Jürgen Tomasch

3.1k total citations
64 papers, 2.1k citations indexed

About

Jürgen Tomasch is a scholar working on Molecular Biology, Ecology and Oceanography. According to data from OpenAlex, Jürgen Tomasch has authored 64 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 39 papers in Ecology and 10 papers in Oceanography. Recurrent topics in Jürgen Tomasch's work include Microbial Community Ecology and Physiology (33 papers), Genomics and Phylogenetic Studies (17 papers) and Protist diversity and phylogeny (15 papers). Jürgen Tomasch is often cited by papers focused on Microbial Community Ecology and Physiology (33 papers), Genomics and Phylogenetic Studies (17 papers) and Protist diversity and phylogeny (15 papers). Jürgen Tomasch collaborates with scholars based in Germany, Czechia and Denmark. Jürgen Tomasch's co-authors include Irene Wagner‐Döbler, Michael Reck, Hui Wang, Michael Jarek, Helena Sztajer, Szymon P. Szafrański, Zhi-Luo Deng, Dietmar H. Pieper, Manfred Rohde and Susanne Häußler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Jürgen Tomasch

62 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jürgen Tomasch Germany 27 1.3k 941 348 270 201 64 2.1k
Cleber Ouverney United States 15 985 0.8× 905 1.0× 297 0.9× 207 0.8× 87 0.4× 19 1.8k
Jessica L. Mark Welch United States 22 1.4k 1.1× 550 0.6× 1.1k 3.2× 93 0.3× 200 1.0× 41 3.0k
Michael Jarek Germany 34 1.8k 1.4× 548 0.6× 249 0.7× 88 0.3× 375 1.9× 77 3.1k
Arantxa López‐López Spain 22 1.0k 0.8× 1.0k 1.1× 224 0.6× 145 0.5× 68 0.3× 33 1.8k
Ehud Banin Israel 26 977 0.8× 709 0.8× 101 0.3× 330 1.2× 180 0.9× 72 2.8k
Andrea Thürmer Germany 25 1.3k 1.0× 969 1.0× 44 0.1× 94 0.3× 273 1.4× 58 2.7k
Carlos W. Nossa United States 18 815 0.6× 319 0.3× 164 0.5× 30 0.1× 101 0.5× 22 1.9k
Vianney Pichereau France 26 788 0.6× 360 0.4× 38 0.1× 160 0.6× 226 1.1× 87 2.1k
Noah B. Larsen United States 4 1.1k 0.9× 851 0.9× 49 0.1× 100 0.4× 106 0.5× 6 1.9k
Reindert Nijland Netherlands 30 1.5k 1.2× 600 0.6× 88 0.3× 58 0.2× 576 2.9× 68 2.9k

Countries citing papers authored by Jürgen Tomasch

Since Specialization
Citations

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

Fields of papers citing papers by Jürgen Tomasch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jürgen Tomasch

