Emma Evertsson
- Organic Chemistry top 10%
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Electronic, Optical and Magnetic Materials
- Materials Chemistry
- Co-authors
- Christian TyrchanAnders BrooThomas AnderssonPer H. SvenssonMatti LepistöHenrik GradénNils PembertonPetra Johannesson
- Topics
- Computational Drug Discovery Methods (7 papers)Chemical Reaction Mechanisms (3 papers)Machine Learning in Materials Science (2 papers)
- Cited by
- Computational Theory and MathematicsOrganic ChemistryElectronic, Optical and Magnetic Materials
- Journals
- SHILAP Revista de lepidopterologíaNature Reviews Drug DiscoveryJournal of Medicinal Chemistry
- Partner nations
- SwedenUnited KingdomFinland
In The Last Decade
Emma Evertsson
15 papers receiving 360 citations
Peers
Comparison fields: 5 of 69
- Organic Chemistry 178
- Molecular Biology 130
- Computational Theory and Mathematics 110
- Electronic, Optical and Magnetic Materials 61
- Materials Chemistry 44
Countries citing papers authored by Emma Evertsson
This map shows the geographic impact of Emma Evertsson'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 Emma Evertsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma Evertsson more than expected).
Fields of papers citing papers by Emma Evertsson
This network shows the impact of papers produced by Emma Evertsson. 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 Emma Evertsson. The network helps show where Emma Evertsson may publish in the future.
Co-authorship network of co-authors of Emma Evertsson
This figure shows the co-authorship network connecting the top 25 collaborators of Emma Evertsson. A scholar is included among the top collaborators of Emma Evertsson 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 Emma Evertsson. Emma Evertsson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 11 | |
| 3 | 0 | |
| 4 | 20 | |
| 5 | 22 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 72 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 107 | |
| 13 | 7 | |
| 14 | 29 | |
| 15 | 49 | |
| 16 | 23 |
About Emma Evertsson
Emma Evertsson is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry and Organic Chemistry, having authored 16 papers that have together received 363 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Chemical Reaction Mechanisms (3 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Computational Theory and Mathematics (110 citations), Organic Chemistry (178 citations) and Electronic, Optical and Magnetic Materials (61 citations). Emma Evertsson has collaborated with scholars based in Sweden, United Kingdom and Finland. Frequent co-authors include Christian Tyrchan, Anders Broo, Thomas Andersson, Per H. Svensson, Matti Lepistö, Henrik Gradén, Nils Pemberton, Petra Johannesson, Lars-Olof Larsson and Anna Linusson. Their work appears in journals such as SHILAP Revista de lepidopterología, Nature Reviews Drug Discovery and Journal of Medicinal Chemistry.
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.