L Vaur

2.1k total citations
62 papers, 1.5k citations indexed

About

L Vaur is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and General Health Professions. According to data from OpenAlex, L Vaur has authored 62 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cardiology and Cardiovascular Medicine, 16 papers in Endocrinology, Diabetes and Metabolism and 9 papers in General Health Professions. Recurrent topics in L Vaur's work include Blood Pressure and Hypertension Studies (27 papers), Acute Myocardial Infarction Research (9 papers) and Diabetes Management and Research (8 papers). L Vaur is often cited by papers focused on Blood Pressure and Hypertension Studies (27 papers), Acute Myocardial Infarction Research (9 papers) and Diabetes Management and Research (8 papers). L Vaur collaborates with scholars based in France, United States and United Kingdom. L Vaur's co-authors include N Genès, Nicolas Danchin, Jean‐Pierre Cambou, Pascal Guéret, G. Charpentier, Sylvie Etienne, Pierre Clerson, Jean Ferrières, Gilles Châtellier and Fabrice Fleury and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Diabetes Care.

In The Last Decade

L Vaur

57 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L Vaur France 23 1.1k 415 355 168 146 62 1.5k
Pernille Buch Denmark 12 1.2k 1.1× 286 0.7× 334 0.9× 134 0.8× 169 1.2× 14 1.9k
W. Remme United States 10 1.6k 1.4× 154 0.4× 296 0.8× 69 0.4× 210 1.4× 20 1.8k
Marcelo C. Shibata Canada 13 1.7k 1.6× 256 0.6× 168 0.5× 47 0.3× 75 0.5× 20 2.1k
Niels Gadsbøll Denmark 20 2.0k 1.8× 96 0.2× 389 1.1× 134 0.8× 232 1.6× 45 2.4k
Emily Atkins Australia 16 804 0.7× 224 0.5× 216 0.6× 47 0.3× 90 0.6× 69 1.4k
D Wood United Kingdom 9 1.1k 1.0× 358 0.9× 528 1.5× 30 0.2× 140 1.0× 25 1.9k
Dena Ettehad United Kingdom 4 1.7k 1.5× 464 1.1× 342 1.0× 81 0.5× 57 0.4× 4 2.4k
N Genès France 18 827 0.8× 141 0.3× 280 0.8× 63 0.4× 150 1.0× 34 1.0k
Roland S. Chen United States 11 655 0.6× 821 2.0× 385 1.1× 58 0.3× 29 0.2× 16 1.7k
Miyuki Tsuchihashi‐Makaya Japan 26 1.6k 1.4× 100 0.2× 141 0.4× 92 0.5× 70 0.5× 59 2.0k

Countries citing papers authored by L Vaur

Since Specialization
Citations

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

Fields of papers citing papers by L Vaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L Vaur

This figure shows the co-authorship network connecting the top 25 collaborators of L Vaur. A scholar is included among the top collaborators of L Vaur 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 L Vaur. L Vaur 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.
Cariou, Bertrand, Michel Lièvre, Pierre-Michel Llorca, et al.. (2014). PO11 Élaboration et validation d’une version réduite du questionnaire d’évaluation de la peur des hypoglycémies HFS-II (Hypoglycemia Fear Survey-II). Diabetes & Metabolism. 40. A23–A23.
3.
Raccah, D., H Hanaire-Broutin, Sylvie Brin, et al.. (2006). Insulin initiation in type 2 diabetic patients admitted in hospital in France and follow-up at 1 year. Diabetes & Metabolism. 32(3). 244–250. 14 indexed citations
4.
Charpentier, G., et al.. (2005). Electronic pill-boxes in the evaluation of oral hypoglycemic agent compliance. Diabetes & Metabolism. 31(2). 189–195. 32 indexed citations
5.
Danchin, Nicolas, G. Charpentier, François Ledru, et al.. (2004). Role of previous treatment with sulfonylureas in diabetic patients with acute myocardial infarction: results from a nationwide French registry. Diabetes/Metabolism Research and Reviews. 21(2). 143–149. 27 indexed citations
6.
Mallion, Jean-Michel, et al.. (2004). Detection of masked hypertension by home blood pressure measurement: is the number of measurements an important issue?. Blood Pressure Monitoring. 9(6). 301–305. 27 indexed citations
7.
Danchin, Nicolas, G Hanania, L Vaur, et al.. (2003). Évolution du traitement de sortie après hospitalisation pour syndrome coronaire aigu en France entre 1995 et 2000 : données des études Usik 1995, Prévenir 1 et 2 et Usic 2000. Annales de Cardiologie et d Angéiologie. 52(1). 1–6. 28 indexed citations
8.
Vaur, L, et al.. (2003). Development of Congestive Heart Failure in Type 2 Diabetic Patients With Microalbuminuria or Proteinuria. Diabetes Care. 26(3). 855–860. 109 indexed citations
9.
Danchin, Nicolas, Michaël Angioı̈, L Vaur, et al.. (2002). Effect of reperfusion therapy on long-term outcome in patients >70 years of age. The American Journal of Cardiology. 90(10). 1142–1145. 5 indexed citations
10.
Cambou, Jean‐Pierre, L Vaur, N Genès, et al.. (2002). Efficacité du traitement de reperfusion au stade aigu de l'infarctus dans la population âgée : données du registre USIK 1995. Annales de Cardiologie et d Angéiologie. 51(1). 20–24. 8 indexed citations
11.
Varroud‐Vial, M., G. Charpentier, L Vaur, et al.. (2001). Effects of clinical audit on the quality of care in patients with type 2 diabetes: results of the DIABEST pilot study.. PubMed. 27(6). 666–74. 9 indexed citations
12.
Charpentier, G., et al.. (2001). Predictors of response to glimepiride in patients with type 2 diabetes mellitus.. PubMed. 27(5 Pt 1). 563–71. 10 indexed citations
13.
Vaur, L, et al.. (2000). Electronic pill-boxes in the evaluation of antihypertensive treatment compliance: comparison of once daily versus twice daily regimen. American Journal of Hypertension. 13(2). 184–190. 76 indexed citations
14.
Vaı̈sse, B., et al.. (2000). [The feasibility of at-home self-monitoring blood pressure in elderly hypertensive patients].. PubMed. 93(8). 963–7. 5 indexed citations
15.
Danchin, Nicolas, L Vaur, N Genès, et al.. (1999). Treatment of Acute Myocardial Infarction by Primary Coronary Angioplasty or Intravenous Thrombolysis in the “Real World”. Circulation. 99(20). 2639–2644. 81 indexed citations
17.
Danchin, Nicolas, L Vaur, N Genès, et al.. (1997). Management of Acute Myocardial Infarction in Intensive Care Units in 1995: A Nationwide French Survey of Practice and Early Hospital Results. Journal of the American College of Cardiology. 30(7). 1598–1605. 97 indexed citations
18.
Vaur, L, et al.. (1996). Benefits of electronic pillboxes in evaluating treatment compliance of patients with mild to moderate hypertension.. PubMed. 14(1). 137–44. 46 indexed citations
19.
Abergel, Éric, et al.. (1993). Accuracy and reproducibility of left ventricular mass measurement by subcostal M-mode echocardiography in hypertensive patients and professional bicyclists. The American Journal of Cardiology. 72(7). 620–624. 10 indexed citations
20.
Raffoul, Hanna, Éric Abergel, Ariel Cohen, et al.. (1990). [Study of valvular prostheses by Doppler echography].. PubMed. 83(6). 853–61.

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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