K Le Lay

1.5k total citations · 1 hit paper
44 papers, 1.1k citations indexed

About

K Le Lay is a scholar working on Pulmonary and Respiratory Medicine, Economics and Econometrics and Oncology. According to data from OpenAlex, K Le Lay has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 10 papers in Economics and Econometrics and 9 papers in Oncology. Recurrent topics in K Le Lay's work include Fibromyalgia and Chronic Fatigue Syndrome Research (9 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers) and Lung Cancer Treatments and Mutations (7 papers). K Le Lay is often cited by papers focused on Fibromyalgia and Chronic Fatigue Syndrome Research (9 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers) and Lung Cancer Treatments and Mutations (7 papers). K Le Lay collaborates with scholars based in France, Germany and Belgium. K Le Lay's co-authors include C. Taïeb, Jean-Paul Caubère, Marco Matucci‐Cerinic, Michael Spaeth, Jordi Carbonell, Fernando Saraiva, Jaime Branco, Francesca Nacci, Lieven Annemans and Inmaculada Failde and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Stroke.

In The Last Decade

K Le Lay

41 papers receiving 1.1k citations

Hit Papers

Prevalence of Fibromyalgia: A Survey in Five European Cou... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K Le Lay France 15 712 505 173 154 131 44 1.1k
Reto Kofmehl Switzerland 9 166 0.2× 368 0.7× 115 0.7× 64 0.4× 48 0.4× 10 673
Mandy Corbett United Kingdom 18 151 0.2× 437 0.9× 57 0.3× 114 0.7× 70 0.5× 30 1.1k
Arthi Chandran United States 21 676 0.9× 588 1.2× 12 0.1× 171 1.1× 26 0.2× 49 1.1k
Ariane K. Kawata United States 20 613 0.9× 94 0.2× 110 0.6× 118 0.8× 70 0.5× 42 1.4k
Paula Stern Canada 15 102 0.1× 497 1.0× 25 0.1× 105 0.7× 42 0.3× 36 929
Ferhan Cantürk Türkiye 20 232 0.3× 211 0.4× 26 0.2× 69 0.4× 51 0.4× 46 1.1k
Aqeel M. Alenazi Saudi Arabia 18 146 0.2× 216 0.4× 24 0.1× 76 0.5× 132 1.0× 100 961
Berit Schiøttz‐Christensen Denmark 20 176 0.2× 588 1.2× 11 0.1× 99 0.6× 49 0.4× 99 1.5k
Tülin Düger Türkiye 14 135 0.2× 306 0.6× 72 0.4× 31 0.2× 30 0.2× 63 806
Karin Niedermann Switzerland 19 186 0.3× 100 0.2× 32 0.2× 130 0.8× 102 0.8× 59 1.3k

Countries citing papers authored by K Le Lay

Since Specialization
Citations

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

Fields of papers citing papers by K Le Lay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K Le Lay. 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 K Le Lay. The network helps show where K Le Lay may publish in the future.

