Matthias Ley

699 total citations · 1 hit paper
12 papers, 462 citations indexed

About

Matthias Ley is a scholar working on Molecular Biology, Nephrology and Computational Theory and Mathematics. According to data from OpenAlex, Matthias Ley has authored 12 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Nephrology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Matthias Ley's work include Computational Drug Discovery Methods (3 papers), Bioinformatics and Genomic Networks (3 papers) and Chronic Kidney Disease and Diabetes (3 papers). Matthias Ley is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Bioinformatics and Genomic Networks (3 papers) and Chronic Kidney Disease and Diabetes (3 papers). Matthias Ley collaborates with scholars based in Austria, United States and Germany. Matthias Ley's co-authors include Sten Hanke, Karl Bauer, Mozhgan Bizhang, Thomas Wagner, Thomas Weber, Stephanie Christ, Karin Rohbock, Harald Winter, Martina Knirsch and Ulrike Zimmermann and has published in prestigious journals such as Journal of Cell Science, Drug Discovery Today and PROTEOMICS.

In The Last Decade

Matthias Ley

12 papers receiving 451 citations

Hit Papers

Emotion Recognition from Physiological Signal Analysis: A... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthias Ley Austria 6 243 191 70 66 53 12 462
Antonio R. Hidalgo-Muñoz France 12 139 0.6× 191 1.0× 88 1.3× 116 1.8× 25 0.5× 47 488
Ashkan Yazdani Switzerland 11 118 0.5× 200 1.0× 33 0.5× 47 0.7× 78 1.5× 16 360
Pierre‐Emmanuel Aguera France 8 305 1.3× 867 4.5× 48 0.7× 60 0.9× 38 0.7× 15 978
Zhen Liang China 15 285 1.2× 423 2.2× 59 0.8× 32 0.5× 67 1.3× 64 690
B. A. J. Reddi United Kingdom 7 77 0.3× 541 2.8× 28 0.4× 40 0.6× 25 0.5× 9 659
Minh Khoa Nguyen Singapore 8 213 0.9× 382 2.0× 42 0.6× 46 0.7× 37 0.7× 17 509
Shkurta Gashi Switzerland 10 119 0.5× 155 0.8× 43 0.6× 67 1.0× 67 1.3× 20 377
Ziyi Li China 4 419 1.7× 354 1.9× 111 1.6× 122 1.8× 73 1.4× 7 643
Lauri Oksama Finland 9 98 0.4× 378 2.0× 28 0.4× 180 2.7× 57 1.1× 22 570
Caterina Cinel United Kingdom 18 111 0.5× 756 4.0× 13 0.2× 58 0.9× 32 0.6× 50 938

Countries citing papers authored by Matthias Ley

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Ley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Ley

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

All Works

12 of 12 papers shown
1.
Fillinger, Lucas, et al.. (2025). Computational modeling approaches and regulatory pathways for drug combinations. Drug Discovery Today. 30(5). 104345–104345. 3 indexed citations
2.
Perco, Paul, et al.. (2025). Computational Drug Repositioning in Cardiorenal Disease: Opportunities, Challenges, and Approaches. PROTEOMICS. 25(11-12). e202400109–e202400109. 1 indexed citations
3.
Lopes, Marta B., Flore Duranton, Griet Glorieux, et al.. (2025). The Omics‐Driven Machine Learning Path to Cost‐Effective Precision Medicine in Chronic Kidney Disease. PROTEOMICS. 25(11-12). e202400108–e202400108. 12 indexed citations
5.
Ley, Matthias, Lucas Fillinger, Paul Perco, et al.. (2024). Investigation of the Urinary Peptidome to Unravel Collagen Degradation in Health and Kidney Disease. PROTEOMICS. 25(11-12). e202400279–e202400279. 3 indexed citations
6.
Gebeshuber, Christoph A., Heinz Regele, Helga Schachner, et al.. (2023). Computational drug repositioning of clopidogrel as a novel therapeutic option for focal segmental glomerulosclerosis. Translational research. 259. 28–34. 6 indexed citations
7.
Ley, Matthias, Andreas Heinzel, Lucas Fillinger, Klaus Kratochwill, & Paul Perco. (2023). OntoloViz: a GUI for interactive visualization of ranked disease or drug lists using the MeSH and ATC ontologies. Bioinformatics Advances. 3(1). vbad113–vbad113. 1 indexed citations
9.
Ley, Matthias, et al.. (2019). Emotion Recognition from Physiological Signal Analysis: A Review. Electronic Notes in Theoretical Computer Science. 343. 35–55. 342 indexed citations breakdown →
10.
Ley, Matthias, et al.. (2019). Evaluating Methods for Emotion Recognition based on Facial and Vocal Features.. 84–93. 4 indexed citations
11.
Ley, Matthias, Thomas Wagner, & Mozhgan Bizhang. (2006). The effect of different fluoridation methods on the red wine staining potential on intensively bleached enamel in vitro.. PubMed. 19(2). 80–4. 12 indexed citations
12.
Winter, Harald, Claudia Braig, Ulrike Zimmermann, et al.. (2006). Thyroid hormone receptors TRα1 and TRβ differentially regulate gene expression ofKcnq4and prestin during final differentiation of outer hair cells. Journal of Cell Science. 119(14). 2975–2984. 65 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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