Beat Mollet

3.2k citations
46 papers · 2.4k indexed · h-index 26

Impact in

Papers in

    • Genomics and Phylogenetic Studies 12
    • RNA and protein synthesis mechanisms 11
    • Biochemical and Structural Characterization 4
    • Gut microbiota and health 3
    • Probiotics and Fermented Foods 26

Beat Mollet

46 papers receiving 2.3k citations

Peers

Beat Mollet
Comparison fields: 5 of 99
  • Food Science 1.5k
  • Nutrition and Dietetics 768
  • Molecular Medicine 172
  • Biotechnology 296
  • Molecular Biology 1.5k
Replace Paloma López with:
Paloma López Spain
Christian Chervaux France
Jacek Bardowski Poland
Ljubiša Topisirović Serbia
S. Dusko Ehrlich France
Pascal Courtin France
Bernard Decaris France
Marke M. Beerthuyzen Netherlands
Tapani Alatossava Finland
Ralf Zink Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Beat Mollet

Since Specialization
Citations

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

Fields of papers citing papers by Beat Mollet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004385
2 2001334
3 1996262
4 1997116
5 1983111
6 199699
7 200482
8 199074
9 200269
10 200356
11 198451
12 199546
13 199645
14 199343
15 200242
16 199941
17 200340
18 199939
19 198538
20 199138

About Beat Mollet

Beat Mollet is a scholar working on Molecular Biology, Food Science, Genetics, Nutrition and Dietetics and Ecology, having authored 46 papers that have together received 2.4k indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (26 papers), Bacterial Genetics and Biotechnology (17 papers), Genomics and Phylogenetic Studies (12 papers), RNA and protein synthesis mechanisms (11 papers), Microbial Metabolites in Food Biotechnology (9 papers), Bacteriophages and microbial interactions (7 papers), Biochemical and Structural Characterization (4 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Food Science (1.5k citations), Nutrition and Dietetics (768 citations), Molecular Medicine (172 citations), Biotechnology (296 citations) and Molecular Biology (1.5k citations). Beat Mollet has collaborated with scholars based in Switzerland, United States and Netherlands. Frequent co-authors include Philippe Duboc, Francesca Stingele, Jean‐Richard Neeser, Jacques‐Edouard Germond, Shigeru Iida, Werner Arber, Michèle Delley, Bert Poolman, R. David Pridmore and Frank Desiere. Their work appears in journals such as Journal of Bacteriology, International Dairy Journal, Applied and Environmental Microbiology, Systematic and Applied Microbiology and Nucleic Acids Research.

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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