Ola Engkvist

154 papers and 7.3k indexed citations i.

About

Ola Engkvist is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Ola Engkvist has authored 154 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Computational Theory and Mathematics, 82 papers in Molecular Biology and 68 papers in Materials Chemistry. Recurrent topics in Ola Engkvist’s work include Computational Drug Discovery Methods (113 papers), Machine Learning in Materials Science (66 papers) and Protein Structure and Dynamics (23 papers). Ola Engkvist is often cited by papers focused on Computational Drug Discovery Methods (113 papers), Machine Learning in Materials Science (66 papers) and Protein Structure and Dynamics (23 papers). Ola Engkvist collaborates with scholars based in Sweden, United Kingdom and Switzerland. Ola Engkvist's co-authors include Hongming Chen, Thomas Blaschke, Esben Jannik Bjerrum, Yinhai Wang, Amol Thakkar, Jean‐Louis Reymond, Josep Arús‐Pous, Christian Tyrchan, Gunnar Karlström and Rocío Mercado and has published in prestigious journals such as Chemical Reviews, Angewandte Chemie International Edition and The Journal of Chemical Physics.

In The Last Decade

Co-authorship network of co-authors of Ola Engkvist i

Fields of papers citing papers by Ola Engkvist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ola Engkvist

Since Specialization
Citations

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