Herwig Bachmann

2.5k total citations
55 papers, 1.8k citations indexed

About

Herwig Bachmann is a scholar working on Molecular Biology, Food Science and Genetics. According to data from OpenAlex, Herwig Bachmann has authored 55 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 36 papers in Food Science and 15 papers in Genetics. Recurrent topics in Herwig Bachmann's work include Probiotics and Fermented Foods (34 papers), Microbial Metabolic Engineering and Bioproduction (16 papers) and Genomics and Phylogenetic Studies (10 papers). Herwig Bachmann is often cited by papers focused on Probiotics and Fermented Foods (34 papers), Microbial Metabolic Engineering and Bioproduction (16 papers) and Genomics and Phylogenetic Studies (10 papers). Herwig Bachmann collaborates with scholars based in Netherlands, France and Austria. Herwig Bachmann's co-authors include Bas Teusink, Douwe Molenaar, Michiel Kleerebezem, Johan E. T. van Hylckama Vlieg, Roland J. Siezen, Oscar P. Kuipers, Jan Kok, Filipe Branco dos Santos, William J. Kelly and Ana Solopova and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Herwig Bachmann

54 papers receiving 1.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Herwig Bachmann 1.1k 802 378 223 197 55 1.8k
Marjo Starrenburg 1.4k 1.3× 1.3k 1.6× 247 0.7× 628 2.8× 188 1.0× 36 2.2k
Maarten Aerts 786 0.7× 728 0.9× 177 0.5× 204 0.9× 82 0.4× 40 1.7k
Christophe Monnet 977 0.9× 927 1.2× 109 0.3× 198 0.9× 133 0.7× 50 1.5k
Claire Shearman 1.1k 1.0× 779 1.0× 347 0.9× 334 1.5× 108 0.5× 35 1.9k
Michael Callanan 905 0.8× 1.1k 1.4× 234 0.6× 399 1.8× 97 0.5× 51 2.0k
Paul V. Attfield 1.6k 1.4× 692 0.9× 234 0.6× 158 0.7× 648 3.3× 50 2.3k
Stéphane Chaillou 1.0k 1.0× 1.1k 1.4× 146 0.4× 303 1.4× 175 0.9× 53 1.7k
Valérie Gagnaire 1.2k 1.1× 1.3k 1.7× 149 0.4× 341 1.5× 66 0.3× 60 1.9k
Joey D. Marugg 989 0.9× 882 1.1× 277 0.7× 435 2.0× 94 0.5× 35 2.2k
Tai Uchimura 1.2k 1.1× 725 0.9× 97 0.3× 258 1.2× 304 1.5× 68 2.0k

Countries citing papers authored by Herwig Bachmann

Since Specialization
Citations

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

Fields of papers citing papers by Herwig Bachmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Herwig Bachmann

This figure shows the co-authorship network connecting the top 25 collaborators of Herwig Bachmann. A scholar is included among the top collaborators of Herwig Bachmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Herwig Bachmann. Herwig Bachmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Schalkwijk, Saskia van, Soenita S. Goerdayal, Andrei Prodan, et al.. (2024). Biopurification using non-growing microorganisms to improve plant protein ingredients. npj Science of Food. 8(1). 48–48. 8 indexed citations
3.
Boeren, Sjef, et al.. (2023). The hierarchy of sugar catabolization in Lactococcus cremoris. Microbiology Spectrum. 11(6). e0224823–e0224823. 3 indexed citations
4.
5.
Gottstein, Willi, et al.. (2021). Selection for Cell Yield Does Not Reduce Overflow Metabolism in Escherichia coli. Molecular Biology and Evolution. 39(1). 9 indexed citations
6.
Chen, Yu, Sjef Boeren, Herwig Bachmann, et al.. (2021). Proteome constraints reveal targets for improving microbial fitness in nutrient‐rich environments. Molecular Systems Biology. 17(4). e10093–e10093. 33 indexed citations
7.
Margalho, Larissa P., Bruna A. Kamimura, Ramon Peres Brexó, et al.. (2021). High throughput screening of technological and biopreservation traits of a large set of wild lactic acid bacteria from Brazilian artisanal cheeses. Food Microbiology. 100. 103872–103872. 23 indexed citations
8.
Bachmann, Herwig, et al.. (2021). Stationary Lactococcus cremoris: Energetic State, Protein Synthesis Without Nitrogen and Their Effect on Survival. Frontiers in Microbiology. 12. 794316–794316. 2 indexed citations
9.
Rijavec, Tomaž, Aleš Lapanje, Iris van Swam, et al.. (2020). Microbial competition reduces metabolic interaction distances to the low µm-range. The ISME Journal. 15(3). 688–701. 32 indexed citations
10.
Margalho, Larissa P., Saskia van Schalkwijk, Herwig Bachmann, & Anderson S. Sant’Ana. (2020). Enterococcus spp. in Brazilian artisanal cheeses: Occurrence and assessment of phenotypic and safety properties of a large set of strains through the use of high throughput tools combined with multivariate statistics. Food Control. 118. 107425–107425. 29 indexed citations
11.
Hermans, Jos, et al.. (2020). Enhancement of amino acid production and secretion by Lactococcus lactis using a droplet-based biosensing and selection system. Metabolic Engineering Communications. 11. e00133–e00133. 24 indexed citations
12.
Solopova, Ana, et al.. (2019). Ampicillin-treated Lactococcus lactis MG1363 populations contain persisters as well as viable but non-culturable cells. Scientific Reports. 9(1). 9867–9867. 13 indexed citations
13.
Teusink, Bas, et al.. (2019). Microdroplet screening and selection for improved microbial production of extracellular compounds. Current Opinion in Biotechnology. 61. 72–81. 34 indexed citations
14.
Huppertz, Thom, Marke M. Beerthuyzen, Saskia van Schalkwijk, et al.. (2017). Cell Surface Properties of Lactococcus lactis Reveal Milk Protein Binding Specifically Evolved in Dairy Isolates. Frontiers in Microbiology. 8. 1691–1691. 19 indexed citations
15.
Solopova, Ana, Jordi van Gestel, Franz J. Weissing, et al.. (2014). Bet-hedging during bacterial diauxic shift. Proceedings of the National Academy of Sciences. 111(20). 7427–7432. 183 indexed citations
16.
Bachmann, Herwig, et al.. (2013). Availability of public goods shapes the evolution of competing metabolic strategies. Proceedings of the National Academy of Sciences. 110(35). 14302–14307. 129 indexed citations
17.
Bachmann, Herwig, Marjo Starrenburg, Douwe Molenaar, Michiel Kleerebezem, & Johan E. T. van Hylckama Vlieg. (2011). Microbial domestication signatures of Lactococcus lactis can be reproduced by experimental evolution. Genome Research. 22(1). 115–124. 127 indexed citations
18.
Bachmann, Herwig, et al.. (2009). A high-throughput cheese manufacturing model for effective cheese starter culture screening. Journal of Dairy Science. 92(12). 5868–5882. 35 indexed citations
19.
Siezen, Roland J. & Herwig Bachmann. (2008). Genomics of dairy fermentations. Microbial Biotechnology. 1(6). 435–442. 5 indexed citations
20.
Rademaker, J. L. W., et al.. (2006). Natural diversity and adaptive responses of Lactococcus lactis. Current Opinion in Biotechnology. 17(2). 183–190. 94 indexed citations

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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