Philipp Renz

7 papers and 182 indexed citations i.

About

Philipp Renz is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Philipp Renz has authored 7 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 6 papers in Computational Theory and Mathematics and 4 papers in Molecular Biology. Recurrent topics in Philipp Renz’s work include Computational Drug Discovery Methods (6 papers), Machine Learning in Materials Science (6 papers) and Protein Structure and Dynamics (4 papers). Philipp Renz is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Machine Learning in Materials Science (6 papers) and Protein Structure and Dynamics (4 papers). Philipp Renz collaborates with scholars based in Austria, Belgium and United States. Philipp Renz's co-authors include Günter Klambauer, Sepp Hochreiter, Jörg K. Wegner, Dries Van Rompaey, Philipp Seidl, Marwin Segler, Jonas Verhoeven, Natalia Dyubankova, Jens Scholz and Andreu Vall and has published in prestigious journals such as Journal of Chemical Information and Modeling, European Journal of Anaesthesiology and Drug Discovery Today Technologies.

In The Last Decade

Co-authorship network of co-authors of Philipp Renz i

Fields of papers citing papers by Philipp Renz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Philipp Renz

Since Specialization
Citations

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

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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