Thomas Pfau

2.1k total citations
12 papers, 235 citations indexed

About

Thomas Pfau is a scholar working on Molecular Biology, Biomedical Engineering and Plant Science. According to data from OpenAlex, Thomas Pfau has authored 12 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Biomedical Engineering and 2 papers in Plant Science. Recurrent topics in Thomas Pfau's work include Microbial Metabolic Engineering and Bioproduction (9 papers), Bioinformatics and Genomic Networks (6 papers) and Biofuel production and bioconversion (3 papers). Thomas Pfau is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (9 papers), Bioinformatics and Genomic Networks (6 papers) and Biofuel production and bioconversion (3 papers). Thomas Pfau collaborates with scholars based in Luxembourg, United Kingdom and India. Thomas Pfau's co-authors include Thomas Sauter, Maria Pires Pacheco, Oliver Ebenhöh, George C. diCenzo, Alessio Mengoni, Marco Fondi, Lee Sweetlove, Nils Christian, Shyam Kumar Masakapalli and Mark G. Poolman and has published in prestigious journals such as Nature Communications, Scientific Reports and PLoS Computational Biology.

In The Last Decade

Thomas Pfau

11 papers receiving 232 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Pfau Luxembourg 8 155 65 61 17 15 12 235
Kelsey L. Picard Australia 8 173 1.1× 271 4.2× 51 0.8× 8 0.5× 8 0.5× 9 321
Khanh M. Vuu United States 8 194 1.3× 97 1.5× 55 0.9× 11 0.6× 4 0.3× 10 247
Amiu Shino Japan 9 119 0.8× 31 0.5× 81 1.3× 10 0.6× 18 1.2× 12 206
Ruth Cookson New Zealand 4 88 0.6× 81 1.2× 29 0.5× 29 1.7× 8 0.5× 7 175
Zhuang Meng China 8 84 0.5× 190 2.9× 53 0.9× 4 0.2× 6 0.4× 22 265
Xiaole Yu China 9 202 1.3× 168 2.6× 19 0.3× 7 0.4× 9 0.6× 12 307
Aruna D. Wickramarathna Canada 7 221 1.4× 224 3.4× 28 0.5× 9 0.5× 2 0.1× 8 338
Nora R. Zöllner Germany 3 200 1.3× 209 3.2× 16 0.3× 6 0.4× 10 0.7× 3 302
Helma V. Guedes Brazil 5 39 0.3× 149 2.3× 20 0.3× 8 0.5× 22 1.5× 5 183
Kuan‐Jen Lu Switzerland 9 104 0.7× 277 4.3× 78 1.3× 3 0.2× 11 0.7× 10 425

Countries citing papers authored by Thomas Pfau

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Pfau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Pfau

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

All Works

12 of 12 papers shown
1.
Sauter, Thomas, et al.. (2022). Project-based learning course on metabolic network modelling in computational systems biology. PLoS Computational Biology. 18(1). e1009711–e1009711. 6 indexed citations
2.
Pfau, Thomas, et al.. (2021). A dynamic multi-tissue model to study human metabolism. npj Systems Biology and Applications. 7(1). 5–5. 14 indexed citations
3.
Pfau, Thomas, et al.. (2021). IDARE2—Simultaneous Visualisation of Multiomics Data in Cytoscape. Metabolites. 11(5). 300–300. 3 indexed citations
4.
diCenzo, George C., et al.. (2020). Genome-scale metabolic reconstruction of the symbiosis between a leguminous plant and a nitrogen-fixing bacterium. Nature Communications. 11(1). 2574–2574. 62 indexed citations
5.
6.
Pfau, Thomas, Nils Christian, Shyam Kumar Masakapalli, et al.. (2018). The intertwined metabolism during symbiotic nitrogen fixation elucidated by metabolic modelling. Scientific Reports. 8(1). 12504–12504. 47 indexed citations
7.
Pacheco, Maria Pires, Thomas Pfau, & Thomas Sauter. (2016). Benchmarking Procedures for High-Throughput Context Specific Reconstruction Algorithms. Frontiers in Physiology. 6. 410–410. 27 indexed citations
8.
Sauter, Thomas, et al.. (2016). Constraint Based Modeling Going Multicellular. Frontiers in Molecular Biosciences. 3. 3–3. 27 indexed citations
9.
Adlakha, Nidhi, Thomas Pfau, Oliver Ebenhöh, & Syed Shams Yazdani. (2015). Insight into metabolic pathways of the potential biofuel producer, Paenibacillus polymyxa ICGEB2008. Biotechnology for Biofuels. 8(1). 159–159. 14 indexed citations
10.
Pfau, Thomas, Maria Pires Pacheco, & Thomas Sauter. (2015). Towards improved genome-scale metabolic network reconstructions: unification, transcript specificity and beyond. Briefings in Bioinformatics. 17(6). bbv100–bbv100. 16 indexed citations
11.
Starke, Sandra D., et al.. (2013). Expert visual diagnostics: systematic convergence or random approach?. Perception. 42. 47–47.
12.
Pfau, Thomas, et al.. (2011). Systems approaches to modelling pathways and networks. Briefings in Functional Genomics. 10(5). 266–279. 17 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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