Daniel Scotcher

900 total citations
32 papers, 637 citations indexed

About

Daniel Scotcher is a scholar working on Oncology, Pharmacology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Daniel Scotcher has authored 32 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 10 papers in Pharmacology and 9 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Daniel Scotcher's work include Drug Transport and Resistance Mechanisms (20 papers), Pharmacogenetics and Drug Metabolism (10 papers) and Pharmacological Effects and Toxicity Studies (9 papers). Daniel Scotcher is often cited by papers focused on Drug Transport and Resistance Mechanisms (20 papers), Pharmacogenetics and Drug Metabolism (10 papers) and Pharmacological Effects and Toxicity Studies (9 papers). Daniel Scotcher collaborates with scholars based in United Kingdom, United States and Germany. Daniel Scotcher's co-authors include Aleksandra Galetin, Amin Rostami‐Hodjegan, Christopher R. Jones, David Craufurd, Andrew J. Wallace, H Harris, R Harris, Maria M. Posada, Jill Barber and Brahim Achour and has published in prestigious journals such as FEBS Letters, Journal of Pharmacology and Experimental Therapeutics and Journal of Pharmaceutical Sciences.

In The Last Decade

Daniel Scotcher

32 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Scotcher United Kingdom 19 301 216 199 106 92 32 637
Azemi Barama Canada 14 212 0.7× 190 0.9× 166 0.8× 84 0.8× 67 0.7× 28 672
Sarah Shugarts United States 9 259 0.9× 119 0.6× 134 0.7× 60 0.6× 130 1.4× 13 691
Vicky Hsu United States 11 380 1.3× 231 1.1× 304 1.5× 68 0.6× 196 2.1× 12 960
Takenori Niioka Japan 20 320 1.1× 220 1.0× 202 1.0× 171 1.6× 166 1.8× 72 1.0k
Kelly Bleasby United States 16 674 2.2× 349 1.6× 236 1.2× 58 0.5× 240 2.6× 21 1.1k
Sameh R. Abul‐Ezz United States 14 179 0.6× 70 0.3× 147 0.7× 111 1.0× 133 1.4× 26 800
Eve‐Irene Lepist United States 16 278 0.9× 199 0.9× 99 0.5× 56 0.5× 186 2.0× 22 975
Aurélie Prémaud France 15 127 0.4× 284 1.3× 100 0.5× 36 0.3× 143 1.6× 26 934
Landry K. Kamdem United States 12 338 1.1× 229 1.1× 326 1.6× 49 0.5× 162 1.8× 21 898
Chantal Barin‐Le Guellec France 14 128 0.4× 114 0.5× 79 0.4× 41 0.4× 115 1.3× 36 545

Countries citing papers authored by Daniel Scotcher

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Scotcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Scotcher

