Aline Vertut‐Doï

22 papers receiving 783 citations

Peers

Aline Vertut‐Doï
Comparison fields: 5 of 63
  • Infectious Diseases 241
  • Biomaterials 140
  • Molecular Biology 323
  • Pharmaceutical Science 23
  • Toxicology 16
Replace A. Coune with:
A. Coune Belgium
Alexander G. Cioffi United States
Paul L. Domanico United States
Sharma R. Minchey United States
Yao-Ting Huang United States
Jean Dessolin France
Xiaofang Li China
Kazuto Ohkura Japan
María José Guillén Spain
Padmalal Gurugama United Kingdom
Aline Vertut‐Doï relative to A. Coune Belgium A. Coune's profile →
Citations per field
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A. Coune · 1×
Citations per year

Countries citing papers authored by Aline Vertut‐Doï

Since Specialization
Citations

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

Fields of papers citing papers by Aline Vertut‐Doï

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aline Vertut‐Doï. 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 Aline Vertut‐Doï. The network helps show where Aline Vertut‐Doï may publish in the future.

Co-authors

The 25 scholars most cited alongside Aline Vertut‐Doï, 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 Aline Vertut‐Doï Line = papers co-authored together Aline Vertut‐Doï links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983146
2 1985107
3 199673
4 199547
5 200446
6 198842
7 199441
8 199741
9 199639
10 198138
11 198832
12 200328
13 200526
14 198425
15
Two mechanisms of synergism when amphotericin B is used in combination with actinomycin D or 1-(2-chloroethyl)-3-cyclohexyl-1-nitrosourea against the human promyelocytic leukemia cell line HL-60.
198619
16 198516
17 199816
18 200114
19 199112
20 19918

About Aline Vertut‐Doï

Aline Vertut‐Doï is a scholar working on Biomaterials, Infectious Diseases, Cell Biology, Molecular Biology and Physiology, having authored 22 papers that have together received 822 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (7 papers), Antifungal resistance and susceptibility (6 papers), Nanoparticle-Based Drug Delivery (6 papers), Erythrocyte Function and Pathophysiology (3 papers), Cholesterol and Lipid Metabolism (2 papers), Cellular Mechanics and Interactions (2 papers), Cellular transport and secretion (2 papers) and Lipid metabolism and disorders (2 papers). The work is most often cited by research in Infectious Diseases (241 citations), Biomaterials (140 citations), Molecular Biology (323 citations), Pharmaceutical Science (23 citations) and Toxicology (16 citations). Aline Vertut‐Doï has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Jacques Bolard, Claude M. Gary-Bobo, Marie Chabbert, Koichiro Miyajima, J Brajtburg, Gerald Medoff, Tetsurou Handa, G S Kobayashi, Svetlana Elberg and David Schlessinger. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Biochimica et Biophysica Acta (BBA) - Biomembranes, Biochemical and Biophysical Research Communications, Chemical and Pharmaceutical Bulletin and Biochemistry.

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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