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.
Pasteurized Milk as a Vehicle of Infection in an Outbreak of Listeriosis
1985839 citationsPeggy S. Hayes, Brian D. Plikaytis et al.New England Journal of Medicineprofile →
Epidemic Listeriosis Associated with Mexican-Style Cheese
1988760 citationsMichael Linnan, Laurene Mascola et al.New England Journal of Medicineprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of A Audurier'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 A Audurier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Audurier more than expected).
This network shows the impact of papers produced by A Audurier. 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 A Audurier. The network helps show where A Audurier may publish in the future.
Co-authorship network of co-authors of A Audurier
This figure shows the co-authorship network connecting the top 25 collaborators of A Audurier.
A scholar is included among the top collaborators of A Audurier 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 A Audurier. A Audurier is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Méreghetti, Laurent, et al.. (1998). Pseudomonas aeruginosa from cystic fibrosis patients: study using whole cell RAPD and antibiotic susceptibility.. PubMed. 46(5). 319–24.12 indexed citations
Linnan, Michael, Laurene Mascola, V. Goulet, et al.. (1988). Epidemic Listeriosis Associated with Mexican-Style Cheese. New England Journal of Medicine. 319(13). 823–828.760 indexed citations breakdown →
13.
Laudat, P, et al.. (1986). Sensibilité aux antibiotiques des bactéries isolées de produits pathologiques et consommation de bêtalactamines dans un service de chirurgie osseuse.. Pathologie Biologie. 34(5).4 indexed citations
14.
Andreu, José M., et al.. (1984). [Postoperative infectious risk in traumatic bone surgery and protocol for antibiotic therapy].. PubMed. 70(6). 423–8.3 indexed citations
15.
Audurier, A, et al.. (1979). A code for reporting and comparing results in phage typing.. PubMed. 130A(3). 345–9.6 indexed citations
16.
Audurier, A, et al.. (1975). Salmonelloses: étude rétrospective de 136 malades hospitalisés au C.H.U. de Tours. 51(9).4 indexed citations
17.
Audurier, A, et al.. (1972). Epidémiologie de Staphylococcus aureus dans un service de chirurgie orthopédique.. Annales de Chirurgie. 26(23).1 indexed citations
18.
Audurier, A, et al.. (1971). [Heterogeneous resistance to methicillin and lysotype in Staphylococcus aureus].. PubMed. 79(24). 1125–1125.1 indexed citations
19.
Audurier, A, et al.. (1969). [Coexistence of some transferable factors of resistance to antibiotics, isolated during salmonellosis due to salmonella paratyphi B, variety Java].. PubMed. 77(38). 1321–2.1 indexed citations
20.
Audurier, A, et al.. (1966). [The determination of complement-fixing antibodies. Comparison between manual technics and automatic technics].. PubMed. 110(3). Suppl:237–43.1 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.