Thomas Werner

13.0k total citations · 2 hit papers
152 papers, 10.2k citations indexed

About

Thomas Werner is a scholar working on Molecular Biology, Genetics and Spectroscopy. According to data from OpenAlex, Thomas Werner has authored 152 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Molecular Biology, 29 papers in Genetics and 19 papers in Spectroscopy. Recurrent topics in Thomas Werner's work include RNA and protein synthesis mechanisms (23 papers), Genomics and Chromatin Dynamics (23 papers) and Molecular Sensors and Ion Detection (16 papers). Thomas Werner is often cited by papers focused on RNA and protein synthesis mechanisms (23 papers), Genomics and Chromatin Dynamics (23 papers) and Molecular Sensors and Ion Detection (16 papers). Thomas Werner collaborates with scholars based in Germany, United States and Switzerland. Thomas Werner's co-authors include Kornelie Frech, Kerstin Quandt, Edgar Wingender, Holger Karas, Andreas Klingenhoff, Korbinian Grote, Matthias Frisch, Dan Hultmark, Manuela Haltmeier and Bernward Klocke and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Thomas Werner

148 papers receiving 10.0k citations

Hit Papers

Matlnd and Matlnspector: new fast and versatile tools for... 1995 2026 2005 2015 1995 2005 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Werner Germany 43 6.2k 2.1k 1.5k 937 877 152 10.2k
Yutaka Suzuki Japan 50 6.1k 1.0× 1.4k 0.7× 1.3k 0.9× 1.2k 1.3× 534 0.6× 318 9.8k
Marcelo B. Soares United States 49 5.0k 0.8× 868 0.4× 1.4k 0.9× 667 0.7× 613 0.7× 127 8.0k
Sumio Sugano Japan 57 8.2k 1.3× 1.2k 0.6× 2.1k 1.4× 1.3k 1.4× 421 0.5× 296 12.8k
Kevin P. White United States 61 7.9k 1.3× 860 0.4× 2.5k 1.6× 1.1k 1.2× 674 0.8× 159 12.1k
Vineeta Agarwala United States 10 10.0k 1.6× 1.0k 0.5× 2.2k 1.4× 896 1.0× 378 0.4× 18 12.0k
Y. Tony Ip United States 47 4.9k 0.8× 3.0k 1.4× 738 0.5× 500 0.5× 1.4k 1.6× 81 8.3k
Eric H. Baehrecke United States 52 7.7k 1.2× 2.0k 1.0× 713 0.5× 812 0.9× 758 0.9× 96 14.7k
Lakshminarayan M. Iyer United States 56 10.7k 1.7× 1.4k 0.7× 2.3k 1.5× 1.8k 1.9× 266 0.3× 115 14.8k
Anushya Muruganujan United States 14 8.0k 1.3× 1.3k 0.6× 2.1k 1.4× 1.3k 1.4× 213 0.2× 17 12.8k
Huaiyu Mi United States 23 8.5k 1.4× 1.3k 0.6× 2.1k 1.4× 1.2k 1.3× 195 0.2× 41 13.6k

Countries citing papers authored by Thomas Werner

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Werner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Werner

