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.
Uniting the classification of cultured and uncultured bacteria and archaea using 16S rRNA gene sequences
20141.8k citationsPablo Yarza, Pelin Yilmaz et al.Nature Reviews Microbiologyprofile →
The All-Species Living Tree project: A 16S rRNA-based phylogenetic tree of all sequenced type strains
2008724 citationsPablo Yarza, Michael Richter et al.Systematic and Applied Microbiologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of J. Euzéby'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 J. Euzéby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Euzéby more than expected).
This network shows the impact of papers produced by J. Euzéby. 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 J. Euzéby. The network helps show where J. Euzéby may publish in the future.
Co-authorship network of co-authors of J. Euzéby
This figure shows the co-authorship network connecting the top 25 collaborators of J. Euzéby.
A scholar is included among the top collaborators of J. Euzéby 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 J. Euzéby. J. Euzéby 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.
Yarza, Pablo, Pelin Yilmaz, Elmar Pruesse, et al.. (2014). Uniting the classification of cultured and uncultured bacteria and archaea using 16S rRNA gene sequences. Nature Reviews Microbiology. 12(9). 635–645.1790 indexed citations breakdown →
Yarza, Pablo, Michael Richter, Jörg Peplies, et al.. (2008). The All-Species Living Tree project: A 16S rRNA-based phylogenetic tree of all sequenced type strains. Systematic and Applied Microbiology. 31(4). 241–250.724 indexed citations breakdown →
Boulouis, Henri Jean, Bruno B. Chomel, J L Binet, et al.. (1999). Actualités sur les bartonelloses. Discussion : Les zoonoses émergentes ou réémergentes. Bulletin de l Académie Nationale de Médecine. 183(7). 1399–1412.2 indexed citations
9.
Euzéby, J.. (1998). Les taxons bacteriens d'interet veterinaire decrits en 1997. Revue bibliographique. Revue Méd Vét. 149(1). 15–46.4 indexed citations
Euzéby, J.. (1982). Experimental diagnosis of animal helminthiases (domestic animals -- laboratory animals -- primates). Practical work in veterinary helminthology. Vol. II..3 indexed citations
16.
Euzéby, J., et al.. (1980). Study of the anthelmintic properties of nitazoxanide in dog, cat and sheep.. Revue Méd Vét. 131(10). 687–696.16 indexed citations
17.
Euzéby, J.. (1980). Parasitic coccidia of the dog and the cat: pathogenic and epidemiological effects.. Revue Méd Vét. 131(1). 43–61.2 indexed citations
18.
Euzéby, J., et al.. (1980). Effect of imidocarb on Babesia canis, the causal agent of canine piroplasmosis in Europe.. Bulletin de l Académie vétérinaire de France. 53(4). 475–480.1 indexed citations
19.
Euzéby, J.. (1977). The laboratory diagnosis of cutaneous and subcutaneous mycoses in animals.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 7(2). 111–29.5 indexed citations
20.
Euzéby, J.. (1971). The ecology and biology of Lymnaea trúncatela in Europe.. 40(6). 283–289.1 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.