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.
The rainbow vent fluids (36°14′N, MAR): the influence of ultramafic rocks and phase separation on trace metal content in Mid-Atlantic Ridge hydrothermal fluids
2002560 citationsYves Fouquet, Daniël Prieur et al.profile →
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 Daniël Prieur'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 Daniël Prieur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniël Prieur more than expected).
This network shows the impact of papers produced by Daniël Prieur. 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 Daniël Prieur. The network helps show where Daniël Prieur may publish in the future.
Co-authorship network of co-authors of Daniël Prieur
This figure shows the co-authorship network connecting the top 25 collaborators of Daniël Prieur.
A scholar is included among the top collaborators of Daniël Prieur 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 Daniël Prieur. Daniël Prieur is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zeng, Xiang, Jean‐Louis Birrien, Yves Fouquet, et al.. (2009). Pyrococcus CH1, an obligate piezophilic hyperthermophile extending the upper pressure-temperature limits for life. HAL (Le Centre pour la Communication Scientifique Directe).3 indexed citations
Corre, Erwan, Anna‐Louise Reysenbach, & Daniël Prieur. (1997). Molecular phylogenetic analysis of the microbial diversity of a vent cap sample. Cahiers de biologie marine.1 indexed citations
10.
Durand, Pascale, Olivier Gros, Liliane Frenkiel, & Daniël Prieur. (1996). Phylogenetic characterization of sulfur-oxidizing bacterial endosymbionts in three tropical Lucinidae by 16S rDNA sequence analysis. Queensland's institutional digital repository (The University of Queensland). 5(1). 37–42.47 indexed citations
11.
Corre, Erwan, et al.. (1996). In vivo susceptibility of sulfothermophilic archaea to antimicrobial agents. 4(4). 215–219.3 indexed citations
Prieur, Daniël, et al.. (1991). Une nouvelle filière : les micro-organismes marins. Biofutur. 41–47.1 indexed citations
16.
Prieur, Daniël, et al.. (1990). Interactions between bivalve molluscs and bacteria in the marine environment. 28. 277–352.147 indexed citations
17.
Prieur, Daniël. (1987). A Review of the Relationships Between Bivalve Molluscs and Bacteria in the Marine Environment. Symbiosis. 4. 37–50.3 indexed citations
Prieur, Daniël, et al.. (1973). Le contrôle bactérien des élevages de larves de bivalves. Institutional Archive of Ifremer (French Research Institute for Exploitation of the Sea).1 indexed citations
20.
Pennec, Marcel Le, et al.. (1973). Développement larvaire de mytilus edulis(L.) en présence d'antibiotiques. Institutional Archive of Ifremer (French Research Institute for Exploitation of the Sea).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.