Ine Frénay

1.4k total citations
7 papers, 335 citations indexed

About

Ine Frénay is a scholar working on Infectious Diseases, Molecular Biology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Ine Frénay has authored 7 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 2 papers in Molecular Biology and 2 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Ine Frénay's work include Yersinia bacterium, plague, ectoparasites research (2 papers), Nosocomial Infections in ICU (2 papers) and Antimicrobial Resistance in Staphylococcus (2 papers). Ine Frénay is often cited by papers focused on Yersinia bacterium, plague, ectoparasites research (2 papers), Nosocomial Infections in ICU (2 papers) and Antimicrobial Resistance in Staphylococcus (2 papers). Ine Frénay collaborates with scholars based in Netherlands, Gabon and Sweden. Ine Frénay's co-authors include G. J. van Asselt, J A Kaan, Robin F. J. Benus, Ellen M. Mascini, Maurine A. Leverstein‐van Hall, Patrick Sturm, A Jansz, Steven Thijsen, Bartelt M. de Jongh and Hetty E. M. Blok and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Respiratory and Critical Care Medicine and Journal of Clinical Microbiology.

In The Last Decade

Ine Frénay

7 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ine Frénay Netherlands 6 156 100 89 72 65 7 335
G. J. van Asselt Netherlands 9 167 1.1× 120 1.2× 119 1.3× 86 1.2× 38 0.6× 11 361
Nefise Öztoprak Türkiye 10 121 0.8× 141 1.4× 150 1.7× 74 1.0× 48 0.7× 37 392
Lauri Smithee United States 4 62 0.4× 145 1.4× 49 0.6× 56 0.8× 63 1.0× 5 327
Meng-Shiuan Hsu Taiwan 12 88 0.6× 95 0.9× 175 2.0× 223 3.1× 43 0.7× 18 533
Simone Bramati Italy 9 108 0.7× 92 0.9× 87 1.0× 57 0.8× 64 1.0× 13 306
Çiğdem Kuzucu Türkiye 11 64 0.4× 132 1.3× 105 1.2× 154 2.1× 124 1.9× 42 431
Thanh Le-Viet United Kingdom 8 62 0.4× 40 0.4× 54 0.6× 87 1.2× 54 0.8× 17 248
Gwen Robinson United States 12 44 0.3× 169 1.7× 155 1.7× 188 2.6× 56 0.9× 32 500
Lynn Byers United Kingdom 3 234 1.5× 38 0.4× 102 1.1× 38 0.5× 97 1.5× 4 356
Marc J. M. Bonten Netherlands 6 460 2.9× 88 0.9× 378 4.2× 198 2.8× 54 0.8× 10 739

Countries citing papers authored by Ine Frénay

Since Specialization
Citations

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

Fields of papers citing papers by Ine Frénay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ine Frénay

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

All Works

7 of 7 papers shown
1.
Sikkema, Reina S., Laura W. van Buul, Bas B. Oude Munnink, et al.. (2021). Are presymptomatic SARS-CoV-2 infections in nursing home residents unrecognised symptomatic infections? Sequence and metadata from weekly testing in an extensive nursing home outbreak. Age and Ageing. 50(5). 1454–1463. 17 indexed citations
2.
Bergmans, Anneke, Ine Frénay, Alex van Belkum, et al.. (2014). Epidemicity Marker Typing Methods and Isolation of a Novel Various Element Sequence-Based PCR with Strains: Comparison of Repetitive aureus Staphylococcus Molecular Genotyping of. 1 indexed citations
3.
Wunderink, Herman F., Paul M. Oostvogel, Ine Frénay, et al.. (2013). Difficulties in diagnosing terminal ileitis due to Yersinia pseudotuberculosis. European Journal of Clinical Microbiology & Infectious Diseases. 33(2). 197–200. 11 indexed citations
4.
Maraha, B., Andreas Sjödin, Mats Forsman, et al.. (2013). Indigenous Infection withFrancisella tularensis holarcticain The Netherlands. SHILAP Revista de lepidopterología. 2013. 1–3. 8 indexed citations
5.
Smet, Anne Marie G. A. de, Jan Kluytmans, Hetty E. M. Blok, et al.. (2011). Selective digestive tract decontamination and selective oropharyngeal decontamination and antibiotic resistance in patients in intensive-care units: an open-label, clustered group-randomised, crossover study. The Lancet Infectious Diseases. 11(5). 372–380. 112 indexed citations
6.
Oostdijk, Evelien, Anne Marie G. A. de Smet, Hetty E. M. Blok, et al.. (2009). Ecological Effects of Selective Decontamination on Resistant Gram-negative Bacterial Colonization. American Journal of Respiratory and Critical Care Medicine. 181(5). 452–457. 121 indexed citations
7.
Zee, Anneke van der, Harold Verbakel, Ine Frénay, et al.. (1999). Molecular Genotyping of Staphylococcus aureus Strains: Comparison of Repetitive Element Sequence-Based PCR with Various Typing Methods and Isolation of a Novel Epidemicity Marker. Journal of Clinical Microbiology. 37(2). 342–349. 65 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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