Benoît Biais

2.0k citations
24 papers · 1.5k · h-index 20

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 6
    • Plant Gene Expression Analysis 3
    • Plant biochemistry and biosynthesis 3
    • GABA and Rice Research 4
    • Plant Physiology and Cultivation Studies 3
    • Plant Molecular Biology Research 2

Benoît Biais

24 papers receiving 1.4k citations

Peers

Benoît Biais
Comparison fields: 5 of 87
  • Biochemistry 203
  • Geriatrics and Gerontology 105
  • Plant Science 845
  • Food Science 272
  • Nutrition and Dietetics 173
Replace Zhenzhen Cai with:
Zhenzhen Cai Germany
Reinhard Eder Austria
Clive Lo Hong Kong
Stéphanie Cluzet France
James R. Ballington United States
Raffaele Tabacchi Switzerland
Julie Chong France
Michikatsu Sato Japan
Benhong Wu China
Christian Möllers Germany
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Citations per field
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Citations per year

Countries citing papers authored by Benoît Biais

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Biais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013196
2 2006119
3 2014108
4 2009100
5 201488
6 201779
7 201077
8 201773
9 201667
10 201565
11 201464
12 201463
13 201662
14 201761
15 200958
16 201135
17 200829
18 201728
19 201326
20 201722

About Benoît Biais

Benoît Biais is a scholar working on Molecular Biology, Plant Science, Geriatrics and Gerontology, Biochemistry and Nutrition and Dietetics, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (6 papers), GABA and Rice Research (4 papers), Sirtuins and Resveratrol in Medicine (4 papers), Phytochemicals and Antioxidant Activities (4 papers), Plant Physiology and Cultivation Studies (3 papers), Plant Gene Expression Analysis (3 papers), Plant biochemistry and biosynthesis (3 papers) and Plant Molecular Biology Research (2 papers). The work is most often cited by research in Biochemistry (203 citations), Geriatrics and Gerontology (105 citations), Plant Science (845 citations), Food Science (272 citations) and Nutrition and Dietetics (173 citations). Benoît Biais has collaborated with scholars based in France, Morocco and United Kingdom. Frequent co-authors include Yves Gibon, Tristan Richard, Jean‐Michel Mérillon, Pierre Waffo‐Téguo, Bertrand Beauvoit, Annick Moing, Mickaël Maucourt, Catherine Deborde, Camille Bénard and Patricia Le Bail. Their work appears in journals such as Journal of Agricultural and Food Chemistry, PLANT PHYSIOLOGY, Frontiers in Plant Science, Metabolomics and Industrial Crops and Products.

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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