Eva Stjernschantz
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Pharmacology top 2%
- Organic Chemistry
- Pharmacology
- Co-authors
- Chris OostenbrinkNico VermeulenMicael JacobssonJan N. M. CommandeurBarbara M. A. van Vugt‐LussenburgHenrik BoströmUlf NorinderJeroen Lastdrager
- Topics
- Computational Drug Discovery Methods (7 papers)Pharmacogenetics and Drug Metabolism (6 papers)Analytical Chemistry and Chromatography (2 papers)
- Journals
- International Journal of Molecular SciencesBiophysical JournalJournal of Medicinal Chemistry
- Partner nations
- NetherlandsAustriaIndia
In The Last Decade
Eva Stjernschantz
9 papers receiving 486 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 300
- Computational Theory and Mathematics 282
- Pharmacology 224
- Organic Chemistry 61
- Pharmacology 56
Countries citing papers authored by Eva Stjernschantz
This map shows the geographic impact of Eva Stjernschantz'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 Eva Stjernschantz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Stjernschantz more than expected).
Fields of papers citing papers by Eva Stjernschantz
This network shows the impact of papers produced by Eva Stjernschantz. 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 Eva Stjernschantz. The network helps show where Eva Stjernschantz may publish in the future.
Co-authorship network of co-authors of Eva Stjernschantz
This figure shows the co-authorship network connecting the top 25 collaborators of Eva Stjernschantz. A scholar is included among the top collaborators of Eva Stjernschantz 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 Eva Stjernschantz. Eva Stjernschantz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 99 | |
| 3 | 14 | |
| 4 | 63 | |
| 5 | LIGAND-PROTEIN DOCKING AND MOLECULAR DYNAMICS SIMULATIONS AND APPLICATIONS IN CYTOCHROMES P450 | 1 |
| 6 | 39 | |
| 7 | 100 | |
| 8 | 47 | |
| 9 | 103 |
About Eva Stjernschantz
Eva Stjernschantz is a scholar working on Pharmacology, Computational Theory and Mathematics and Spectroscopy, having authored 9 papers that have together received 494 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Pharmacogenetics and Drug Metabolism (6 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Pharmacology (224 citations), Computational Theory and Mathematics (282 citations) and Molecular Biology (300 citations). Eva Stjernschantz has collaborated with scholars based in Netherlands, Austria and India. Frequent co-authors include Chris Oostenbrink, Nico Vermeulen, Micael Jacobsson, Jan N. M. Commandeur, Barbara M. A. van Vugt‐Lussenburg, Henrik Boström, Ulf Norinder, Jeroen Lastdrager, John Marelius and Daan P. Geerke. Their work appears in journals such as International Journal of Molecular Sciences, Biophysical Journal 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.