Lara Kuhnke

6 papers and 247 indexed citations i.

About

Lara Kuhnke is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Lara Kuhnke has authored 6 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Theory and Mathematics, 3 papers in Molecular Biology and 3 papers in Materials Chemistry. Recurrent topics in Lara Kuhnke’s work include Computational Drug Discovery Methods (5 papers), Machine Learning in Materials Science (3 papers) and Chemistry and Chemical Engineering (2 papers). Lara Kuhnke is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Machine Learning in Materials Science (3 papers) and Chemistry and Chemical Engineering (2 papers). Lara Kuhnke collaborates with scholars based in Germany. Lara Kuhnke's co-authors include Antonius ter Laak, Floriane Montanari, Andreas H. Göller, Djork-Arné Clevert, Alexander Hillisch, Joerg Wichard, Sebastian Schneckener, Mario Lobell, Claudia De Fusco and Andreas Reichel and has published in prestigious journals such as Journal of Medicinal Chemistry, Molecules and Drug Discovery Today.

In The Last Decade

Co-authorship network of co-authors of Lara Kuhnke i

Fields of papers citing papers by Lara Kuhnke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lara Kuhnke

Since Specialization
Citations

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