Ann Packeu

1.8k total citations · 1 hit paper
36 papers, 1.2k citations indexed

About

Ann Packeu is a scholar working on Cell Biology, Epidemiology and Plant Science. According to data from OpenAlex, Ann Packeu has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cell Biology, 20 papers in Epidemiology and 10 papers in Plant Science. Recurrent topics in Ann Packeu's work include Plant Pathogens and Fungal Diseases (21 papers), Nail Diseases and Treatments (17 papers) and Fungal Infections and Studies (9 papers). Ann Packeu is often cited by papers focused on Plant Pathogens and Fungal Diseases (21 papers), Nail Diseases and Treatments (17 papers) and Fungal Infections and Studies (9 papers). Ann Packeu collaborates with scholars based in Belgium, France and Netherlands. Ann Packeu's co-authors include Marijke Hendrickx, Michel Monod, Dirk Stubbe, Sybren de Hoog, Yvonne Gräser, Christiane Kupsch, Karolina Dukik, J. Benjamin Stielow, Hossein Mirhendi and Ali Rezaei‐Matehkolaei and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Clinical Microbiology.

In The Last Decade

Ann Packeu

35 papers receiving 1.2k citations

Hit Papers

Toward a Novel Multilocus Phylogenetic Taxonomy for the D... 2016 2026 2019 2022 2016 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Toward a Novel Multilocus Phylogenetic Taxonomy for the Dermatophytes
    2016 444 citations Sybren de Hoog, Karolina Dukik et al. Mycopathologia profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ann Packeu Belgium 17 800 733 182 147 144 36 1.2k
Hugues Béguin Belgium 15 232 0.3× 243 0.3× 139 0.8× 58 0.4× 197 1.4× 30 579
Tadeja Matos Slovenia 13 330 0.4× 221 0.3× 152 0.8× 6 0.0× 329 2.3× 31 698
R.C. Summerbell Canada 11 124 0.2× 208 0.3× 153 0.8× 12 0.1× 91 0.6× 18 403
Kazushi Anzawa Japan 15 512 0.6× 392 0.5× 115 0.6× 12 0.1× 127 0.9× 81 669
Alberto Rastrojo Spain 16 371 0.5× 17 0.0× 78 0.4× 42 0.3× 48 0.3× 46 815
Francisco Yegres Venezuela 9 221 0.3× 186 0.3× 105 0.6× 5 0.0× 125 0.9× 23 379
Céline M. O’Gorman United Kingdom 11 203 0.3× 418 0.6× 571 3.1× 33 0.2× 361 2.5× 12 1.1k
Patricia Sánchez Spain 12 22 0.0× 87 0.1× 204 1.1× 64 0.4× 25 0.2× 22 669
Moon M. Sen United States 11 20 0.0× 34 0.0× 78 0.4× 320 2.2× 73 0.5× 18 692
L. Kapica Canada 12 201 0.3× 137 0.2× 67 0.4× 33 0.2× 92 0.6× 20 366

Countries citing papers authored by Ann Packeu

Since Specialization
Citations

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

Fields of papers citing papers by Ann Packeu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ann Packeu

This figure shows the co-authorship network connecting the top 25 collaborators of Ann Packeu. A scholar is included among the top collaborators of Ann Packeu 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 Ann Packeu. Ann Packeu 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.
Boeck, Ilke De, Irina Spacova, Tom Eilers, et al.. (2025). Lacticaseibacillus rhamnosus GG in a chewable colonizes the nose and facilitates local immune benefits in allergic rhinoconjunctivitis patients. Microbiology Spectrum. 13(10). e0077325–e0077325.
2.
Normand, Anne‐Cécile, et al.. (2024). Resistance Profile, Terbinafine Resistance Screening and MALDI-TOF MS Identification of the Emerging Pathogen Trichophyton indotineae. Mycopathologia. 189(2). 29–29. 19 indexed citations
3.
Botteldoorn, Nadine, et al.. (2024). Pan-azole resistance in clinical Aspergillus fumigatus isolates carrying TR34/L98H from birds and mammals in Belgium. One Health. 19. 100907–100907. 1 indexed citations
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Normand, Anne‐Cécile, Marion Blaize, Sébastien Imbert, et al.. (2021). Identification of Molds with Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry: Performance of the Newly Developed MSI-2 Application in Comparison with the Bruker Filamentous Fungi Database and MSI-1. Journal of Clinical Microbiology. 59(10). e0129921–e0129921. 33 indexed citations
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Becker, Pierre, et al.. (2020). Superficial mycoses in Belgium: Burden, costs and antifungal drugs consumption. Mycoses. 63(5). 500–508. 6 indexed citations
9.
Su, Huilin, Ann Packeu, Sarah Ahmed, et al.. (2019). Species Distinction in the Trichophyton rubrum Complex. Journal of Clinical Microbiology. 57(9). 35 indexed citations
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Stubbe, Dirk, et al.. (2019). Updating the Taxonomy of Dermatophytes of the BCCM/IHEM Collection According to the New Standard: A Phylogenetic Approach. Mycopathologia. 185(1). 161–168. 27 indexed citations
12.
Normand, Anne‐Cécile, Ann Packeu, Carole Cassagne, et al.. (2018). Nucleotide Sequence Database Comparison for Routine Dermatophyte Identification by Internal Transcribed Spacer 2 Genetic Region DNA Barcoding. Journal of Clinical Microbiology. 56(5). 13 indexed citations
13.
Bruffaerts, Nicolas, Tom De Smedt, Andy Delcloo, et al.. (2017). Comparative long-term trend analysis of daily weather conditions with daily pollen concentrations in Brussels, Belgium. International Journal of Biometeorology. 62(3). 483–491. 63 indexed citations
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Hoog, Sybren de, Karolina Dukik, Michel Monod, et al.. (2016). Toward a Novel Multilocus Phylogenetic Taxonomy for the Dermatophytes. Mycopathologia. 182(1-2). 5–31. 444 indexed citations breakdown →
17.
Simons, Koen, Lucie Hoebeke, Ann Packeu, et al.. (2016). Short-Term Effect of Pollen and Spore Exposure on Allergy Morbidity in the Brussels-Capital Region. EcoHealth. 13(2). 303–315. 20 indexed citations
18.
Chasseur, Camille, et al.. (2015). Development and performance assessment of a qualitative SYBR® green real-time PCR assay for the detection of Aspergillus versicolor in indoor air. Applied Microbiology and Biotechnology. 99(17). 7267–7282. 14 indexed citations
19.
Gautier, Magali, Stéphane Ranque, Anne‐Cécile Normand, et al.. (2014). Matrix-assisted laser desorption ionization time-of-flight mass spectrometry: revolutionizing clinical laboratory diagnosis of mould infections. Clinical Microbiology and Infection. 20(12). 1366–1371. 62 indexed citations
20.
Packeu, Ann, Marijke Hendrickx, Hugues Béguin, et al.. (2013). Identification of theTrichophyton mentagrophytescomplex species using MALDI-TOF mass spectrometry. Medical Mycology. 51(6). 580–585. 38 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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