Andreas Mayr

34 total papers · 3.6k total citations
17 papers, 1.9k citations indexed

About

Andreas Mayr is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Andreas Mayr has authored 17 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 4 papers in Genetics. Recurrent topics in Andreas Mayr's work include Computational Drug Discovery Methods (6 papers), Gene expression and cancer classification (6 papers) and Machine Learning in Materials Science (4 papers). Andreas Mayr is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Gene expression and cancer classification (6 papers) and Machine Learning in Materials Science (4 papers). Andreas Mayr collaborates with scholars based in Austria, Belgium and Sweden. Andreas Mayr's co-authors include Sepp Hochreiter, Günter Klambauer, Thomas Unterthiner, Djork-Arné Clevert, Andreas Mitterecker, Ulrich Bodenhofer, Hugo Ceulemans, Jörg K. Wegner, Karin Schwarzbauer and Marvin Steijaert and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

In The Last Decade

Andreas Mayr

16 papers receiving 1.8k citations

Hit Papers

DeepTox: Toxicity Predict... 2016 2026 2019 2022 2016 2018 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Andreas Mayr 1.0k 874 442 261 256 17 1.9k
Djork-Arné Clevert 1.5k 1.5× 1.1k 1.3× 752 1.7× 195 0.7× 297 1.2× 37 2.4k
Michaela Spitzer 1.4k 1.4× 945 1.1× 443 1.0× 215 0.8× 173 0.7× 17 2.7k
Polina Mamoshina 1.2k 1.2× 816 0.9× 381 0.9× 325 1.2× 76 0.3× 24 2.8k
Günter Klambauer 1.5k 1.5× 1.6k 1.8× 749 1.7× 304 1.2× 285 1.1× 45 3.0k
Jessica Vamathevan 1.1k 1.1× 829 0.9× 415 0.9× 211 0.8× 89 0.3× 18 2.2k
Alexander Aliper 1.4k 1.4× 788 0.9× 314 0.7× 205 0.8× 120 0.5× 57 3.0k
Parantu K. Shah 1.8k 1.8× 835 1.0× 420 1.0× 388 1.5× 129 0.5× 42 3.1k
Jianzhu Ma 2.2k 2.2× 479 0.5× 335 0.8× 305 1.2× 160 0.6× 69 3.0k
Weilin Zhang 962 1.0× 595 0.7× 158 0.4× 188 0.7× 55 0.2× 23 2.0k
Chongli Qin 1.5k 1.4× 397 0.5× 522 1.2× 345 1.3× 85 0.3× 7 2.3k

Countries citing papers authored by Andreas Mayr

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Mayr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Mayr

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

All Works

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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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