Roman Lutz

1.2k total citations
23 papers, 931 citations indexed

About

Roman Lutz is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Roman Lutz has authored 23 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Cell Biology. Recurrent topics in Roman Lutz's work include Carcinogens and Genotoxicity Assessment (5 papers), Cellular Mechanics and Interactions (4 papers) and Cell Adhesion Molecules Research (4 papers). Roman Lutz is often cited by papers focused on Carcinogens and Genotoxicity Assessment (5 papers), Cellular Mechanics and Interactions (4 papers) and Cell Adhesion Molecules Research (4 papers). Roman Lutz collaborates with scholars based in Switzerland, Germany and United States. Roman Lutz's co-authors include Werner K. Lutz, Matthias Chiquet, Silke Maier, Laurent Gelman, Ursula Lutz, Wolfgang Völkel, Jürg A. Zarn, Karoline Scholz, Lutz Walter and Peter Bühlmann and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Roman Lutz

22 papers receiving 901 citations

Peers

Roman Lutz

HTM

F.K. Habib United Kingdom

Chi Zhang China

Chao Hu China

Yilin Wang China

Barbara A. Olson United States

Leonardo Ermini Italy

Yuxuan Zheng China

Jing Tian China

Yue Chen China

Jia‐Ning Wang China

F.K. Habib United Kingdom

Roman Lutz

387 ×1.2

78 ×0.4

105 ×0.8

93 ×0.7

44 ×0.4

HTM

Citations per year, relative to Roman Lutz Roman Lutz (= 1×) peers F.K. Habib

Countries citing papers authored by Roman Lutz

Since Specialization

Citations

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

Fields of papers citing papers by Roman Lutz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Lutz

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

All Works

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20 of 20 papers shown

Lutz, Roman, et al.. (2015). CYP2C9 Genotype vs. Metabolic Phenotype for Individual Drug Dosing—A Correlation Analysis Using Flurbiprofen as Probe Drug. PLoS ONE. 10(3). e0120403–e0120403. 19 indexed citations

Lutz, Roman. (2014). Adaptive Large Neighborhood Search. OPen Access Repositorium der Universität Ulm (OPARU) (Ulm University). 8 indexed citations

Lutz, Roman, et al.. (2012). The Financial Crisis - An Ideal Teaching Moment. SHILAP Revista de lepidopterología. 1 indexed citations

Lutz, Roman, et al.. (2011). Nano-Stenciled RGD-Gold Patterns That Inhibit Focal Contact Maturation Induce Lamellipodia Formation in Fibroblasts. PLoS ONE. 6(9). e25459–e25459. 22 indexed citations

Schild, Christof, et al.. (2010). Identification of a fibronectin interaction site in the extracellular matrix protein ameloblastin. Experimental Cell Research. 316(7). 1202–1212. 36 indexed citations

Lutz, Roman. (2009). Geht die Arbeitslosenversicherung in Rente?. Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences). 1 indexed citations

Lutz, Werner K. & Roman Lutz. (2009). Statistical model to estimate a threshold dose and its confidence limits for the analysis of sublinear dose–response relationships, exemplified for mutagenicity data. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 678(2). 118–122. 72 indexed citations

Chiquet, Matthias, Laurent Gelman, Roman Lutz, & Silke Maier. (2009). From mechanotransduction to extracellular matrix gene expression in fibroblasts. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1793(5). 911–920. 304 indexed citations

Lutz, Ursula, et al.. (2008). Metabolite profiling in human urine by LC–MS/MS: Method optimization and application for glucuronides from dextromethorphan metabolism. Journal of Chromatography B. 871(2). 349–356. 21 indexed citations

10.

Maier, Silke, Roman Lutz, Laurent Gelman, et al.. (2008). Tenascin-C induction by cyclic strain requires integrin-linked kinase. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1783(6). 1150–1162. 48 indexed citations

11.

Lutz, Roman & Peter Bühlmann. (2006). Conjugate Direction Boosting. Journal of Computational and Graphical Statistics. 15(2). 287–311. 4 indexed citations

12.

Lutz, Ursula, Roman Lutz, & Werner K. Lutz. (2006). Metabolic Profiling of Glucuronides in Human Urine by LC−MS/MS and Partial Least-Squares Discriminant Analysis for Classification and Prediction of Gender. Analytical Chemistry. 78(13). 4564–4571. 108 indexed citations

13.

Lutz, Roman, et al.. (2006). BOOSTING FOR HIGH-MULTIVARIATE RESPONSES IN HIGH-DIMENSIONAL LINEAR REGRESSION. 28 indexed citations

14.

Lutz, Werner K., Roman Lutz, & Melvin E. Andersen. (2005). Dose-Incidence Relationships Derived from Superposition of Distributions of Individual Susceptibility on Mechanism-Based Dose Responses for Biological Effects. Toxicological Sciences. 90(1). 33–38. 9 indexed citations

15.

Walter, Lutz, David W. Gaylor, Rory B. Conolly, & Roman Lutz. (2005). Nonlinearity and thresholds in dose–response relationships for carcinogenicity due to sampling variation, logarithmic dose scaling, or small differences in individual susceptibility. Toxicology and Applied Pharmacology. 207(2). 565–569. 14 indexed citations

16.

Andersen, Melvin E., Roman Lutz, Ken Liao, & Werner K. Lutz. (2005). Dose-Incidence Modeling: Consequences of Linking Quantal Measures of Response to Depletion of Critical Tissue Targets. Toxicological Sciences. 89(1). 331–337. 5 indexed citations

17.

Lutz, Werner K., et al.. (2005). Different Types of Combination Effects for the Induction of Micronuclei in Mouse Lymphoma Cells by Binary Mixtures of the Genotoxic Agents MMS, MNU, and Genistein. Toxicological Sciences. 86(2). 318–323. 23 indexed citations

18.

Scholz, Karoline, et al.. (2004). Comparative Assessment of the Inhibition of Recombinant Human CYP19 (Aromatase) by Azoles Used in Agriculture and as Drugs for Humans. Endocrine Research. 30(3). 387–394. 107 indexed citations

19.

Lutz, Ursula, Wolfgang Völkel, Roman Lutz, & Lutz Walter. (2004). LC–MS/MS analysis of dextromethorphan metabolism in human saliva and urine to determine CYP2D6 phenotype and individual variability in N-demethylation and glucuronidation. Journal of Chromatography B. 813(1-2). 217–225. 32 indexed citations

20.

Lutz, Roman, Werner A. Stahel, & Werner K. Lutz. (2002). Statistical Procedures to Test for Linearity and Estimate Threshold Doses for Tumor Induction with Nonlinear Dose–Response Relationships in Bioassays for Carcinogenicity. Regulatory Toxicology and Pharmacology. 36(3). 331–337. 9 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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