Conrad Stork

20 papers and 466 indexed citations i.

About

Conrad Stork is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Conrad Stork has authored 20 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Theory and Mathematics, 11 papers in Molecular Biology and 6 papers in Materials Chemistry. Recurrent topics in Conrad Stork’s work include Computational Drug Discovery Methods (17 papers), Machine Learning in Materials Science (5 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Conrad Stork is often cited by papers focused on Computational Drug Discovery Methods (17 papers), Machine Learning in Materials Science (5 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Conrad Stork collaborates with scholars based in Germany, Norway and Czechia. Conrad Stork's co-authors include Johannes Kirchmair, Martin Šícho, Christina de Bruyn Kops, Ya Chen, Daniel Svozil, Nikolay Kochev, Giulio Vistoli, Angelica Mazzolari, Nina Jeliazkova and Bernard Testa and has published in prestigious journals such as Bioinformatics, The Science of The Total Environment and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Conrad Stork i

Fields of papers citing papers by Conrad Stork

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Conrad Stork

Since Specialization
Citations

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