Hannah Britz

436 total citations
8 papers, 348 citations indexed

About

Hannah Britz is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Hannah Britz has authored 8 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Pharmacology and 2 papers in Oncology. Recurrent topics in Hannah Britz's work include Pharmacogenetics and Drug Metabolism (4 papers), Drug Transport and Resistance Mechanisms (2 papers) and Receptor Mechanisms and Signaling (2 papers). Hannah Britz is often cited by papers focused on Pharmacogenetics and Drug Metabolism (4 papers), Drug Transport and Resistance Mechanisms (2 papers) and Receptor Mechanisms and Signaling (2 papers). Hannah Britz collaborates with scholars based in Germany, United States and Norway. Hannah Britz's co-authors include Thorsten Lehr, Nina Hanke, Sebastian Frechen, Thomas Wendl, Thomas Eißing, Matthias Schwab, Jan‐Georg Wojtyniak, Dominik Selzer, Walter E. Haefeli and Olav Spigset and has published in prestigious journals such as Pharmaceutical Research, Clinical Pharmacokinetics and Cancer Chemotherapy and Pharmacology.

In The Last Decade

Hannah Britz

8 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hannah Britz Germany 8 170 104 67 54 53 8 348
Kirk Bertelsen United States 8 188 1.1× 126 1.2× 41 0.6× 53 1.0× 58 1.1× 11 456
Ian E. Templeton United States 9 212 1.2× 118 1.1× 80 1.2× 102 1.9× 41 0.8× 18 421
Denis Projean Canada 7 183 1.1× 122 1.2× 46 0.7× 86 1.6× 51 1.0× 12 405
Bruno Baune France 11 118 0.7× 73 0.7× 42 0.6× 61 1.1× 43 0.8× 14 372
Su-Er W. Huskey United States 11 194 1.1× 127 1.2× 56 0.8× 133 2.5× 37 0.7× 13 548
Mark Goldammer Germany 7 203 1.2× 176 1.7× 156 2.3× 84 1.6× 45 0.8× 12 479
Johan Nicolaï Belgium 12 129 0.8× 130 1.3× 140 2.1× 60 1.1× 74 1.4× 22 392
Brandon T. Gufford United States 11 145 0.9× 57 0.5× 50 0.7× 84 1.6× 61 1.2× 28 321
Kiyoshi Mihara Japan 11 118 0.7× 99 1.0× 29 0.4× 126 2.3× 55 1.0× 34 432
Shinichi Kijima Japan 6 229 1.3× 45 0.4× 35 0.5× 51 0.9× 39 0.7× 10 399

Countries citing papers authored by Hannah Britz

Since Specialization
Citations

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

Fields of papers citing papers by Hannah Britz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannah Britz. 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 Hannah Britz. The network helps show where Hannah Britz may publish in the future.

Co-authorship network of co-authors of Hannah Britz

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

All Works

8 of 8 papers shown
1.
Selzer, Dominik, Hannah Britz, Neal L. Benowitz, et al.. (2020). Comprehensive Parent–Metabolite PBPK/PD Modeling Insights into Nicotine Replacement Therapy Strategies. Clinical Pharmacokinetics. 59(9). 1119–1134. 11 indexed citations
2.
Wojtyniak, Jan‐Georg, Hannah Britz, Dominik Selzer, Matthias Schwab, & Thorsten Lehr. (2020). Data Digitizing: Accurate and Precise Data Extraction for Quantitative Systems Pharmacology and Physiologically‐Based Pharmacokinetic Modeling. CPT Pharmacometrics & Systems Pharmacology. 9(6). 322–331. 81 indexed citations
3.
Britz, Hannah, Nina Hanke, Mitchell E. Taub, et al.. (2020). Physiologically Based Pharmacokinetic Models of Probenecid and Furosemide to Predict Transporter Mediated Drug-Drug Interactions. Pharmaceutical Research. 37(12). 250–250. 22 indexed citations
4.
Britz, Hannah, Nina Hanke, Olav Spigset, et al.. (2019). Physiologically‐Based Pharmacokinetic Models for CYP1A2 Drug–Drug Interaction Prediction: A Modeling Network of Fluvoxamine, Theophylline, Caffeine, Rifampicin, and Midazolam. CPT Pharmacometrics & Systems Pharmacology. 8(5). 296–307. 34 indexed citations
5.
Hanke, Nina, Sebastian Frechen, Hannah Britz, et al.. (2018). PBPK Models for CYP3A4 and P‐gp DDI Prediction: A Modeling Network of Rifampicin, Itraconazole, Clarithromycin, Midazolam, Alfentanil, and Digoxin. CPT Pharmacometrics & Systems Pharmacology. 7(10). 647–659. 129 indexed citations
6.
7.
Britz, Hannah, Jürgen Burhenne, Clinton F. Stewart, et al.. (2017). A physiologically based pharmacokinetic and pharmacodynamic (PBPK/PD) model of the histone deacetylase (HDAC) inhibitor vorinostat for pediatric and adult patients and its application for dose specification. Cancer Chemotherapy and Pharmacology. 80(5). 1013–1026. 19 indexed citations
8.
Hanke, Nina, Hannah Britz, Sebastian Frechen, et al.. (2016). Clarithromycin, Midazolam, and Digoxin: Application of PBPK Modeling to Gain New Insights into Drug–Drug Interactions and Co-medication Regimens. The AAPS Journal. 19(1). 298–312. 33 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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