Caroline Allix‐Béguec

3.2k total citations
28 papers, 1.4k citations indexed

About

Caroline Allix‐Béguec is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Caroline Allix‐Béguec has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Infectious Diseases, 13 papers in Epidemiology and 12 papers in Surgery. Recurrent topics in Caroline Allix‐Béguec's work include Tuberculosis Research and Epidemiology (12 papers), Mycobacterium research and diagnosis (11 papers) and Infectious Diseases and Tuberculosis (7 papers). Caroline Allix‐Béguec is often cited by papers focused on Tuberculosis Research and Epidemiology (12 papers), Mycobacterium research and diagnosis (11 papers) and Infectious Diseases and Tuberculosis (7 papers). Caroline Allix‐Béguec collaborates with scholars based in France, Germany and Belgium. Caroline Allix‐Béguec's co-authors include Philip Supply, Stefan Niemann, Dag Harmsen, Thomas Weniger, Maryse Fauville‐Dufaux, Camille Locht, Falk Hildebrand, Florian Wölbeling, Tanja Kubica and Axel Meyer and has published in prestigious journals such as PLoS ONE, Journal of Clinical Microbiology and European Respiratory Journal.

In The Last Decade

Caroline Allix‐Béguec

23 papers receiving 1.3k citations

Peers

Caroline Allix‐Béguec
Michelle L. Kelly United Kingdom
Diem‐Lan Vu Switzerland
Marjolaine Vareille United Kingdom
Martin Jones United Kingdom
Caroline Allix‐Béguec
Citations per year, relative to Caroline Allix‐Béguec Caroline Allix‐Béguec (= 1×) peers Cherng‐Lih Perng

Countries citing papers authored by Caroline Allix‐Béguec

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Allix‐Béguec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline Allix‐Béguec. 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 Caroline Allix‐Béguec. The network helps show where Caroline Allix‐Béguec may publish in the future.

Co-authorship network of co-authors of Caroline Allix‐Béguec

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Allix‐Béguec. A scholar is included among the top collaborators of Caroline Allix‐Béguec 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 Caroline Allix‐Béguec. Caroline Allix‐Béguec 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.
Eccleshall, Simon, Géraud Souteyrand, Christian Benoı̂t, et al.. (2025). Long‐Term Effectiveness of a Stent‐Less Strategy With Drug Coated Balloon in Coronary Artery Disease: 3‐Year Follow‐Up of a Prospective All‐Comers Observational Study. Clinical Cardiology. 48(8). e70189–e70189.
2.
Loussouarn, Delphine, Alexis F. Guédon, Renaud Péteri, et al.. (2025). Deep learning for giant cell arteritis diagnosis on temporal artery biopsy. Computers in Biology and Medicine. 196(Pt A). 110707–110707. 1 indexed citations
3.
Dû, Katell Le, et al.. (2024). Anaemia in Hospitalized Cancer Patients: A Retrospective Study of Two Cohorts before and after the Guideline Update. Oncology Research and Treatment. 47(7-8). 331–339.
4.
Milhem, Antoine, et al.. (2023). Four typical pulmonary venous pressure curves displaying the level of occlusion during atrial fibrillation ablation by cryoballoon. Journal of Arrhythmia. 39(6). 997–1000. 1 indexed citations
5.
Milhem, Antoine, Frédéric Anselme, Antoine Da Costa, et al.. (2023). ATE Score Diagnostic Accuracy for Predicting the Absence of Intra-Atrial Thrombi Before AF Ablation. JACC. Clinical electrophysiology. 9(12). 2550–2557.
7.
Lemarié, Romain, François Raffi, Stéphane Corvec, et al.. (2022). Clinical and Epidemiologic Characteristics and Therapeutic Management of Patients with Vibrio Infections, Bay of Biscay, France, 2001–2019. Emerging infectious diseases. 28(12). 10 indexed citations
8.
Jouet, Agathe, Cyril Gaudin, Caroline Allix‐Béguec, et al.. (2020). Deep amplicon sequencing for culture-free prediction of susceptibility or resistance to 13 anti-tuberculous drugs. European Respiratory Journal. 57(3). 2002338–2002338. 63 indexed citations
9.
Allix‐Béguec, Caroline, et al.. (2020). Effet de la communication thérapeutique pendant la toilette complète des patients. Soins. 65(845). 10–13.
10.
Allix‐Béguec, Caroline, et al.. (2019). Revision of hospital work organization using nurse and healthcare assistant workload indicators as decision aid tools. BMC Health Services Research. 19(1). 554–554. 12 indexed citations
11.
Allix‐Béguec, Caroline, et al.. (2015). Retrospective single-surgeon study of outcomes after laparoendoscopic single-site cholecystectomy and sigmoidectomy. Hernia. 20(1). 15–20. 5 indexed citations
12.
Varghese, Bright, et al.. (2013). Admixed Phylogenetic Distribution of Drug Resistant Mycobacterium tuberculosis in Saudi Arabia. PLoS ONE. 8(2). e55598–e55598. 25 indexed citations
13.
Alvarez, Anne‐Sophie, Caroline Allix‐Béguec, Claire Dupont, et al.. (2013). Patient nostril microbial flora: individual-dependency and diversity precluding prediction of Staphylococcus aureus acquisition. Clinical Microbiology and Infection. 20(1). 70–78. 13 indexed citations
14.
Stoffels, Karolien, Caroline Allix‐Béguec, Guido Groenen, et al.. (2013). From Multidrug- to Extensively Drug-Resistant Tuberculosis: Upward Trends as Seen from a 15-Year Nationwide Study. PLoS ONE. 8(5). e63128–e63128. 22 indexed citations
15.
Allix‐Béguec, Caroline, M. Hanekom, Vladyslav Nikolayevskyy, et al.. (2013). Proposal of a Consensus Set of Hypervariable Mycobacterial Interspersed Repetitive-Unit–Variable-Number Tandem-Repeat Loci for Subtyping of Mycobacterium tuberculosis Beijing Isolates. Journal of Clinical Microbiology. 52(1). 164–172. 70 indexed citations
16.
Grange, P., Caroline Allix‐Béguec, J. Chanal, et al.. (2013). Molecular Subtyping of Treponema pallidum in Paris, France. Sexually Transmitted Diseases. 40(8). 641–644. 44 indexed citations
17.
Varghese, Bright, Philip Supply, Mohammed Shoukri, et al.. (2013). Tuberculosis Transmission among Immigrants and Autochthonous Populations of the Eastern Province of Saudi Arabia. PLoS ONE. 8(10). e77635–e77635. 27 indexed citations
18.
Gomes, Harrison Magdinier, Eve Willery, Lia Gonçalves Possuelo, et al.. (2011). The Forest behind the Tree: Phylogenetic Exploration of a Dominant Mycobacterium tuberculosis Strain Lineage from a High Tuberculosis Burden Country. PLoS ONE. 6(3). e18256–e18256. 47 indexed citations
19.
Wirth, Thierry, Falk Hildebrand, Caroline Allix‐Béguec, et al.. (2008). Origin, Spread and Demography of the Mycobacterium tuberculosis Complex. PLoS Pathogens. 4(9). e1000160–e1000160. 322 indexed citations
20.
Allix‐Béguec, Caroline, Philip Supply, Maryse Wanlin, Pablo Bifani, & Maryse Fauville‐Dufaux. (2007). Standardised PCR-based molecular epidemiology of tuberculosis. European Respiratory Journal. 31(5). 1077–1084. 17 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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