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Scotcher. A scholar is included among the top collaborators of Daniel Scotcher 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 Daniel Scotcher. Daniel Scotcher 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.
Rostami‐Hodjegan, Amin, et al.. (2025). Evaluation of Adefovir PBPK Model to Assess Biomarker‐Informed OAT1 Drug–Drug Interaction and Effect of Chronic Kidney Disease. CPT Pharmacometrics & Systems Pharmacology. 14(5). 964–974. 1 indexed citations
2.
Scotcher, Daniel, et al.. (2025). Genotype, Ethnicity, and Drug–Drug Interaction Modeling as Means of Verifying Transporter Biomarker PBPK Model: The Coproporphyrin‐I Story. CPT Pharmacometrics & Systems Pharmacology. 14(5). 941–953. 2 indexed citations
3.
Bolleddula, Jayaprakasam, Robert S. Jones, Priyanka Kulkarni, et al.. (2024). Establishing a physiologically based pharmacokinetic framework for aldehyde oxidase and dual aldehyde oxidase‐CYP substrates. CPT Pharmacometrics & Systems Pharmacology. 14(1). 164–178. 1 indexed citations
4.
Galetin, Aleksandra, et al.. (2024). Facing the Facts of Altered Plasma Protein Binding: Do Current Models Correctly Predict Changes in Fraction Unbound in Special Populations?. Journal of Pharmaceutical Sciences. 113(6). 1664–1673. 5 indexed citations
5.
Snoeys, Jan, et al.. (2023). Development of 4‐Pyridoxic Acid PBPK Model to Support Biomarker‐Informed Evaluation of OAT1/3 Inhibition and Effect of Chronic Kidney Disease. Clinical Pharmacology & Therapeutics. 114(6). 1243–1253. 14 indexed citations
6.
El‐Khateeb, Eman, Rajkumar Chinnadurai, Daniel Scotcher, et al.. (2023). Using Prior Knowledge on Systems Through PBPK to Gain Further Insight into Routine Clinical Data on Trough Concentrations: The Case of Tacrolimus in Chronic Kidney Disease. Therapeutic Drug Monitoring. 45(6). 743–753. 3 indexed citations
7.
Bolleddula, Jayaprakasam, Lionel Cheruzel, Robert S. Jones, et al.. (2023). Challenges and Opportunities for In Vitro–In Vivo Extrapolation of Aldehyde Oxidase-Mediated Clearance: Toward a Roadmap for Quantitative Translation. Drug Metabolism and Disposition. 51(12). 1591–1606. 6 indexed citations
8.
Barber, Jill, Zubida M. Al‐Majdoub, Narciso Couto, et al.. (2023). Toward systems-informed models for biologics disposition: covariates of the abundance of the neonatal Fc Receptor (FcRn) in human tissues and implications for pharmacokinetic modelling. European Journal of Pharmaceutical Sciences. 182. 106375–106375. 9 indexed citations
10.
Al‐Majdoub, Zubida M., Daniel Scotcher, Brahim Achour, et al.. (2021). Quantitative Proteomic Map of Enzymes and Transporters in the Human Kidney: Stepping Closer to Mechanistic Kidney Models to Define Local Kinetics. Clinical Pharmacology & Therapeutics. 110(5). 1389–1400. 23 indexed citations
11.
Achour, Brahim, Daniel Scotcher, Sheila Annie Peters, et al.. (2021). Hepatic Scaling Factors for In Vitro–In Vivo Extrapolation of Metabolic Drug Clearance in Patients with Colorectal Cancer with Liver Metastasis. Drug Metabolism and Disposition. 49(7). 563–571. 14 indexed citations
12.
Scotcher, Daniel & Aleksandra Galetin. (2021). PBPK Simulation-Based Evaluation of Ganciclovir Crystalluria Risk Factors: Effect of Renal Impairment, Old Age, and Low Fluid Intake. The AAPS Journal. 24(1). 13–13. 11 indexed citations
13.
Scotcher, Daniel, Vikram Arya, Xinning Yang, et al.. (2020). A Novel Physiologically Based Model of Creatinine Renal Disposition to Integrate Current Knowledge of Systems Parameters and Clinical Observations. CPT Pharmacometrics & Systems Pharmacology. 9(6). 310–321. 18 indexed citations
14.
Scotcher, Daniel, Vikram Arya, Xinning Yang, et al.. (2020). Mechanistic Models as Framework for Understanding Biomarker Disposition: Prediction of Creatinine‐Drug Interactions. CPT Pharmacometrics & Systems Pharmacology. 9(5). 282–293. 22 indexed citations
15.
El‐Khateeb, Eman, Brahim Achour, Daniel Scotcher, et al.. (2020). Scaling Factors for Clearance in Adult Liver Cirrhosis. Drug Metabolism and Disposition. 48(12). 1271–1282. 19 indexed citations
16.
Matsuzaki, Takanobu, Daniel Scotcher, Adam S. Darwich, Aleksandra Galetin, & Amin Rostami‐Hodjegan. (2018). Towards Further Verification of Physiologically-Based Kidney Models: Predictability of the Effects of Urine-Flow and Urine-pH on Renal Clearance. Journal of Pharmacology and Experimental Therapeutics. 368(2). 157–168. 19 indexed citations
17.
Scotcher, Daniel, Christopher R. Jones, Maria M. Posada, Aleksandra Galetin, & Amin Rostami‐Hodjegan. (2016). Key to Opening Kidney for In Vitro-In Vivo Extrapolation Entrance in Health and Disease: Part II: Mechanistic Models and In Vitro-In Vivo Extrapolation. The AAPS Journal. 18(5). 1082–1094. 28 indexed citations
18.
Scotcher, Daniel, Christopher R. Jones, Maria M. Posada, Amin Rostami‐Hodjegan, & Aleksandra Galetin. (2016). Key to Opening Kidney for In Vitro–In Vivo Extrapolation Entrance in Health and Disease: Part I: In Vitro Systems and Physiological Data. The AAPS Journal. 18(5). 1067–1081. 37 indexed citations
19.
Scotcher, Daniel, Christopher R. Jones, Amin Rostami‐Hodjegan, & Aleksandra Galetin. (2016). Novel minimal physiologically-based model for the prediction of passive tubular reabsorption and renal excretion clearance. European Journal of Pharmaceutical Sciences. 94. 59–71. 38 indexed citations
20.
Harris, H, et al.. (1996). Pilot study of the acceptability of cystic fibrosis carrier testing during routine antenatal consultations in general practice.. PubMed. 46(405). 225–7. 21 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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