Anna-Karin Sohlenius-Sternbeck

800 total citations
22 papers, 594 citations indexed

About

Anna-Karin Sohlenius-Sternbeck is a scholar working on Pharmacology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Anna-Karin Sohlenius-Sternbeck has authored 22 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pharmacology, 9 papers in Oncology and 6 papers in Computational Theory and Mathematics. Recurrent topics in Anna-Karin Sohlenius-Sternbeck's work include Pharmacogenetics and Drug Metabolism (19 papers), Drug Transport and Resistance Mechanisms (9 papers) and Drug-Induced Hepatotoxicity and Protection (7 papers). Anna-Karin Sohlenius-Sternbeck is often cited by papers focused on Pharmacogenetics and Drug Metabolism (19 papers), Drug Transport and Resistance Mechanisms (9 papers) and Drug-Induced Hepatotoxicity and Protection (7 papers). Anna-Karin Sohlenius-Sternbeck collaborates with scholars based in Sweden, United Kingdom and Argentina. Anna-Karin Sohlenius-Sternbeck's co-authors include Ylva Terelius, Lovisa Afzelius, Jenny Johansson, Johan Bylund, Janet Hoogstraate, Stefan Schmidt, Carl Petersson, Peteris Prūsis, Denis Projean and Brian Middleton and has published in prestigious journals such as Cancer Research, Biochemical Pharmacology and Nutrients.

In The Last Decade

Anna-Karin Sohlenius-Sternbeck

21 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna-Karin Sohlenius-Sternbeck Sweden 12 282 212 171 99 70 22 594
Rowan Stringer Switzerland 17 267 0.9× 216 1.0× 232 1.4× 99 1.0× 19 0.3× 23 874
Jackie C. Bloomer United Kingdom 13 268 1.0× 180 0.8× 261 1.5× 54 0.5× 31 0.4× 20 751
Paul M. Silber United States 12 359 1.3× 203 1.0× 177 1.0× 80 0.8× 130 1.9× 20 679
Yoichi Naritomi Japan 13 314 1.1× 225 1.1× 118 0.7× 69 0.7× 29 0.4× 17 496
Hugues Dolgos Germany 16 392 1.4× 227 1.1× 208 1.2× 186 1.9× 39 0.6× 26 792
Stephen Fowler Switzerland 22 560 2.0× 314 1.5× 321 1.9× 149 1.5× 55 0.8× 47 1.1k
Jason Halladay United States 16 344 1.2× 255 1.2× 328 1.9× 112 1.1× 28 0.4× 42 769
Daniel R. Mudra United States 11 270 1.0× 200 0.9× 217 1.3× 37 0.4× 36 0.5× 18 647
Tomáš Smutný Czechia 17 219 0.8× 162 0.8× 224 1.3× 35 0.4× 47 0.7× 33 710
Aaron M. Moss United States 7 117 0.4× 193 0.9× 114 0.7× 47 0.5× 44 0.6× 10 453

Countries citing papers authored by Anna-Karin Sohlenius-Sternbeck

Since Specialization
Citations

This map shows the geographic impact of Anna-Karin Sohlenius-Sternbeck'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 Anna-Karin Sohlenius-Sternbeck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna-Karin Sohlenius-Sternbeck more than expected).

Fields of papers citing papers by Anna-Karin Sohlenius-Sternbeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna-Karin Sohlenius-Sternbeck. 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 Anna-Karin Sohlenius-Sternbeck. The network helps show where Anna-Karin Sohlenius-Sternbeck may publish in the future.

