Martin Gütlein

1.0k total citations
10 papers, 644 citations indexed

About

Martin Gütlein is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Martin Gütlein has authored 10 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 5 papers in Molecular Biology and 3 papers in Materials Chemistry. Recurrent topics in Martin Gütlein's work include Computational Drug Discovery Methods (8 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Machine Learning in Materials Science (3 papers). Martin Gütlein is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Machine Learning in Materials Science (3 papers). Martin Gütlein collaborates with scholars based in Germany, Switzerland and Czechia. Martin Gütlein's co-authors include Andreas Karwath, Stefan Krämer, Eibe Frank, Mark Hall, Christoph Helma, Kathrin Fenner, Jörg Wicker, Emanuel Schmid, Diogo A. R. S. Latino and Andreas Maunz and has published in prestigious journals such as Nucleic Acids Research, Frontiers in Pharmacology and Journal of Cheminformatics.

In The Last Decade

Martin Gütlein

10 papers receiving 627 citations

Peers

Martin Gütlein

CTM

MB

AI

POLLU

HTM

Marco Pintore France

Jeroen Kazius Netherlands

Ke Yu United States

Rosa L. Lopez de Compadre United States

Joerg Wichard Germany

Faizan Sahigara Italy

Shikha Gupta India

Niklas Larsson Sweden

Marco Pintore France

Martin Gütlein

189 ×0.9

CTM

99 ×0.5

MB

83 ×0.7

AI

50 ×0.5

POLLU

100 ×1.3

HTM

Citations per year, relative to Martin Gütlein Martin Gütlein (= 1×) peers Marco Pintore

Countries citing papers authored by Martin Gütlein

Since Specialization

Citations

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

Fields of papers citing papers by Martin Gütlein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Gütlein

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Helma, Christoph, et al.. (2018). Modeling Chronic Toxicity: A Comparison of Experimental Variability With (Q)SAR/Read-Across Predictions. Frontiers in Pharmacology. 9. 413–413. 11 indexed citations

2.

Latino, Diogo A. R. S., Jörg Wicker, Martin Gütlein, et al.. (2017). Eawag-Soil in enviPath: a new resource for exploring regulatory pesticide soil biodegradation pathways and half-life data. Environmental Science Processes & Impacts. 19(3). 449–464. 41 indexed citations

3.

Batke, Monika, Martin Gütlein, Falko Partosch, et al.. (2016). Innovative Strategies to Develop Chemical Categories Using a Combination of Structural and Toxicological Properties. Frontiers in Pharmacology. 7. 321–321. 5 indexed citations

4.

Gütlein, Martin & Stefan Krämer. (2016). Filtered circular fingerprints improve either prediction or runtime performance while retaining interpretability. Journal of Cheminformatics. 8(1). 60–60. 24 indexed citations

5.

Wicker, Jörg, Martin Gütlein, Emanuel Schmid, et al.. (2015). enviPath – The environmental contaminant biotransformation pathway resource. Nucleic Acids Research. 44(D1). D502–D508. 139 indexed citations

6.

Gütlein, Martin, Andreas Karwath, & Stefan Krämer. (2014). CheS-Mapper 2.0 for visual validation of (Q)SAR models. Journal of Cheminformatics. 6(1). 16 indexed citations

7.

Gütlein, Martin, Christoph Helma, Andreas Karwath, & Stefan Krämer. (2013). A Large‐Scale Empirical Evaluation of Cross‐Validation and External Test Set Validation in (Q)SAR. Molecular Informatics. 32(5-6). 516–528. 48 indexed citations

8.

Maunz, Andreas, et al.. (2013). lazar: a modular predictive toxicology framework. Frontiers in Pharmacology. 4. 38–38. 132 indexed citations

9.

Gütlein, Martin, Andreas Karwath, & Stefan Krämer. (2012). CheS-Mapper - Chemical Space Mapping and Visualization in 3D. Journal of Cheminformatics. 4(1). 7–7. 40 indexed citations

10.

Gütlein, Martin, Eibe Frank, Mark Hall, & Andreas Karwath. (2009). Large-scale attribute selection using wrappers. Research Commons (University of Waikato). 332–339. 188 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.

Explore authors with similar magnitude of impact