Esben Jannik Bjerrum
- Computational Theory and Mathematics top 0.2%
- Materials Chemistry top 5%
- Molecular Biology top 10%
- Biomedical Engineering
- Pharmacology top 10%
- Co-authors
- Ola EngkvistHongming ChenJean‐Louis ReymondJosep Arús‐PousChristian TyrchanAmol ThakkarBoris SattarovSimon Johansson
- Topics
- Computational Drug Discovery Methods (30 papers)Machine Learning in Materials Science (24 papers)Chemical Synthesis and Analysis (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Medicinal ChemistryJournal of Hepatology
- Partner nations
- SwedenSwitzerlandChina
In The Last Decade
Esben Jannik Bjerrum
38 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 135
- Computational Theory and Mathematics 1.6k
- Materials Chemistry 1.3k
- Molecular Biology 1.2k
- Biomedical Engineering 214
- Pharmacology 140
Countries citing papers authored by Esben Jannik Bjerrum
This map shows the geographic impact of Esben Jannik Bjerrum'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 Esben Jannik Bjerrum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Esben Jannik Bjerrum more than expected).
Fields of papers citing papers by Esben Jannik Bjerrum
This network shows the impact of papers produced by Esben Jannik Bjerrum. 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 Esben Jannik Bjerrum. The network helps show where Esben Jannik Bjerrum may publish in the future.
Co-authorship network of co-authors of Esben Jannik Bjerrum
This figure shows the co-authorship network connecting the top 25 collaborators of Esben Jannik Bjerrum. A scholar is included among the top collaborators of Esben Jannik Bjerrum based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Esben Jannik Bjerrum. Esben Jannik Bjerrum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 41 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 156 | |
| 7 | 123 | |
| 8 | 63 | |
| 9 | 2 | |
| 10 | 102 | |
| 11 | 131 | |
| 12 | 206 | |
| 13 | 99 | |
| 14 | 257 | |
| 15 | 34 | |
| 16 | 225 | |
| 17 | 117 | |
| 18 | 12 | |
| 19 | 20 | |
| 20 | 23 |
About Esben Jannik Bjerrum
Esben Jannik Bjerrum is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Molecular Biology, having authored 39 papers that have together received 2.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (30 papers), Machine Learning in Materials Science (24 papers) and Chemical Synthesis and Analysis (10 papers). The work is most often cited by research in Computational Theory and Mathematics (1.6k citations), Materials Chemistry (1.3k citations) and Molecular Biology (1.2k citations). Esben Jannik Bjerrum has collaborated with scholars based in Sweden, Switzerland and China. Frequent co-authors include Ola Engkvist, Hongming Chen, Jean‐Louis Reymond, Josep Arús‐Pous, Christian Tyrchan, Amol Thakkar, Boris Sattarov, Simon Johansson, Oleksii Prykhodko and Panagiotis-Christos Kotsias. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Medicinal Chemistry and Journal of Hepatology.
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.