1× 120 2.2× 17 388
Irene Andrés‐Blasco Spain 9 71 0.5× 115 1.1× 85 1.2× 35 0.6× 120 2.2× 17 348
Yanjun Wang China 8 32 0.2× 118 1.1× 68 1.0× 43 0.8× 78 1.4× 23 304
Shunkui Luo China 9 144 1.0× 72 0.7× 36 0.5× 36 0.6× 129 2.3× 15 325
Izumi Iseda Japan 6 181 1.3× 42 0.4× 46 0.7× 38 0.7× 69 1.3× 11 345
Mengdie Luo China 9 66 0.5× 248 2.3× 115 1.6× 210 3.7× 85 1.5× 13 421

Countries citing papers authored by P. Buffier

Since Specialization
Citations

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

Fields of papers citing papers by P. Buffier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Buffier

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

All Works

19 of 19 papers shown
1.
Leclerc, Sarah, et al.. (2024). Automatic Classification of Nodules from 2D Ultrasound Images Using Deep Learning Networks. Journal of Imaging. 10(8). 203–203.
2.
Rouland, Alexia, P. Buffier, Jean-Marc Petit, Bruno Vergès, & Benjamin Bouillet. (2020). Thyroïdites : où en est-on en 2019 ?. La Revue de Médecine Interne. 41(6). 390–395. 1 indexed citations
3.
Rouland, Alexia, et al.. (2020). Personality types in individuals with type 1 and type 2 diabetes. Endocrine Connections. 9(3). 254–260. 4 indexed citations
4.
Smati, Sarra, P. Buffier, Benjamin Bouillet, et al.. (2018). Expert opinion on immunotherapy induced diabetes. Annales d Endocrinologie. 79(5). 545–549. 13 indexed citations
5.
Buffier, P., Benjamin Bouillet, Sarra Smati, et al.. (2018). Expert opinion on the metabolic complications of new anticancer therapies: Tyrosine kinase inhibitors. Annales d Endocrinologie. 79(5). 574–582. 22 indexed citations
6.
Bouillet, Benjamin, P. Buffier, Sarra Smati, et al.. (2018). Expert opinion on the metabolic complications of mTOR inhibitors. Annales d Endocrinologie. 79(5). 583–590. 9 indexed citations
7.
Petit, Jean‐Michel, Boris Guiu, Laurence Duvillard, et al.. (2015). Type 1 diabetes is not associated with an increased prevalence of hepatic steatosis. Diabetic Medicine. 32(12). 1648–1651. 41 indexed citations
8.
Petit, Jean‐Michel, David Masson, Boris Guiu, et al.. (2015). GCKR polymorphism influences liver fat content in patients with type 2 diabetes. Acta Diabetologica. 53(2). 237–242. 17 indexed citations
9.
Blonde, Marie‐Cecile, et al.. (2014). Characteristics of diabetic patients and diabetes care in cardiac rehabilitation. Archives of cardiovascular diseases. 107(6-7). 391–397. 1 indexed citations
10.
Vergès, Bruno, M.-C. Brindisi, Benjamin Bouillet, et al.. (2014). Is long-acting resveratrol effective on the residual dyslipidemia in statin-treated type 2 diabetic patients?. Atherosclerosis. 235(2). e192–e192. 3 indexed citations
11.
Duvillard, Laurence, Vanessa Cottet, Marie‐Claude Brindisi, et al.. (2014). Circulating Apelin is increased in patients with type 1 or type 2 diabetes and is associated with better glycaemic control. Clinical Endocrinology. 81(5). 696–701. 55 indexed citations
12.
Vergès, Bruno, Boris Guiu, Jean–Pierre Cercueil, et al.. (2012). Retinol-Binding Protein 4 Is an Independent Factor Associated With Triglycerides and a Determinant of Very Low-Density Lipoprotein–Apolipoprotein B100 Catabolism in Type 2 Diabetes Mellitus. Arteriosclerosis Thrombosis and Vascular Biology. 32(12). 3050–3057. 30 indexed citations
13.
Petit, Jean-Marc, Boris Guiu, David Masson, et al.. (2011). PNPLA3 polymorphism influences liver fibrosis in unselected patients with type 2 diabetes. Liver International. 31(9). 1332–1336. 23 indexed citations
14.
Baillot-Rudoni, S., Alfred Penfornis, P. Buffier, et al.. (2011). P282 - Étude à long terme sur le traitement du diabète de type 2 par pompe à insuline externe. Diabetes & Metabolism. 37(1). A100–A100.
15.
Buffier, P., et al.. (2011). Non-ultrasound-guided ethanol sclerotherapy for the treatment of thyroid cysts. Annales d Endocrinologie. 72(3). 203–207. 2 indexed citations
16.
Guiu, Boris, David Masson, Laurence Duvillard, et al.. (2010). Specifically PNPLA3-Mediated Accumulation of Liver Fat in Obese Patients with Type 2 Diabetes. The Journal of Clinical Endocrinology & Metabolism. 95(12). E430–E436. 36 indexed citations
17.
Petit, Jean Michel, Boris Guiu, David Masson, et al.. (2010). Specifically PNPLA3-Mediated Accumulation of Liver Fat in Obese Patients with Type 2 Diabetes. Endocrine Reviews. 31(5). 777–778. 4 indexed citations
18.
Petit, Jean Michel, Boris Guiu, David Masson, et al.. (2010). Specifically PNPLA3-Mediated Accumulation of Liver Fat in Obese Patients with Type 2 Diabetes. Endocrinology. 151(10). 5084–5085. 2 indexed citations
19.
Poussier, A., Alfred Penfornis, Vincent Di Martino, et al.. (2008). Specific phenotype associated with diabetes mellitus secondary to chronic hepatitis C infection. Diabetic Medicine. 25(10). 1237–1240. 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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