Eva Stjernschantz

582 total citations
9 papers, 494 citations indexed

About

Eva Stjernschantz is a scholar working on Computational Theory and Mathematics, Pharmacology and Molecular Biology. According to data from OpenAlex, Eva Stjernschantz has authored 9 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Theory and Mathematics, 6 papers in Pharmacology and 5 papers in Molecular Biology. Recurrent topics in Eva Stjernschantz's work include Computational Drug Discovery Methods (7 papers), Pharmacogenetics and Drug Metabolism (6 papers) and Analytical Chemistry and Chromatography (2 papers). Eva Stjernschantz is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Pharmacogenetics and Drug Metabolism (6 papers) and Analytical Chemistry and Chromatography (2 papers). Eva Stjernschantz collaborates with scholars based in Netherlands, Austria and India. Eva Stjernschantz's co-authors include Chris Oostenbrink, Nico Vermeulen, Micael Jacobsson, Barbara M. A. van Vugt‐Lussenburg, Jan N. M. Commandeur, Ulf Norinder, Henrik Boström, Jeroen Lastdrager, John Marelius and Daan P. Geerke and has published in prestigious journals such as Biophysical Journal, International Journal of Molecular Sciences and Journal of Medicinal Chemistry.

In The Last Decade

Eva Stjernschantz

9 papers receiving 486 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Eva Stjernschantz Netherlands	8	300	282	224	61	56	9	494
Martin G. Smyth United Kingdom	7	265 0.9×	154 0.5×	286 1.3×	125 2.0×	56 1.0×	7	616
Ákos Tarcsay Hungary	11	282 0.9×	244 0.9×	103 0.5×	123 2.0×	36 0.6×	16	521
Christine Yang United States	4	138 0.5×	172 0.6×	303 1.4×	64 1.0×	36 0.6×	5	418
Hitomi Yuki Japan	15	299 1.0×	252 0.9×	103 0.5×	102 1.7×	35 0.6×	29	565
Kamaldeep K. Chohan United Kingdom	11	232 0.8×	180 0.6×	117 0.5×	48 0.8×	15 0.3×	17	412
Rajasekhar Neeli United Kingdom	9	344 1.1×	80 0.3×	341 1.5×	39 0.6×	54 1.0×	11	547
Luigi Capoferri Netherlands	11	193 0.6×	101 0.4×	74 0.3×	71 1.2×	63 1.1×	14	332
Ling Sun United States	7	140 0.5×	137 0.5×	296 1.3×	13 0.2×	19 0.3×	8	369
Peter F. Thadeio United States	12	578 1.9×	281 1.0×	84 0.4×	222 3.6×	85 1.5×	15	894
Sophia Kazanis United States	9	260 0.9×	57 0.2×	135 0.6×	97 1.6×	17 0.3×	11	504

Countries citing papers authored by Eva Stjernschantz

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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9 of 9 papers shown

Stjernschantz, Eva, et al.. (2013). CYP 2D6 Binding Affinity Predictions Using Multiple Ligand and Protein Conformations. International Journal of Molecular Sciences. 14(12). 24514–24530. 28 indexed citations

Stjernschantz, Eva & Chris Oostenbrink. (2010). Improved Ligand-Protein Binding Affinity Predictions Using Multiple Binding Modes. Biophysical Journal. 98(11). 2682–2691. 99 indexed citations

Stjernschantz, Eva, et al.. (2009). Comparison of murine and human estrogen sulfotransferase inhibition in vitro and in silico—Implications for differences in activity, subunit dimerization and substrate inhibition. Molecular and Cellular Endocrinology. 317(1-2). 127–140. 14 indexed citations

Stjernschantz, Eva, Nico Vermeulen, & Chris Oostenbrink. (2008). Computational prediction of drug binding and rationalisation of selectivity towards cytochromes P450. Expert Opinion on Drug Metabolism & Toxicology. 4(5). 513–527. 63 indexed citations

Vermeulen, Nico, Chris de Graaf, Eva Stjernschantz, K. Anton Feenstra, & Chris Oostenbrink. (2007). LIGAND-PROTEIN DOCKING AND MOLECULAR DYNAMICS SIMULATIONS AND APPLICATIONS IN CYTOCHROMES P450. VU Research Portal. 39. 13–13. 1 indexed citations

Stjernschantz, Eva, Barbara M. A. van Vugt‐Lussenburg, Alois Bonifacio, et al.. (2007). Structural rationalization of novel drug metabolizing mutants of cytochrome P450 BM3. Proteins Structure Function and Bioinformatics. 71(1). 336–352. 39 indexed citations

Vugt‐Lussenburg, Barbara M. A. van, Eva Stjernschantz, Jeroen Lastdrager, et al.. (2007). Identification of Critical Residues in Novel Drug Metabolizing Mutants of Cytochrome P450 BM3 Using Random Mutagenesis. Journal of Medicinal Chemistry. 50(3). 455–461. 100 indexed citations

Stjernschantz, Eva, et al.. (2006). Are Automated Molecular Dynamics Simulations and Binding Free Energy Calculations Realistic Tools in Lead Optimization? An Evaluation of the Linear Interaction Energy (LIE) Method. Journal of Chemical Information and Modeling. 46(5). 1972–1983. 47 indexed citations

Jacobsson, Micael, et al.. (2003). Improving Structure-Based Virtual Screening by Multivariate Analysis of Scoring Data. Journal of Medicinal Chemistry. 46(26). 5781–5789. 103 indexed citations

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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