Matthias Wehrmann

865 total citations
9 papers, 647 citations indexed

About

Matthias Wehrmann is a scholar working on Molecular Biology, Pollution and Environmental Engineering. According to data from OpenAlex, Matthias Wehrmann has authored 9 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Pollution and 2 papers in Environmental Engineering. Recurrent topics in Matthias Wehrmann's work include Microbial metabolism and enzyme function (6 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Enzyme Catalysis and Immobilization (2 papers). Matthias Wehrmann is often cited by papers focused on Microbial metabolism and enzyme function (6 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Enzyme Catalysis and Immobilization (2 papers). Matthias Wehrmann collaborates with scholars based in Germany, France and Australia. Matthias Wehrmann's co-authors include Janosch Klebensberger, Patrick Billard, Katharina Gaus, J. Justin Gooding, David J. Williamson, Dylan M. Owen, Astrid Magenau, Jérémie Rossy, Asfaw Zegeye and Nick Wierckx and has published in prestigious journals such as Nature Immunology, ACS Catalysis and Frontiers in Microbiology.

In The Last Decade

Matthias Wehrmann

9 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthias Wehrmann Germany 9 370 111 104 104 93 9 647
Xin Sui China 16 346 0.9× 20 0.2× 100 1.0× 39 0.4× 44 0.5× 30 736
Pei‐Chun Wu China 17 280 0.8× 55 0.5× 9 0.1× 218 2.1× 126 1.4× 41 816
Pei‐Hsun Wu United States 13 153 0.4× 41 0.4× 109 1.0× 75 0.7× 24 0.3× 35 462
Laura L. Degn United States 11 119 0.3× 29 0.3× 59 0.6× 152 1.5× 23 0.2× 20 566
Xiaoxia Cheng China 11 294 0.8× 13 0.1× 15 0.1× 202 1.9× 30 0.3× 19 642
Yi Lian Wu Singapore 6 443 1.2× 17 0.2× 130 1.3× 204 2.0× 76 0.8× 7 1.4k
Lixia Fan China 15 325 0.9× 7 0.1× 22 0.2× 63 0.6× 27 0.3× 47 682
Tianyu Yu China 13 127 0.3× 7 0.1× 26 0.3× 91 0.9× 54 0.6× 20 574
Xinyu Yang China 20 630 1.7× 13 0.1× 90 0.9× 147 1.4× 83 0.9× 56 1.3k
Jingyan Sun China 20 339 0.9× 5 0.0× 27 0.3× 86 0.8× 64 0.7× 54 965

Countries citing papers authored by Matthias Wehrmann

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Wehrmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Wehrmann

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

All Works

9 of 9 papers shown
2.
Wehrmann, Matthias, et al.. (2020). Engineered PQQ-Dependent Alcohol Dehydrogenase for the Oxidation of 5-(Hydroxymethyl)furoic Acid. ACS Catalysis. 10(14). 7836–7842. 22 indexed citations
3.
Wehrmann, Matthias, Charlotte Berthelot, Patrick Billard, & Janosch Klebensberger. (2019). Rare Earth Element (REE)-Dependent Growth of Pseudomonas putida KT2440 Relies on the ABC-Transporter PedA1A2BC and Is Influenced by Iron Availability. Frontiers in Microbiology. 10. 2494–2494. 22 indexed citations
4.
Li, Wing‐Jin, Lahiru N. Jayakody, Mary Ann Franden, et al.. (2019). Laboratory evolution reveals the metabolic and regulatory basis of ethylene glycol metabolism by Pseudomonas putida KT2440. Environmental Microbiology. 21(10). 3669–3682. 108 indexed citations
5.
Wehrmann, Matthias, Charlotte Berthelot, Patrick Billard, & Janosch Klebensberger. (2018). The PedS2/PedR2 Two-Component System Is Crucial for the Rare Earth Element Switch in Pseudomonas putida KT2440. mSphere. 3(4). 31 indexed citations
7.
Wehrmann, Matthias & Janosch Klebensberger. (2017). Engineering thermal stability and solvent tolerance of the soluble quinoprotein PedE from Pseudomonas putida KT2440 with a heterologous whole‐cell screening approach. Microbial Biotechnology. 11(2). 399–408. 11 indexed citations
8.
Williamson, David J., Dylan M. Owen, Jérémie Rossy, et al.. (2011). Pre-existing clusters of the adaptor Lat do not participate in early T cell signaling events. Nature Immunology. 12(7). 655–662. 251 indexed citations
9.
Wildfeuer, A, I. S. Neu, Hasan Safayhi, et al.. (1998). Effects of boswellic acids extracted from a herbal medicine on the biosynthesis of leukotrienes and the course of experimental autoimmune encephalomyelitis.. PubMed. 48(6). 668–74. 39 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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