Ulrich Schlecht

1.7k total citations
23 papers, 724 citations indexed

About

Ulrich Schlecht is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Ulrich Schlecht has authored 23 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Plant Science. Recurrent topics in Ulrich Schlecht's work include Fungal and yeast genetics research (11 papers), Bioinformatics and Genomic Networks (5 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Ulrich Schlecht is often cited by papers focused on Fungal and yeast genetics research (11 papers), Bioinformatics and Genomic Networks (5 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Ulrich Schlecht collaborates with scholars based in United States, Switzerland and Canada. Ulrich Schlecht's co-authors include Robert P. St.Onge, Ronald W. Davis, Sundari Suresh, Michael Primig, Justin Smith, Lars M. Steinmetz, Leopold Parts, Manhong Wu, Gary Peltz and Omar Wagih and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Ulrich Schlecht

23 papers receiving 719 citations

Peers

Ulrich Schlecht
James Flynn United States
Yunqi Wu Australia
Chun Wu China
J C Jauniaux Belgium
Huimin Zhang United States
Gary McKnight United States
James Flynn United States
Ulrich Schlecht
Citations per year, relative to Ulrich Schlecht Ulrich Schlecht (= 1×) peers James Flynn

Countries citing papers authored by Ulrich Schlecht

Since Specialization
Citations

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

Fields of papers citing papers by Ulrich Schlecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrich Schlecht

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich Schlecht. A scholar is included among the top collaborators of Ulrich Schlecht 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 Ulrich Schlecht. Ulrich Schlecht 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.
Adams, Hans-Peter, Matthew Hiemenz, Helle Sørensen, et al.. (2024). Comparison of Results from Two Commercially Available In-House Tissue-Based Comprehensive Genomic Profiling Solutions. Journal of Molecular Diagnostics. 26(11). 1018–1033. 1 indexed citations
2.
Li, Jian, Ulrich Schlecht, Robert P. St.Onge, et al.. (2018). A biosensor-based approach reveals links between efflux pump expression and cell cycle regulation in pleiotropic drug resistance of yeast. Journal of Biological Chemistry. 294(4). 1257–1266. 6 indexed citations
3.
Schlecht, Ulrich, Justin Smith, Sundari Suresh, et al.. (2017). Quantitative analysis of protein interaction network dynamics in yeast. Molecular Systems Biology. 13(7). 934–934. 30 indexed citations
4.
Schlecht, Ulrich, et al.. (2017). ConcatSeq: A method for increasing throughput of single molecule sequencing by concatenating short DNA fragments. Scientific Reports. 7(1). 5252–5252. 13 indexed citations
5.
Schlecht, Ulrich, Zhimin Liu, Jamie R. Blundell, Robert P. St.Onge, & Sasha F. Levy. (2017). A scalable double-barcode sequencing platform for characterization of dynamic protein-protein interactions. Nature Communications. 8(1). 15586–15586. 28 indexed citations
6.
Smith, Justin, Ulrich Schlecht, Weihong Xu, et al.. (2017). A method for high‐throughput production of sequence‐verified DNA libraries and strain collections. Molecular Systems Biology. 13(2). 913–913. 33 indexed citations
7.
Suresh, Sundari, Ulrich Schlecht, Weihong Xu, et al.. (2016). Systematic Mapping of Chemical–Genetic Interactions in Saccharomyces cerevisiae. Cold Spring Harbor Protocols. 2016(9). pdb.top077701–pdb.top077701. 5 indexed citations
8.
Suresh, Sundari, Ulrich Schlecht, Weihong Xu, et al.. (2016). Identification of Chemical–Genetic Interactions via Parallel Analysis of Barcoded Yeast Strains. Cold Spring Harbor Protocols. 2016(9). pdb.prot088054–pdb.prot088054. 4 indexed citations
9.
Smith, Justin, Sundari Suresh, Ulrich Schlecht, et al.. (2016). Quantitative CRISPR interference screens in yeast identify chemical-genetic interactions and new rules for guide RNA design. Genome biology. 17(1). 45–45. 155 indexed citations
10.
Arac, Ahmet, Michele A. Grimbaldeston, Marta P. Pereira, et al.. (2014). Evidence that Meningeal Mast Cells Can Worsen Stroke Pathology in Mice. American Journal Of Pathology. 184(9). 2493–2504. 54 indexed citations
11.
Schlecht, Ulrich, Sundari Suresh, Weihong Xu, et al.. (2014). A functional screen for copper homeostasis genes identifies a pharmacologically tractable cellular system. BMC Genomics. 15(1). 263–263. 22 indexed citations
12.
Schlecht, Ulrich, Robert P. St.Onge, Thomas Walther, Jean François, & Ronald W. Davis. (2012). Cationic Amphiphilic Drugs Are Potent Inhibitors of Yeast Sporulation. PLoS ONE. 7(8). e42853–e42853. 8 indexed citations
13.
St.Onge, Robert, Ulrich Schlecht, Curt Scharfe, & Marie Evangelista. (2012). Forward Chemical Genetics in Yeast for Discovery of Chemical Probes Targeting Metabolism. Molecules. 17(11). 13098–13115. 14 indexed citations
14.
Oh, Julia, Eula Fung, Ulrich Schlecht, et al.. (2010). Gene Annotation and Drug Target Discovery in Candida albicans with a Tagged Transposon Mutant Collection. PLoS Pathogens. 6(10). e1001140–e1001140. 73 indexed citations
15.
Varela, Elisa, Ulrich Schlecht, James D. Fackenthal, et al.. (2010). Mitotic Expression of Spo13 Alters M-Phase Progression and Nucleolar Localization of Cdc14 in Budding Yeast. Genetics. 185(3). 841–854. 5 indexed citations
16.
Schlecht, Ulrich, Ionas Erb, Philippe Demougin, et al.. (2008). Genome-wide Expression Profiling, In Vivo DNA Binding Analysis, and Probabilistic Motif Prediction Reveal Novel Abf1 Target Genes during Fermentation, Respiration, and Sporulation in Yeast. Molecular Biology of the Cell. 19(5). 2193–2207. 26 indexed citations
17.
Schlecht, Ulrich, Philippe Demougin, Leandro C. Hermida, et al.. (2004). Expression Profiling of Mammalian Male Meiosis and Gametogenesis Identifies Novel Candidate Genes for Roles in the Regulation of Fertility. Molecular Biology of the Cell. 15(3). 1031–1043. 105 indexed citations
18.
Menthière, Cyril Sarrauste de, Ulrich Schlecht, Leandro C. Hermida, et al.. (2004). Database model and specification of GermOnline Release 2.0, a cross-species community annotation knowledgebase on germ cell differentiation. Bioinformatics. 20(5). 808–811. 10 indexed citations
19.
Schlecht, Ulrich & Michael Primig. (2003). Mining meiosis and gametogenesis with DNA microarrays. Reproduction. 125(4). 447–456. 32 indexed citations
20.
Siegmund, Daniela, et al.. (2002). Endogenous Membrane Tumor Necrosis Factor (TNF) Is a Potent Amplifier of TNF Receptor 1-mediated Apoptosis. Journal of Biological Chemistry. 277(38). 34853–34859. 24 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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