Aurélie Jayol

29 papers receiving 2.6k citations

Aurélie Jayol's Hit Papers

Polymyxins: Antibacterial Activity, Susceptibility Testing, and Resistance Mechanisms Encoded by Plasmids or Chromosomes 2017 · 1.1k citations
1.1k0+3+6Years since publication2505007501000

Peers

Aurélie Jayol
Comparison fields: 5 of 78
  • Molecular Medicine 2.3k
  • Endocrinology 707
  • Applied Microbiology and Biotechnology 240
  • Pollution 846
  • Pharmacology 818
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Il Kwon Bae South Korea
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Zeqing Wei China
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Countries citing papers authored by Aurélie Jayol

Since Specialization
Citations

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

Fields of papers citing papers by Aurélie Jayol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aurélie Jayol, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aurélie Jayol Line = papers co-authored together Aurélie Jayol links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Polymyxins: Antibacterial Activity, Susceptibility Testing, and Resistance Mechanisms Encoded by Plasmids or Chromosomes
Hit paper breakdown →
20171051
2 2014230
3 2014176
4 2015159
5 2016157
6 2016119
7 201679
8 201772
9 201770
10 201756
11 201656
12 201847
13 201537
14 201632
15 201627
16 201726
17 201825
18 201923
19 201823
20 201718

About Aurélie Jayol

Aurélie Jayol is a scholar working on Molecular Medicine, Pollution, Endocrinology, Pharmacology and Genetics, having authored 30 papers that have together received 2.6k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (27 papers), Pharmaceutical and Antibiotic Environmental Impacts (10 papers), Antibiotics Pharmacokinetics and Efficacy (8 papers), Bacterial Genetics and Biotechnology (7 papers), Enterobacteriaceae and Cronobacter Research (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Cancer therapeutics and mechanisms (3 papers) and Pneumonia and Respiratory Infections (3 papers). The work is most often cited by research in Molecular Medicine (2.3k citations), Endocrinology (707 citations), Applied Microbiology and Biotechnology (240 citations), Pollution (846 citations) and Pharmacology (818 citations). Aurélie Jayol has collaborated with scholars based in Switzerland, France and Colombia. Frequent co-authors include Patrice Nordmann, Laurent Poirel, Adrian Brink, María Virginia Villegas, Véronique Dubois, Salih Türkoğlu, Melda Özdamar, Séverine Bontron, Mesut Yılmaz and Nicolas Kieffer. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Antimicrobial Agents and Chemotherapy, Diagnostic Microbiology and Infectious Disease, Journal of Clinical Microbiology and International Journal of Antimicrobial Agents.

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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