Kajsa P. Kanebratt

1.8k total citations
19 papers, 1.4k citations indexed

About

Kajsa P. Kanebratt is a scholar working on Pharmacology, Oncology and Surgery. According to data from OpenAlex, Kajsa P. Kanebratt has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pharmacology, 8 papers in Oncology and 5 papers in Surgery. Recurrent topics in Kajsa P. Kanebratt's work include Pharmacogenetics and Drug Metabolism (11 papers), Drug Transport and Resistance Mechanisms (8 papers) and Drug-Induced Hepatotoxicity and Protection (4 papers). Kajsa P. Kanebratt is often cited by papers focused on Pharmacogenetics and Drug Metabolism (11 papers), Drug Transport and Resistance Mechanisms (8 papers) and Drug-Induced Hepatotoxicity and Protection (4 papers). Kajsa P. Kanebratt collaborates with scholars based in Sweden, United Kingdom and United States. Kajsa P. Kanebratt's co-authors include Tommy B. Andersson, J. Gerry Kenna, Ulf Diczfalusy, Leif Bertilsson, Ylva Böttiger, Eva Bredberg, Uwe Marx, Charlotte Wennberg Huldt, William G. Haynes and Carina Ämmälä and has published in prestigious journals such as PLoS ONE, Scientific Reports and British Journal of Pharmacology.

In The Last Decade

Kajsa P. Kanebratt

19 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kajsa P. Kanebratt Sweden 13 556 412 328 307 271 19 1.4k
Gregor Tuschl Germany 9 397 0.7× 300 0.7× 259 0.8× 290 0.9× 411 1.5× 14 1.1k
Robyn L. Fisher United States 24 504 0.9× 347 0.8× 235 0.7× 202 0.7× 322 1.2× 47 1.4k
David B. Duignan United States 17 478 0.9× 278 0.7× 207 0.6× 514 1.7× 140 0.5× 25 1.1k
Stephen Fowler Switzerland 22 560 1.0× 321 0.8× 205 0.6× 314 1.0× 55 0.2× 47 1.1k
Dolores Diaz United States 15 270 0.5× 618 1.5× 143 0.4× 259 0.8× 118 0.4× 22 1.3k
Michael J. Liguori United States 17 391 0.7× 455 1.1× 88 0.3× 323 1.1× 143 0.5× 30 1.3k
Yang Sai China 17 297 0.5× 427 1.0× 119 0.4× 280 0.9× 77 0.3× 44 1.0k
Michael Török Switzerland 16 291 0.5× 483 1.2× 41 0.1× 418 1.4× 71 0.3× 24 1.3k
Lily Dara United States 16 604 1.1× 589 1.4× 30 0.1× 220 0.7× 355 1.3× 32 1.8k
Donna Li United States 9 422 0.8× 246 0.6× 51 0.2× 294 1.0× 196 0.7× 10 841

Countries citing papers authored by Kajsa P. Kanebratt

Since Specialization
Citations

This map shows the geographic impact of Kajsa P. Kanebratt'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 Kajsa P. Kanebratt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kajsa P. Kanebratt more than expected).

Fields of papers citing papers by Kajsa P. Kanebratt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kajsa P. Kanebratt. 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 Kajsa P. Kanebratt. The network helps show where Kajsa P. Kanebratt may publish in the future.

