Susanne Toepfer

841 citations
6 papers · 538 indexed · 1 hit paper · h-index 4
Topics
Innovative Microfluidic and Catalytic Techniques Innovation (2 papers)Gene Regulatory Network Analysis (2 papers)Microbial Metabolic Engineering and Bioproduction (2 papers)
Partner nations
GermanyNetherlands

In The Last Decade

Susanne Toepfer

6 papers receiving 527 citations

Hit Papers

Gene regulatory network inference: Data integration in dy...20082026201420202008100200300400500

Peers

Susanne Toepfer
Comparison fields: 5 of 80
  • Molecular Biology 463
  • Genetics 42
  • Artificial Intelligence 41
  • Computational Theory and Mathematics 30
  • Plant Science 26
Replace Paola Vera‐Licona with:
Paola Vera‐Licona United States
Maksat Ashyraliyev Türkiye
Rainer Opgen-Rhein Germany
Gabriele Lillacci United States
Jingdong Liu China
Marco Donizelli United Kingdom
Brandilyn Stigler United States
Chiara Damiani Italy
Paul Bourgine France
Abhishek Garg Switzerland
Susanne Toepfer relative to Paola Vera‐Licona United States Paola Vera‐Licona's profile →
Citations per field
00.5×1.5×
Paola Vera‐Licona · 1×
Citations per year

Countries citing papers authored by Susanne Toepfer

Since Specialization
Citations

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

Fields of papers citing papers by Susanne Toepfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanne Toepfer

This figure shows the co-authorship network connecting the top 25 collaborators of Susanne Toepfer. A scholar is included among the top collaborators of Susanne Toepfer 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 Susanne Toepfer. Susanne Toepfer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 5
2 2
3
Model-based optimization to explain liver zonation in nitrogen metabolism
3
4
Gene regulatory network inference: Data integration in dynamic models—A reviewbreakdown →
511
5
A 2-compartment model of glutamine and ammonia metabolism in liver tissue
4
6
Reverse Engineering of the Stress Response during Expression of a Recombinant Protein
13

About Susanne Toepfer

Susanne Toepfer is a scholar working on Nutrition and Dietetics, Biomedical Engineering and Molecular Biology, having authored 6 papers that have together received 538 indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Gene Regulatory Network Analysis (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Molecular Biology (463 citations), Biophysics (19 citations) and Computational Theory and Mathematics (30 citations). Susanne Toepfer has collaborated with scholars based in Germany and Netherlands. Frequent co-authors include Reinhard Guthke, Michael Hecker, Eugene van Someren, Wolfgang Schmidt‐Heck, Michael Pfaff, Dominik Driesch, Sebastian Zellmer, Rolf Gebhardt, Thomas Ellinger and Pu Li. Their work appears in journals such as PLoS ONE, Analytical Chemistry and Biosystems.

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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