Marie Binet

870 citations
21 papers · 705 · h-index 13

Impact in

Papers in

Marie Binet

21 papers receiving 688 citations

Peers

Marie Binet
Comparison fields: 5 of 89
  • Endocrinology 128
  • Nutrition and Dietetics 146
  • Health, Toxicology and Mutagenesis 133
  • Biochemistry 43
  • Pollution 58
Replace Ge Wang with:
Ge Wang China
Hiroki Kubota Japan
Roman A. Siddiqui Germany
Deenah Osman United Kingdom
Marie‐Andrée Mandrand‐Berthelot France
Andrew P. Morby United Kingdom
Efrén Ordóñez Spain
Gonzalo A. Pradenas Chile
Susanne Sievers Germany
Mario A. Pennella United States
Marie Binet relative to Ge Wang China Ge Wang's profile →
Citations per field
00.5×2.8×
Ge Wang · 1×
Citations per year

Countries citing papers authored by Marie Binet

Since Specialization
Citations

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

Fields of papers citing papers by Marie Binet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200297
2 200397
3 200095
4 200086
5 199966
6 201364
7 200840
8 199522
9 202319
10 200217
11 201116
12 201616
13 199815
14 200010
15 201310
16 19998
17 20168
18 19987
19 20135
20 20154

About Marie Binet

Marie Binet is a scholar working on Endocrinology, Health, Toxicology and Mutagenesis, Nutrition and Dietetics, Genetics and Molecular Biology, having authored 21 papers that have together received 705 indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (8 papers), Trace Elements in Health (4 papers), Water Treatment and Disinfection (4 papers), Vibrio bacteria research studies (3 papers), Radioactive element chemistry and processing (3 papers), Bacterial Genetics and Biotechnology (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and Microbial infections and disease research (2 papers). The work is most often cited by research in Endocrinology (128 citations), Nutrition and Dietetics (146 citations), Health, Toxicology and Mutagenesis (133 citations), Biochemistry (43 citations) and Pollution (58 citations). Marie Binet has collaborated with scholars based in France and United Kingdom. Frequent co-authors include Robert K. Poole, Guanghui Wu, Cameron W. McLeod, Renli Ma, Martin Hughes, Arthur J.G. Moir, Odile Bouvet, Michel Ponchet, Alain Pugin and Angela Lebrun‐Garcia. Their work appears in journals such as Microbiology, Journal of Biological Chemistry, European Journal of Biochemistry, FEMS Microbiology Ecology and International Journal of Hygiene and Environmental Health.

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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