Anne Goelzer

2.4k total citations
23 papers, 831 citations indexed

About

Anne Goelzer is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Anne Goelzer has authored 23 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 6 papers in Biomedical Engineering and 5 papers in Genetics. Recurrent topics in Anne Goelzer's work include Microbial Metabolic Engineering and Bioproduction (18 papers), Gene Regulatory Network Analysis (13 papers) and Biofuel production and bioconversion (6 papers). Anne Goelzer is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (18 papers), Gene Regulatory Network Analysis (13 papers) and Biofuel production and bioconversion (6 papers). Anne Goelzer collaborates with scholars based in France, Germany and United States. Anne Goelzer's co-authors include Vincent Fromion, Gérard Scorletti, Stéphane Aymerich, Carole Camarasa, Sylvie Dequin, Philippe Noirot, Dörte Becher, Jan Muntel, Michael Hecker and Matthieu Jules and has published in prestigious journals such as Bioinformatics, Scientific Reports and Automatica.

In The Last Decade

Anne Goelzer

23 papers receiving 826 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anne Goelzer France 13 747 235 173 66 64 23 831
Ranno Nahku Estonia 10 577 0.8× 120 0.5× 164 0.9× 128 1.9× 40 0.6× 14 739
Roelco J. Kleijn Netherlands 12 749 1.0× 128 0.5× 204 1.2× 33 0.5× 79 1.2× 15 913
Colton J. Lloyd United States 17 1.4k 1.9× 578 2.5× 200 1.2× 31 0.5× 55 0.9× 22 1.5k
Patrick V. Phaneuf United States 13 517 0.7× 121 0.5× 207 1.2× 29 0.4× 38 0.6× 27 608
Peter Rugbjerg Denmark 12 554 0.7× 131 0.6× 128 0.7× 33 0.5× 28 0.4× 20 650
Jameson K. Rogers United States 8 1.0k 1.4× 213 0.9× 203 1.2× 14 0.2× 27 0.4× 9 1.1k
Alberto Marı́n-Sanguino Germany 13 443 0.6× 78 0.3× 42 0.2× 20 0.3× 108 1.7× 30 555
Noah D. Taylor United States 6 858 1.1× 156 0.7× 192 1.1× 12 0.2× 31 0.5× 6 920
Martín Peralta-Gil Mexico 8 756 1.0× 74 0.3× 304 1.8× 21 0.3× 86 1.3× 9 908
Gunnar Schramm Germany 9 826 1.1× 211 0.9× 72 0.4× 14 0.2× 21 0.3× 13 912

Countries citing papers authored by Anne Goelzer

Since Specialization
Citations

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

Fields of papers citing papers by Anne Goelzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Goelzer

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Goelzer. A scholar is included among the top collaborators of Anne Goelzer 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 Anne Goelzer. Anne Goelzer 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
1.
Goelzer, Anne, Loïc Rajjou, G Chardon, Olivier Loudet, & Vincent Fromion. (2024). Resource allocation modeling for autonomous prediction of plant cell phenotypes. Metabolic Engineering. 83. 86–101. 4 indexed citations
2.
Karr, Jonathan R., et al.. (2023). RBAtools: a programming interface for Resource Balance Analysis models. Bioinformatics Advances. 3(1). vbad056–vbad056. 4 indexed citations
3.
Fischer, Stephan, et al.. (2021). BiPSim: a flexible and generic stochastic simulator for polymerization processes. Scientific Reports. 11(1). 14112–14112. 2 indexed citations
4.
Henry, Vincent, Fatiha Saïs, Elodie Marchadier, et al.. (2020). BiPOm: a rule-based ontology to represent and infer molecule knowledge from a biological process-centered viewpoint. BMC Bioinformatics. 21(1). 327–327. 2 indexed citations
5.
Fischer, Stephan, Wolfram Liebermeister, Laurent Tournier, et al.. (2019). Automated generation of bacterial resource allocation models. Metabolic Engineering. 55. 12–22. 39 indexed citations
6.
Goelzer, Anne, et al.. (2018). Dynamical resource allocation models for bioreactor optimization. IFAC-PapersOnLine. 51(19). 20–23. 12 indexed citations
7.
Tournier, Laurent, Anne Goelzer, & Vincent Fromion. (2017). Optimal resource allocation enables mathematical exploration of microbial metabolic configurations. Journal of Mathematical Biology. 75(6-7). 1349–1380. 10 indexed citations
8.
Henry, Vincent, Anne Goelzer, Stephan Fischer, et al.. (2017). The bacterial interlocked process ONtology (BiPON): a systemic multi-scale unified representation of biological processes in prokaryotes. Journal of Biomedical Semantics. 8(1). 53–53. 3 indexed citations
9.
Chen, Tao, Boyang Ji, Vaishnavi Ravikumar, et al.. (2017). Conversion of Glycerol to 3-Hydroxypropanoic Acid by Genetically Engineered Bacillus subtilis. Frontiers in Microbiology. 8. 638–638. 23 indexed citations
10.
Goelzer, Anne & Vincent Fromion. (2017). Resource allocation in living organisms. Biochemical Society Transactions. 45(4). 945–952. 35 indexed citations
11.
Faria, José P., Ross Overbeek, Ronald C. Taylor, et al.. (2016). Reconstruction of the Regulatory Network for Bacillus subtilis and Reconciliation with Gene Expression Data. Frontiers in Microbiology. 7. 275–275. 12 indexed citations
12.
Borkowski, Olivier, Anne Goelzer, Marc Schaffer, et al.. (2016). Translation elicits a growth rate‐dependent, genome‐wide, differential protein production in Bacillus subtilis. Molecular Systems Biology. 12(5). 870–870. 49 indexed citations
13.
Goelzer, Anne, Jan Muntel, Victor Chubukov, et al.. (2015). Quantitative prediction of genome-wide resource allocation in bacteria. Metabolic Engineering. 32. 232–243. 104 indexed citations
14.
Muntel, Jan, Vincent Fromion, Anne Goelzer, et al.. (2014). Comprehensive Absolute Quantification of the Cytosolic Proteome of Bacillus subtilis by Data Independent, Parallel Fragmentation in Liquid Chromatography/Mass Spectrometry (LC/MSE). Molecular & Cellular Proteomics. 13(4). 1008–1019. 78 indexed citations
15.
16.
Goelzer, Anne, et al.. (2012). A constraint-based model analysis of the metabolic consequences of increased NADPH oxidation in Saccharomyces cerevisiae. Metabolic Engineering. 14(4). 366–379. 61 indexed citations
17.
Goelzer, Anne & Vincent Fromion. (2011). Bacterial growth rate reflects a bottleneck in resource allocation. Biochimica et Biophysica Acta (BBA) - General Subjects. 1810(10). 978–988. 72 indexed citations
18.
Goelzer, Anne, Vincent Fromion, & Gérard Scorletti. (2009). Cell design in bacteria as a convex optimization problem. SPIRE - Sciences Po Institutional REpository. 4517–4522. 52 indexed citations
19.
Goelzer, Anne, Isabelle Martin‐Verstraete, Philippe Noirot, et al.. (2008). Reconstruction and analysis of the genetic and metabolic regulatory networks of the central metabolism of Bacillus subtilis. BMC Systems Biology. 2(1). 20–20. 98 indexed citations
20.
Goelzer, Anne, Brigitte Charnomordic, Sophie Colombié, Vincent Fromion, & Jean‐Marie Sablayrolles. (2008). Simulation and optimization software for alcoholic fermentation in winemaking conditions. Food Control. 20(7). 635–642. 19 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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