Co-authorship network of co-authors of K Le Lay

This figure shows the co-authorship network connecting the top 25 collaborators of K Le Lay. A scholar is included among the top collaborators of K Le Lay 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 K Le Lay. K Le Lay 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
2.
Lay, K Le, et al.. (2023). The burden of hospitalisations for COVID-19 in France: a study of all cases in the national insurance claims database in 2020. SHILAP Revista de lepidopterología. 11(1). 1 indexed citations
4.
Nasser, Mouhamad, Sophie Larrieu, Loïc Boussel, et al.. (2021). Estimates of epidemiology, mortality and disease burden associated with progressive fibrosing interstitial lung disease in France (the PROGRESS study). Respiratory Research. 22(1). 162–162. 40 indexed citations
5.
Allanore, Yannick, J. Constans, Gérard de Pouvourville, et al.. (2021). Quality of life in SSc-ILD patients: Understanding the impact of the ILD and the needs of the SSc-ILD patients and their need for caregivers in France. Journal of Scleroderma and Related Disorders. 7(1). 49–56. 8 indexed citations
6.
Cavaillès, A., et al.. (2020). <p>Identification of Patient Profiles with High Risk of Hospital Re-Admissions for Acute COPD Exacerbations (AECOPD) in France Using a Machine Learning Model</p>. International Journal of COPD. Volume 15. 949–962. 22 indexed citations
7.
Cottin, Vincent, et al.. (2017). Burden of Idiopathic Pulmonary Fibrosis Progression: A 5-Year Longitudinal Follow-Up Study. PLoS ONE. 12(1). e0166462–e0166462. 50 indexed citations
8.
Bénard, Stève, et al.. (2016). Nintedanib Cost-Utility In Idiopathic Pulmonary Fibrosis In France. Value in Health. 19(7). A556–A556. 2 indexed citations
9.
Cottin, Vincent, et al.. (2015). Idiopathic Pulmonary Fibrosis: Hospital Disease Management and Associated Costs. Value in Health. 18(7). A665–A665. 1 indexed citations
10.
Schmidt, Aurélie, et al.. (2015). Acute Ischemic Stroke (AIS) Patient Management in French Stroke Units and Impact Estimation of Thrombolysis on Care Pathways and Associated Costs. Cerebrovascular Diseases. 39(2). 94–101. 16 indexed citations
11.
Chevalier, Julie, K Le Lay, & Gérard de Pouvourville. (2013). Health State Utility Values in Advanced Non-Small Cell Lung Cancer Patients. Value in Health. 16(7). A419–A419. 4 indexed citations
12.
Serra, É., Michael Spaeth, Benoît Arnould, et al.. (2011). Development of the Fibromyalgia Burden Assessment: measuring the multifaceted burden of fibromyalgia.. PubMed. 28(6 Suppl 63). S87–93. 5 indexed citations
13.
Lamotte, Mark, Yves Maugars, K Le Lay, & C. Taïeb. (2011). Health economic evaluation of outpatient management of fibromyalgia patients and the costs avoided by diagnosing fibromyalgia in France.. PubMed. 28(6 Suppl 63). S64–70. 14 indexed citations
14.
Gal, Martine Le, et al.. (2010). Linguistic validation of six patient-reported outcomes instruments into 12 languages for patients with fibromyalgia. Joint Bone Spine. 77(2). 165–170. 16 indexed citations
15.
Branco, Jaime, B Bannwarth, Inmaculada Failde, et al.. (2009). Prevalence of Fibromyalgia: A Survey in Five European Countries. Seminars in Arthritis and Rheumatism. 39(6). 448–453. 528 indexed citations breakdown →
16.
Annemans, Lieven, K Le Lay, & C. Taïeb. (2009). Societal and Patient Burden of Fibromyalgia Syndrome. PharmacoEconomics. 27(7). 547–559. 77 indexed citations
17.
Annemans, Lieven, Simon Wessely, Erik Spaepen, et al.. (2008). Health economic consequences related to the diagnosis of fibromyalgia syndrome. Arthritis & Rheumatism. 58(3). 895–902. 104 indexed citations
18.
França, Lionel Riou, et al.. (2008). Drotrecogin Alfa's Impact on Intensive Care Workload in Real Life Practice: A Propensity Score Approach. Value in Health. 11(7). 1051–1060. 3 indexed citations
19.
Lay, K Le, E Myon, Samuel L. Hill, et al.. (2007). Comparative cost-minimisation of oral and intravenous chemotherapy for first-line treatment of non-small cell lung cancer in the UK NHS system. The European Journal of Health Economics. 8(2). 145–151. 37 indexed citations
20.
Dhainaut, Jean-François, B. Vallet, Lionel Riou França, et al.. (2007). Cost-effectiveness of activated protein C in real-life clinical practice. Critical Care. 11(5). R99–R99. 22 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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