Ute Metzger

582 total citations
8 papers, 405 citations indexed

About

Ute Metzger is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Ute Metzger has authored 8 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Pharmacology and 2 papers in Oncology. Recurrent topics in Ute Metzger's work include Computational Drug Discovery Methods (2 papers), Plant biochemistry and biosynthesis (2 papers) and Microbial Metabolism and Applications (1 paper). Ute Metzger is often cited by papers focused on Computational Drug Discovery Methods (2 papers), Plant biochemistry and biosynthesis (2 papers) and Microbial Metabolism and Applications (1 paper). Ute Metzger collaborates with scholars based in Germany, United Kingdom and France. Ute Metzger's co-authors include Lutz Heide, Inge Unsöld, Thilo Stehle, Shu‐Ming Li, Georg Zocher, C. Schall, Markus F. Templin, Andreas Zell, Michael Schwarz and Albert Braeuning and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Ute Metzger

8 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ute Metzger Germany 8 292 159 39 36 34 8 405
Asha Kulkarni‐Almeida India 13 212 0.7× 123 0.8× 19 0.5× 50 1.4× 163 4.8× 19 493
Huei‐Chen Huang Taiwan 10 200 0.7× 114 0.7× 38 1.0× 55 1.5× 35 1.0× 13 485
Po-Cheng Chiang Taiwan 10 227 0.8× 84 0.5× 40 1.0× 17 0.5× 126 3.7× 11 490
Escher L. Howard-Williams United States 6 222 0.8× 196 1.2× 18 0.5× 59 1.6× 57 1.7× 10 469
Danqing Xu China 13 305 1.0× 73 0.5× 39 1.0× 17 0.5× 69 2.0× 16 515
Maryann L. Shen United States 8 154 0.5× 73 0.5× 33 0.8× 19 0.5× 24 0.7× 8 368
Zhiying Weng China 14 398 1.4× 83 0.5× 42 1.1× 136 3.8× 53 1.6× 42 578
Carmen Cascales Spain 11 219 0.8× 130 0.8× 22 0.6× 45 1.3× 60 1.8× 20 479
Mounia Guerram China 11 259 0.9× 36 0.2× 35 0.9× 56 1.6× 23 0.7× 12 380
Lamees Hegazy United States 13 191 0.7× 38 0.2× 33 0.8× 22 0.6× 128 3.8× 28 421

Countries citing papers authored by Ute Metzger

Since Specialization
Citations

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

Fields of papers citing papers by Ute Metzger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ute Metzger

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

All Works

8 of 8 papers shown
1.
Braeuning, Albert, M Geissler, Sabine Colnot, et al.. (2016). Tumor promotion and inhibition by phenobarbital in livers of conditional Apc-deficient mice. Archives of Toxicology. 90(6). 1481–1494. 18 indexed citations
2.
Keller, Roland, Maria Thomas, Andreas Dräger, et al.. (2016). Coordinating Role of RXRα in Downregulating Hepatic Detoxification during Inflammation Revealed by Fuzzy-Logic Modeling. PLoS Computational Biology. 12(1). e1004431–e1004431. 33 indexed citations
3.
Gao, Xuefan, Ute Metzger, Hans‐Martin Maischein, et al.. (2015). A Floor-Plate Extracellular Protein-Protein Interaction Screen Identifies Draxin as a Secreted Netrin-1 Antagonist. Cell Reports. 12(4). 694–708. 29 indexed citations
4.
Römer, Michael, Johannes Eichner, Ute Metzger, et al.. (2014). Cross-Platform Toxicogenomics for the Prediction of Non-Genotoxic Hepatocarcinogenesis in Rat. PLoS ONE. 9(5). e97640–e97640. 36 indexed citations
5.
Eichner, Johannes, Clemens Wrzodek, Harri Lempiäinen, et al.. (2014). Ha‐ras and β‐catenin oncoproteins orchestrate metabolic programs in mouse liver tumors. International Journal of Cancer. 135(7). 1574–1585. 26 indexed citations
6.
Metzger, Ute, Sascha Keller, Clare E. M. Stevenson, Lutz Heide, & David M. Lawson. (2010). Structure and Mechanism of the Magnesium-Independent Aromatic Prenyltransferase CloQ from the Clorobiocin Biosynthetic Pathway. Journal of Molecular Biology. 404(4). 611–626. 43 indexed citations
7.
Giera, Stefanie, Albert Braeuning, Christoph Köhle, et al.. (2010). Wnt/β-Catenin Signaling Activates and Determines Hepatic Zonal Expression of Glutathione S-Transferases in Mouse Liver. Toxicological Sciences. 115(1). 22–33. 52 indexed citations
8.
Metzger, Ute, C. Schall, Georg Zocher, et al.. (2009). The structure of dimethylallyl tryptophan synthase reveals a common architecture of aromatic prenyltransferases in fungi and bacteria. Proceedings of the National Academy of Sciences. 106(34). 14309–14314. 168 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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