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		题名	作者	年代	出处	被引量
	1	Microfluidic Labon-a-Chip Systems Based on Polymers-Fabrication and Application显示文摘	Guber Andreas E Heckele Mathias Herrmann Dirk Muslija Alban Saile Volker Eichhorn Lutz	2004	Chemical Engineering Journal2004，101，13：	1
	2	Kinetics of rare earth incorporation and its role in densification and formation of c - SiAlON 显示文摘	Mathias Herrmann S6ren H6hn Axel Bales	2012	Journal of the European Ceramic Society2012，32，：	1
	3	Impact of fibronectin on surface properties of intraocular lenses显示文摘	Andreas C. Schroeder Christian Lingenfelder Berthold Seitz Udo Grabowy Christoph W. Spraul Zisis Gatzioufas Mathias Herrmann	2009	Graefe’s Archive for Clinical and Experimental Ophthalmology2009，，9：	1
	4	Diamond-ceramics com- posites-New materials for a wide range of challenging applica- tions显示文摘	Mathias Herrmann BjOrn Matthey SOren H6hn Isabel Kins- ki David Rafaja Alexander Michaelis	2012	Journal of the European Ceramic Society2012，32，：	1
	5	Integrating Culture-based Antibiotic Resistance Profiles with Whole-genome Sequencing Data for 11,087 Clinical Isolates显示文摘Emerging antibiotic resistance is a major global health threat. The analysis of nucleic acid sequences linked to susceptibility phenotypes facilitates the study of genetic antibiotic resistance determinants to inform molecular diagnostics and drug development. We collected genetic data (11,087 newly-sequenced whole genomes) and culture-based resistance profiles (10,991 out of the 11,087 isolates comprehensively tested against 22 antibiotics in total) of clinical isolates including 18 main species spanning a time period of 30 years. Species and drug specific resistance patterns were observed including increased resistance rates for Acinetobacter baumannii to carbapenems and for Escherichia coli to fluoroquinolones. Species-level pan-genomes were constructed to reflect the genetic repertoire of the respective species,including conserved essential genes and known resis-tance factors. Integrating phenotypes and genotypes through species-level pan-genomes allowed to infer gene–drug resistance associations using statistical testing. The isolate collection and the analysis results have been integrated into GEAR-base,a resource available for academic research use free of charge at http://gffzzef6b793c29af4b37spob6p9fnkpo06k9v.ffgz.tsg.suse.edu.cn.	Valentina Galata Cédric C. Laczny Christina Backes Georg Hemmrich-Stanisak Susanne Schmolke Andre Franke Eckart Meese Mathias Herrmann Lutz von Müller Achim Plum Rolf Mü ller Cord Stahler Andreas E. Posch Andreas Keller	2019	Genomics, Proteomics & Bioinformatics2019，17，2：	0

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