Daniel Kühn

26 papers and 1.7k indexed citations i.

About

Daniel Kühn is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Daniel Kühn has authored 26 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 13 papers in Computational Theory and Mathematics and 7 papers in Materials Chemistry. Recurrent topics in Daniel Kühn’s work include Computational Drug Discovery Methods (13 papers), Protein Structure and Dynamics (13 papers) and Enzyme Structure and Function (4 papers). Daniel Kühn is often cited by papers focused on Computational Drug Discovery Methods (13 papers), Protein Structure and Dynamics (13 papers) and Enzyme Structure and Function (4 papers). Daniel Kühn collaborates with scholars based in Germany, Italy and Sweden. Daniel Kühn's co-authors include G. Klebe, Friedrich Rippmann, Andrea Volkamer, Matthias Rarey, Stefan Schmitt, Thomas Grombacher, A. Heine, Claudiu T. Supuran, Alexander Weber and Andrea Scozzafava and has published in prestigious journals such as Bioinformatics, Journal of Molecular Biology and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Daniel Kühn i

Fields of papers citing papers by Daniel Kühn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Kühn

Since Specialization
Citations

This map shows the geographic impact of Daniel Kühn'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 Daniel Kühn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kühn 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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2025