Co-authorship network of co-authors of Kajsa P. Kanebratt

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

All Works

19 of 19 papers shown
1.
Arjmandi, Hamidreza, et al.. (2024). 3D cell aggregates amplify diffusion signals. PLoS ONE. 19(9). e0310109–e0310109. 1 indexed citations
2.
Kanebratt, Kajsa P., Charlotte Wennberg Huldt, Lisa U. Magnusson, et al.. (2024). Normoglycemia and physiological cortisone level maintain glucose homeostasis in a pancreas-liver microphysiological system. Communications Biology. 7(1). 877–877. 4 indexed citations
3.
Arjmandi, Hamidreza, et al.. (2024). Spheroidal Molecular Communication via Diffusion: Signaling Between Homogeneous Cell Aggregates. IEEE Transactions on Molecular Biological and Multi-Scale Communications. 10(1). 197–210. 1 indexed citations
4.
Arjmandi, Hamidreza, et al.. (2023). Diffusive Molecular Communication with a Spheroidal Receiver for Organ-on-Chip Systems. Warwick Research Archive Portal (University of Warwick). 4464–4469. 2 indexed citations
5.
Bauer, Sophie, Kajsa P. Kanebratt, Charlotte Wennberg Huldt, et al.. (2022). Integrated experimental-computational analysis of a HepaRG liver-islet microphysiological system for human-centric diabetes research. PLoS Computational Biology. 18(10). e1010587–e1010587. 6 indexed citations
6.
Kanebratt, Kajsa P., Annika Janefeldt, Anna Vildhede, et al.. (2020). Primary Human Hepatocyte Spheroid Model as a 3D In Vitro Platform for Metabolism Studies. Journal of Pharmaceutical Sciences. 110(1). 422–431. 54 indexed citations
7.
Prill, Sebastian, Andrea Caddeo, Guido Baselli, et al.. (2019). The TM6SF2 E167K genetic variant induces lipid biosynthesis and reduces apolipoprotein B secretion in human hepatic 3D spheroids. Scientific Reports. 9(1). 11585–11585. 83 indexed citations
9.
Kvist, Alexander, Kajsa P. Kanebratt, Anna Walentinsson, et al.. (2018). Critical differences in drug metabolic properties of human hepatic cellular models, including primary human hepatocytes, stem cell derived hepatocytes, and hepatoma cell lines. Biochemical Pharmacology. 155. 124–140. 45 indexed citations
10.
Lundahl, Anna, et al.. (2018). Human hepatocytes and cytochrome P450‐selective inhibitors predict variability in human drug exposure more accurately than human recombinant P450s. British Journal of Pharmacology. 175(11). 2116–2129. 16 indexed citations
11.
Bauer, Sophie, Charlotte Wennberg Huldt, Kajsa P. Kanebratt, et al.. (2017). Functional coupling of human pancreatic islets and liver spheroids on-a-chip: Towards a novel human ex vivo type 2 diabetes model. Scientific Reports. 7(1). 14620–14620. 204 indexed citations
12.
Jones, Barry, Susanne Johansson, Kajsa P. Kanebratt, et al.. (2016). Managing the Risk of CYP3A Induction in Drug Development: A Strategic Approach. Drug Metabolism and Disposition. 45(1). 35–41. 32 indexed citations
13.
Sjögren, Erik, et al.. (2012). Optimized Experimental Design for the Estimation of Enzyme Kinetic Parameters: An Experimental Evaluation. Drug Metabolism and Disposition. 40(12). 2273–2279. 6 indexed citations
14.
Andersson, Tommy B., Kajsa P. Kanebratt, & J. Gerry Kenna. (2012). The HepaRG cell line: a uniquein vitrotool for understanding drug metabolism and toxicology in human. Expert Opinion on Drug Metabolism & Toxicology. 8(7). 909–920. 190 indexed citations
15.
Nylén, Hanna, et al.. (2012). A comparison of 4β‐hydroxycholesterol : cholesterol and 6β‐hydroxycortisol : cortisol as markers of CYP3A4 induction. British Journal of Clinical Pharmacology. 75(6). 1536–1540. 40 indexed citations
16.
Diczfalusy, Ulf, Kajsa P. Kanebratt, Eva Bredberg, et al.. (2008). 4β‐Hydroxycholesterol as an endogenous marker for CYP3A4/5 activity. Stability and half‐life of elimination after induction with rifampicin. British Journal of Clinical Pharmacology. 67(1). 38–43. 107 indexed citations
17.
Kanebratt, Kajsa P., Ulf Diczfalusy, Tobias Bäckström, et al.. (2008). Cytochrome P450 Induction by Rifampicin in Healthy Subjects: Determination Using the Karolinska Cocktail and the Endogenous CYP3A4 Marker 4β-Hydroxycholesterol. Clinical Pharmacology & Therapeutics. 84(5). 589–594. 116 indexed citations
18.
Kanebratt, Kajsa P. & Tommy B. Andersson. (2008). Evaluation of HepaRG Cells as an in Vitro Model for Human Drug Metabolism Studies. Drug Metabolism and Disposition. 36(7). 1444–1452. 269 indexed citations
19.
Kanebratt, Kajsa P. & Tommy B. Andersson. (2007). HepaRG Cells as an in Vitro Model for Evaluation of Cytochrome P450 Induction in Humans. Drug Metabolism and Disposition. 36(1). 137–145. 162 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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