Ola Engkvist
- Computational Theory and Mathematics top 0.02%
- Computational Drug Discovery Methods 121
- Materials Chemistry top 1%
- Machine Learning in Materials Science 69
- Molecular Biology top 1%
- Protein Structure and Dynamics 24
- Chemical Synthesis and Analysis 16
- Health Informatics top 2%
- Biophysics top 1%
-
- Analytical Chemistry and Chromatography 12
-
- Advanced Chemical Physics Studies 12
- Spectroscopy and Quantum Chemical Studies 11
-
- Innovative Microfluidic and Catalytic Techniques Innovation 11
- Co-authors
- Hongming ChenThomas BlaschkeMarcus OlivecronaEsben Jannik BjerrumYinhai WangAmol ThakkarJean‐Louis ReymondJosep Arús‐Pous
- Journals
- Chemical Reviews (1 paper)Angewandte Chemie International Edition (1 paper)Nature Communications (1 paper)
- Partner nations
- SwedenUnited KingdomGermany
In The Last Decade
Ola Engkvist
162 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Computational Theory and Mathematics 5.3k
- Materials Chemistry 3.5k
- Molecular Biology 4.2k
- Health Informatics 72
- Biophysics 292
Countries citing papers authored by Ola Engkvist
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).
Fields of papers citing papers by Ola Engkvist
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.
Co-authorship network
The 25 scholars most cited alongside Ola Engkvist, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 6 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 22 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 0 | |
| 8 | 2022 | 41 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 34 | |
| 12 | 2021 | 123 | |
| 13 | 2020 | 2 | |
| 14 | 2020 | 152 | |
| 15 | 2020 | 102 | |
| 16 | 2020 | 49 | |
| 17 | 2020 | 73 | |
| 18 | 2018 | 12 | |
| 19 | 2017 | 256 | |
| 20 | 2015 | 4 |
About Ola Engkvist
Ola Engkvist is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Molecular Biology, having authored 166 papers that have together received 8.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (121 papers), Machine Learning in Materials Science (69 papers), Protein Structure and Dynamics (24 papers), Chemical Synthesis and Analysis (16 papers), Analytical Chemistry and Chromatography (12 papers), Advanced Chemical Physics Studies (12 papers), Innovative Microfluidic and Catalytic Techniques Innovation (11 papers) and Spectroscopy and Quantum Chemical Studies (11 papers). The work is most often cited by research in Computational Theory and Mathematics (5.3k citations), Materials Chemistry (3.5k citations) and Molecular Biology (4.2k citations). Ola Engkvist has collaborated with scholars based in Sweden, United Kingdom and Germany. Frequent co-authors include Hongming Chen, Thomas Blaschke, Marcus Olivecrona, Esben Jannik Bjerrum, Yinhai Wang, Amol Thakkar, Jean‐Louis Reymond, Josep Arús‐Pous, Christian Tyrchan and Rocío Mercado. Their work appears in journals such as Chemical Reviews, Angewandte Chemie International Edition and Nature Communications.
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.