This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Tomasch. A scholar is included among the top collaborators of Jürgen Tomasch 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 Jürgen Tomasch. Jürgen Tomasch 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.
Tomasch, Jürgen, John Vollmers, Lars Wöhlbrand, et al.. (2025). Structural and regulatory determinants of flagellar motility in Rhodobacterales —the archetypal flagellum of Phaeobacter inhibens DSM 17395. mSystems. 10(8). e0041925–e0041925.
2.
Gomez, Nicolas, Arnab Bandyopadhyay, James M. Kramer, et al.. (2025). Epigenetic cellular memory in Pseudomonas aeruginosa generates phenotypic variation in response to host environments. Proceedings of the National Academy of Sciences. 122(27). e2415345122–e2415345122. 1 indexed citations
3.
Tomasch, Jürgen, et al.. (2024). On the evolution of chromosomal regions with high gene strand bias in bacteria. mBio. 15(6). e0060224–e0060224.
4.
5.
Arce‐Rodríguez, Alejandro, et al.. (2022). Evolution of biofilm-adapted gene expression profiles in lasR-deficient clinical Pseudomonas aeruginosa isolates. npj Biofilms and Microbiomes. 8(1). 6–6. 26 indexed citations
6.
7.
Wang, Hui, Christian Boedeker, Helena Sztajer, et al.. (2021). Dinoroseobacter shibae Outer Membrane Vesicles Are Enriched for the Chromosome Dimer Resolution Site dif. mSystems. 6(1). 6 indexed citations
8.
Tomasch, Jürgen, et al.. (2021). Connection Between Chromosomal Location and Function of CtrA Phosphorelay Genes in Alphaproteobacteria. Frontiers in Microbiology. 12. 662907–662907. 8 indexed citations
9.
Preuße, Matthias, et al.. (2020). Genetic determinants of Pseudomonas aeruginosa fitness during biofilm growth. Biofilm. 2. 100023–100023. 18 indexed citations
10.
Thöming, Janne G., Jürgen Tomasch, Matthias Preuße, et al.. (2020). Parallel evolutionary paths to produce more than one Pseudomonas aeruginosa biofilm phenotype. npj Biofilms and Microbiomes. 6(1). 2–2. 43 indexed citations
11.
Strunecký, Otakar, Franz Goecke, Jürgen Tomasch, et al.. (2018). High diversity of thermophilic cyanobacteria in Rupite hot spring identified by microscopy, cultivation, single-cell PCR and amplicon sequencing. Extremophiles. 23(1). 35–48. 34 indexed citations
12.
Tomasch, Jürgen, Hui Wang, Matthias Preuße, et al.. (2018). Packaging of Dinoroseobacter shibae DNA into Gene Transfer Agent Particles Is Not Random. Genome Biology and Evolution. 10(1). 359–369. 42 indexed citations
13.
Duuren, Jozef B. J. H. van, Mathias Müsken, Bianka Karge, et al.. (2017). Use of Single-Frequency Impedance Spectroscopy to Characterize the Growth Dynamics of Biofilm Formation in Pseudomonas aeruginosa. Scientific Reports. 7(1). 5223–5223. 51 indexed citations
14.
Poblete‐Castro, Ignacio, et al.. (2016). Integrated analysis of gene expression and metabolic fluxes in PHA-producing Pseudomonas putida grown on glycerol. Microbial Cell Factories. 15(1). 73–73. 66 indexed citations
15.
Michael, Victoria, Orsola Päuker, Matthias Ebert, et al.. (2016). Gene Flow Across Genus Barriers – Conjugation of Dinoroseobacter shibae’s 191-kb Killer Plasmid into Phaeobacter inhibens and AHL-mediated Expression of Type IV Secretion Systems. Frontiers in Microbiology. 7. 742–742. 19 indexed citations
16.
Szafrański, Szymon P., Zhi-Luo Deng, Jürgen Tomasch, et al.. (2015). Functional biomarkers for chronic periodontitis and insights into the roles of Prevotella nigrescens and Fusobacterium nucleatum; a metatranscriptome analysis. npj Biofilms and Microbiomes. 1(1). 15017–15017. 68 indexed citations
17.
Reck, Michael, Jürgen Tomasch, Zhi-Luo Deng, et al.. (2015). Stool metatranscriptomics: A technical guideline for mRNA stabilisation and isolation. BMC Genomics. 16(1). 494–494. 65 indexed citations
18.
Wang, Hui, Oliver Frank, Victoria Michael, et al.. (2014). The CtrA phosphorelay integrates differentiation and communication in the marine alphaproteobacterium Dinoroseobacter shibae. BMC Genomics. 15(1). 130–130. 45 indexed citations
19.
Kruspe, Dagmar, et al.. (2014). BOR-Syndrome-Associated Eya1 Mutations Lead to Enhanced Proteasomal Degradation of Eya1 Protein. PLoS ONE. 9(1). e87407–e87407. 16 indexed citations
20.
Nagel, Stefan, Stefan Ehrentraut, Jürgen Tomasch, et al.. (2012). Transcriptional Activation of Prostate Specific Homeobox Gene NKX3-1 in Subsets of T-Cell Lymphoblastic Leukemia (T-ALL). PLoS ONE. 7(7). e40747–e40747. 15 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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