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Werner. A scholar is included among the top collaborators of Thomas Werner 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 Werner. Thomas Werner 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.
Dwivedi, Sushil K., M.G.J. Waters, Yan Zhang, et al.. (2025). A quinolinium-functionalized hemicyanine dye for ratiometric NAD(P)H sensing in live cells, kidney tissues, and Drosophila melanogaster. Sensors and Actuators B Chemical. 442. 138043–138043.
2.
3.
Xia, James, M.G.J. Waters, Yang Zhang, et al.. (2024). Near-Infrared Visualization of NAD(P)H Dynamics in Live Cells and Drosophila melanogaster Larvae Using a Coumarin-Based Pyridinium Fluorescent Probe. ACS Applied Bio Materials. 7(12). 8465–8478. 8 indexed citations
4.
Werner, Thomas, Annemarie Käsbohrer, Sebastian G. Vetter, et al.. (2023). Antimicrobial resistance and its relationship with antimicrobial use on Austrian dairy farms. Frontiers in Veterinary Science. 10. 1225826–1225826. 2 indexed citations
5.
Werner, Thomas, et al.. (2023). Mycotoxin tolerance affects larval competitive ability in Drosophila recens (Diptera: Drosophilidae). Journal of Insect Science. 23(3). 1 indexed citations
6.
Steenwinkel, Tessa E., et al.. (2022). The regulation of a pigmentation gene in the formation of complex color patterns in Drosophila abdomens. PLoS ONE. 17(12). e0279061–e0279061. 2 indexed citations
7.
Zhang, Kui, et al.. (2022). Inter‐ and intraspecific variation in mycotoxin tolerance: A study of four Drosophila species. Ecology and Evolution. 12(7). 5 indexed citations
8.
Steenwinkel, Tessa E., et al.. (2022). The use of non-model Drosophila species to study natural variation in TOR pathway signaling. PLoS ONE. 17(9). e0270436–e0270436. 2 indexed citations
9.
Connahs, Heidi, et al.. (2022). Butterfly eyespots evolved via cooption of an ancestral gene-regulatory network that also patterns antennae, legs, and wings. Proceedings of the National Academy of Sciences. 119(8). 46 indexed citations
10.
Steenwinkel, Tessa E., et al.. (2021). RNA In Situ Hybridization for Detecting Gene Expression Patterns in the Abdomens and Wings of Drosophila Species. Methods and Protocols. 4(1). 20–20. 4 indexed citations
11.
Steenwinkel, Tessa E., et al.. (2021). From Aedes to Zeugodacus: a review of dipteran body coloration studies regarding evolutionary developmental biology, pest control, and species discovery. Current Opinion in Genetics & Development. 69. 35–41. 3 indexed citations
12.
Techtmann, Stephen M., et al.. (2021). Codon usage bias and dinucleotide preference in 29 Drosophila species. G3 Genes Genomes Genetics. 11(8). 10 indexed citations
13.
Steenwinkel, Tessa E., et al.. (2020). The Making of Transgenic Drosophila guttifera. Methods and Protocols. 3(2). 31–31. 5 indexed citations
14.
Xia, Shuai, Yibin Zhang, Mingxi Fang, et al.. (2019). A FRET‐Based Near‐Infrared Fluorescent Probe for Ratiometric Detection of Cysteine in Mitochondria. ChemBioChem. 20(15). 1986–1994. 30 indexed citations
15.
Vogel, Kara R., Ian M. Greenlund, Zachary Johnson, et al.. (2017). α-amanitin resistance in Drosophila melanogaster: A genome-wide association approach. PLoS ONE. 12(2). e0173162–e0173162. 10 indexed citations
16.
Werner, Thomas. (2008). Bioinformatics applications for pathway analysis of microarray data. Current Opinion in Biotechnology. 19(1). 50–54. 130 indexed citations
17.
Ziegler-Heitbrock, Löms, et al.. (2003). IFN-α Induces the Human IL-10 Gene by Recruiting Both IFN Regulatory Factor 1 and Stat3. The Journal of Immunology. 171(1). 285–290. 114 indexed citations
18.
Choe, Kwang‐Min, Thomas Werner, Svenja Stöven, Dan Hultmark, & Kathryn V. Anderson. (2002). Requirement for a Peptidoglycan Recognition Protein (PGRP) in Relish Activation and Antibacterial Immune Responses in Drosophila. Science. 296(5566). 359–362. 493 indexed citations
19.
Frisch, Matthias, Kornelie Frech, Andreas Klingenhoff, et al.. (2000). A New Tool for the in Silico Prediction of Matrix Attachment Regions in Large Genomic Sequences.. 27–34. 3 indexed citations
20.
Grote, Korbinian, Ralf Schneider, & Thomas Werner. (1999). Kohonen maps are suitable for a biologically meaningful classification of transcription factor binding site matrices.. 198–199. 2 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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