Co-authorship network of co-authors of Anna-Karin Sohlenius-Sternbeck

This figure shows the co-authorship network connecting the top 25 collaborators of Anna-Karin Sohlenius-Sternbeck. A scholar is included among the top collaborators of Anna-Karin Sohlenius-Sternbeck 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 Anna-Karin Sohlenius-Sternbeck. Anna-Karin Sohlenius-Sternbeck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sohlenius-Sternbeck, Anna-Karin & Ylva Terelius. (2021). Evaluation of ADMET Predictor in Early Discovery Drug Metabolism and Pharmacokinetics Project Work. Drug Metabolism and Disposition. 50(2). 95–104. 36 indexed citations
2.
Sohlenius-Sternbeck, Anna-Karin, et al.. (2018). Confident Application of a Global Human Liver Microsomal Activity QSAR. Future Medicinal Chemistry. 10(13). 1575–1588. 5 indexed citations
3.
Öberg, Fredrik, Sofia Karlström, Ian Henderson, et al.. (2016). Abstract 3011: Development of selective small-molecule inhibitors of cellular MALT1 protease activity. Cancer Research. 76(14_Supplement). 3011–3011. 2 indexed citations
4.
Sohlenius-Sternbeck, Anna-Karin, Juliette Janson, Johan Bylund, et al.. (2016). Optimizing DMPK Properties: Experiences from a Big Pharma DMPK Department. Current Drug Metabolism. 17(3). 253–270. 5 indexed citations
5.
Lundquist, Patrik, Anna-Karin Sohlenius-Sternbeck, Jenny Johansson, et al.. (2014). The Impact of Solute Carrier (SLC) Drug Uptake Transporter Loss in Human and Rat Cryopreserved Hepatocytes on Clearance Predictions. Drug Metabolism and Disposition. 42(3). 469–480. 36 indexed citations
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Bueters, Tjerk, et al.. (2013). Rat poorly predicts the combined non-absorbed and presystemically metabolized fractions in the human. Xenobiotica. 43(7). 607–616. 11 indexed citations
8.
Sohlenius-Sternbeck, Anna-Karin, Urban Fagerholm, & Johan Bylund. (2013). The volume of distribution is an indicator of poorin vitro–in vivoextrapolation of clearance for acidic drugs in the rat. Xenobiotica. 43(8). 671–678. 3 indexed citations
9.
Sohlenius-Sternbeck, Anna-Karin, Chris Jones, Douglas Ferguson, et al.. (2012). Practical use of the regression offset approach for the prediction ofin vivointrinsic clearance from hepatocytes. Xenobiotica. 42(9). 841–853. 75 indexed citations
10.
Sohlenius-Sternbeck, Anna-Karin, Lovisa Afzelius, Peteris Prūsis, et al.. (2010). Evaluation of the human prediction of clearance from hepatocyte and microsome intrinsic clearance for 52 drug compounds. Xenobiotica. 40(9). 637–649. 96 indexed citations
11.
Johansson, Jenny, et al.. (2009). Comparison of intrinsic metabolic clearance in fresh and cryopreserved human hepatocytes. Xenobiotica. 39(9). 656–662. 23 indexed citations
12.
Sohlenius-Sternbeck, Anna-Karin. (2006). Determination of the hepatocellularity number for human, dog, rabbit, rat and mouse livers from protein concentration measurements. Toxicology in Vitro. 20(8). 1582–1586. 171 indexed citations
13.
Sohlenius-Sternbeck, Anna-Karin & Stefan Schmidt. (2005). Impaired glutathione-conjugating capacity by cryopreserved human and rat hepatocytes. Xenobiotica. 35(7). 727–736. 21 indexed citations
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Granhall, Charlotte, Anna Nordmark, Arkadiusz Orzechowski, et al.. (2002). Characterization of testosterone metabolism and 7-hydroxycoumarin conjugation by rat and human liver slices after storage in liquid nitrogen for 1 h up to 6 months. Xenobiotica. 32(11). 985–996. 6 indexed citations
18.
Sohlenius-Sternbeck, Anna-Karin, et al.. (2000). High conservation of both phase I and II drug-metabolizing activities in cryopreserved rat liver slices. Xenobiotica. 30(9). 891–903. 14 indexed citations
19.
Sohlenius-Sternbeck, Anna-Karin, Eeva‐Liisa Appelkvist, & Joseph W. DePierre. (2000). Effects of vitamin A deficiency on selected xenobiotic-metabolizing enzymes and defenses against oxidative stress in mouse liver. Biochemical Pharmacology. 59(4). 377–383. 11 indexed citations
20.
Sohlenius-Sternbeck, Anna-Karin, et al.. (2000). Metabolism of Sameridine to Monocarboxylated Products by Hepatocytes Isolated from the Male Rat. Drug Metabolism and Disposition. 28(6). 695–700. 13 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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