Søren D. Petersen

1.3k total citations
18 papers, 992 citations indexed

About

Søren D. Petersen is a scholar working on Molecular Biology, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Søren D. Petersen has authored 18 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Control and Systems Engineering and 3 papers in Biomedical Engineering. Recurrent topics in Søren D. Petersen's work include Microbial Metabolic Engineering and Bioproduction (7 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Analytical Chemistry and Chromatography (2 papers). Søren D. Petersen is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (7 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Analytical Chemistry and Chromatography (2 papers). Søren D. Petersen collaborates with scholars based in Denmark, Germany and United States. Søren D. Petersen's co-authors include Albert A. de Graaf, Wolfgang Wiechert, Michael Möllney, Hermann Sahm, Lothar Eggeling, Christian U. Riedel, Bernhard J. Eikmanns, Michael K. Jensen, Jay D. Keasling and Jie Zhang and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Søren D. Petersen

17 papers receiving 973 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Søren D. Petersen Denmark 11 841 230 99 81 65 18 992
Hans‐Peter Meyer Switzerland 16 552 0.7× 214 0.9× 40 0.4× 58 0.7× 35 0.5× 37 756
Carola Söhngen Germany 6 683 0.8× 121 0.5× 65 0.7× 57 0.7× 28 0.4× 7 848
Ursula Schell Germany 18 673 0.8× 242 1.1× 97 1.0× 88 1.1× 48 0.7× 26 985
Christopher Sellick United Kingdom 18 1.0k 1.2× 156 0.7× 63 0.6× 84 1.0× 29 0.4× 30 1.2k
Roger L. Chang United States 15 1.3k 1.5× 277 1.2× 72 0.7× 129 1.6× 37 0.6× 21 1.5k
Luca Gerosa United States 12 1.2k 1.4× 164 0.7× 109 1.1× 333 4.1× 50 0.8× 20 1.4k
Yifan Xu United States 13 790 0.9× 102 0.4× 70 0.7× 211 2.6× 62 1.0× 20 1.0k
Edern Cahoreau France 17 444 0.5× 89 0.4× 47 0.5× 56 0.7× 39 0.6× 29 667
Reidun Sirevåg Norway 15 821 1.0× 210 0.9× 236 2.4× 41 0.5× 62 1.0× 23 1.1k
Christophe Chassagnole France 13 752 0.9× 133 0.6× 54 0.5× 109 1.3× 57 0.9× 37 826

Countries citing papers authored by Søren D. Petersen

Since Specialization
Citations

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

Fields of papers citing papers by Søren D. Petersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Søren D. Petersen. 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 Søren D. Petersen. The network helps show where Søren D. Petersen may publish in the future.

Co-authorship network of co-authors of Søren D. Petersen

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

All Works

18 of 18 papers shown
1.
Mansourvar, Marjan, Søren D. Petersen, Jakob Blæsbjerg Hoof, et al.. (2024). Automatic classification of fungal-fungal interactions using deep leaning models. Computational and Structural Biotechnology Journal. 23. 4222–4231. 6 indexed citations
2.
Petersen, Søren D., Jan Madsen, Lea G. Hansen, et al.. (2024). teemi: An open-source literate programming approach for iterative design-build-test-learn cycles in bioengineering. PLoS Computational Biology. 20(3). e1011929–e1011929. 6 indexed citations
3.
Tang, Fushun, et al.. (2024). Process modelling and high-throughput thermochemical calculations using ChemApp for Python. 771–780. 1 indexed citations
4.
Petersen, Søren D., et al.. (2024). Novel rapid screening assay to incorporate complexity and increase throughput in early-stage plant biological testing. Rhizosphere. 30. 100897–100897. 1 indexed citations
5.
Petersen, Carsten Tilbæk, et al.. (2023). Yield prediction in spring barley from spectral reflectance and weather data using machine learning. Soil Use and Management. 39(2). 975–987. 3 indexed citations
6.
Petersen, Søren D., Kristoffer E. Johansson, Amelie Stein, et al.. (2023). HSP70-binding motifs function as protein quality control degrons. Cellular and Molecular Life Sciences. 80(1). 32–32. 15 indexed citations
7.
Zhang, Jie, Søren D. Petersen, Tijana Radivojević, et al.. (2020). Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism. Nature Communications. 11(1). 4880–4880. 207 indexed citations
8.
Petersen, Søren D., et al.. (2018). Snake Venomics Display: An online toolbox for visualization of snake venomics data. Toxicon. 152. 60–64. 11 indexed citations
9.
Petersen, Søren D., Jie Zhang, Jae Seong Lee, et al.. (2018). Modular 5′-UTR hexamers for context-independent tuning of protein expression in eukaryotes. Nucleic Acids Research. 46(21). e127–e127. 19 indexed citations
10.
Genee, Hans Jasper, Søren D. Petersen, Solvej Siedler, et al.. (2016). Functional mining of transporters using synthetic selections. Nature Chemical Biology. 12(12). 1015–1022. 57 indexed citations
11.
Lieres, Eric von, Søren D. Petersen, & Wolfgang Wiechert. (2004). A Multi-Scale Modeling Concept and Computational Tools for the Integrative Analysis of Stationary Metabolic Data. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 1(1). 38–51. 2 indexed citations
12.
Petersen, Søren D., Christina Mack, Albert A. de Graaf, et al.. (2001). Metabolic Consequences of Altered PhosphoenolpyruvateCarboxykinase Activity in Corynebacterium glutamicum Reveal Anaplerotic Regulation Mechanisms in Vivo. Metabolic Engineering. 3(4). 344–361. 85 indexed citations
13.
Wiechert, Wolfgang, Michael Möllney, Søren D. Petersen, & Albert A. de Graaf. (2001). A Universal Framework for 13C Metabolic Flux Analysis. Metabolic Engineering. 3(3). 265–283. 274 indexed citations
14.
Riedel, Christian U., Doris Rittmann, Petra Dangel, et al.. (2001). Characterization of the phosphoenolpyruvate carboxykinase gene from Corynebacterium glutamicum and significance of the enzyme for growth and amino acid production.. PubMed. 3(4). 573–83. 88 indexed citations
15.
Petersen, Søren D., Albert A. de Graaf, Lothar Eggeling, et al.. (2000). In Vivo Quantification of Parallel and Bidirectional Fluxes in the Anaplerosis of Corynebacterium glutamicum. Journal of Biological Chemistry. 275(46). 35932–35941. 160 indexed citations
16.
Wenzl, H., et al.. (1991). Phase relations in GaAs crystal growth. Journal of Crystal Growth. 109(1-4). 191–204. 20 indexed citations
17.
Glünder, G, et al.. (1991). [The occurrence of Campylobacter spp. and Salmonella spp. in gulls in northern Germany].. PubMed. 98(4). 152–5. 10 indexed citations
18.
Decker, D. L., Søren D. Petersen, D. Debray, & Marc Lambert. (1979). Pressure-induced ferroelastic phase transition inPb3(PO4)2: A neutron-diffraction study. Physical review. B, Condensed matter. 19(7). 3552–3555. 27 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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