Howard Burt

838 total citations
18 papers, 606 citations indexed

About

Howard Burt is a scholar working on Oncology, Pharmacology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Howard Burt has authored 18 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 8 papers in Pharmacology and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Howard Burt's work include Pharmacogenetics and Drug Metabolism (8 papers), Drug Transport and Resistance Mechanisms (7 papers) and Pharmacological Effects and Toxicity Studies (5 papers). Howard Burt is often cited by papers focused on Pharmacogenetics and Drug Metabolism (8 papers), Drug Transport and Resistance Mechanisms (7 papers) and Pharmacological Effects and Toxicity Studies (5 papers). Howard Burt collaborates with scholars based in United Kingdom, Switzerland and United States. Howard Burt's co-authors include Aleksandra Galetin, J. Brian Houston, Laura E. Gibbons, Sibylle Neuhoff, Matthew D. Harwood, Arian Emami Riedmaier, Lisa M. Almond, Amin Rostami‐Hodjegan, Lu Gaohua and Masoud Jamei and has published in prestigious journals such as Clinical Pharmacology & Therapeutics, Drug Metabolism and Disposition and European Journal of Pharmaceutical Sciences.

In The Last Decade

Howard Burt

16 papers receiving 590 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Howard Burt United Kingdom 12 337 306 156 97 79 18 606
Anthony Harrison United Kingdom 10 259 0.8× 220 0.7× 95 0.6× 101 1.0× 62 0.8× 15 536
Jingjing Yu United States 12 349 1.0× 306 1.0× 198 1.3× 160 1.6× 103 1.3× 23 852
Renato J. Scialis United States 15 232 0.7× 295 1.0× 144 0.9× 98 1.0× 39 0.5× 24 502
Susan Wong United States 17 314 0.9× 248 0.8× 98 0.6× 220 2.3× 55 0.7× 39 833
Oliver Hatley United Kingdom 16 324 1.0× 297 1.0× 145 0.9× 206 2.1× 106 1.3× 27 952
Noriko Okudaira Japan 16 292 0.9× 346 1.1× 205 1.3× 167 1.7× 53 0.7× 25 753
Ta C. Wu United States 8 301 0.9× 310 1.0× 186 1.2× 128 1.3× 82 1.0× 8 789
Dominic Surry United Kingdom 16 269 0.8× 354 1.2× 169 1.1× 146 1.5× 43 0.5× 19 639
Brian W. Ogilvie United States 16 510 1.5× 391 1.3× 190 1.2× 195 2.0× 86 1.1× 24 955
Manuela Grimstein United States 9 244 0.7× 145 0.5× 172 1.1× 93 1.0× 40 0.5× 14 535

Countries citing papers authored by Howard Burt

Since Specialization
Citations

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

Fields of papers citing papers by Howard Burt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Howard Burt

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

All Works

18 of 18 papers shown
1.
Kumar, Niyanta, Vaishali Dixit, Howard Burt, et al.. (2025). PBPK Modeling to Predict Clinical Drug–Drug Interaction and Impact of Hepatic Impairment for an ADC With the Payload Auristatin F‐Hydroxypropylamide. CPT Pharmacometrics & Systems Pharmacology. 14(10). 1661–1672.
2.
Rex, John, et al.. (2025). P-1238. Assessment of Body Weight upon PK of Olorofim in Patients with Invasive Mould Infections. Open Forum Infectious Diseases. 12(Supplement_1).
3.
Okudaira, Noriko, Howard Burt, & Amitava Mitra. (2024). Tipifarnib physiologically‐based pharmacokinetic modeling to assess drug–drug interaction, organ impairment, and biopharmaceutics in healthy subjects and cancer patients. CPT Pharmacometrics & Systems Pharmacology. 13(8). 1366–1379. 1 indexed citations
4.
Abla, Nada, Eleanor Howgate, Karen Rowland Yeo, et al.. (2023). Development and application of a PBPK modeling strategy to support antimalarial drug development. CPT Pharmacometrics & Systems Pharmacology. 12(9). 1335–1346. 13 indexed citations
5.
Burt, Howard, et al.. (2021). Development and verification of an endogenous PBPK model to inform hydrocortisone replacement dosing in children and adults with cortisol deficiency. European Journal of Pharmaceutical Sciences. 165. 105913–105913. 16 indexed citations
6.
Burt, Howard, et al.. (2020). Insights into Praziquantel Metabolism and Potential Enantiomeric Cytochrome P450–Mediated Drug-Drug Interaction. Drug Metabolism and Disposition. 48(6). 481–490. 6 indexed citations
7.
Darwich, Adam S., Howard Burt, & Amin Rostami‐Hodjegan. (2019). The nested enzyme-within-enterocyte (NEWE) turnover model for predicting dynamic drug and disease effects on the gut wall. European Journal of Pharmaceutical Sciences. 131. 195–207. 5 indexed citations
8.
Taskar, Kunal S., Venkatesh Pilla Reddy, Howard Burt, et al.. (2019). Physiologically‐Based Pharmacokinetic Models for Evaluating Membrane Transporter Mediated Drug–Drug Interactions: Current Capabilities, Case Studies, Future Opportunities, and Recommendations. Clinical Pharmacology & Therapeutics. 107(5). 1082–1115. 110 indexed citations
9.
Bonate, Peter L., Tianli Wang, Paul Passier, et al.. (2018). Extrapolation of praziquantel pharmacokinetics to a pediatric population: a cautionary tale. Journal of Pharmacokinetics and Pharmacodynamics. 45(5). 747–762. 19 indexed citations
10.
Burt, Howard, Arian Emami Riedmaier, Matthew D. Harwood, et al.. (2016). Abundance of Hepatic Transporters in Caucasians: A Meta-Analysis. Drug Metabolism and Disposition. 44(10). 1550–1561. 59 indexed citations
11.
12.
Burt, Howard, Sibylle Neuhoff, Lisa M. Almond, et al.. (2016). Metformin and cimetidine: Physiologically based pharmacokinetic modelling to investigate transporter mediated drug–drug interactions. European Journal of Pharmaceutical Sciences. 88. 70–82. 97 indexed citations
13.
Molette, Jérôme, Nada Abla, Dominique Besson, et al.. (2013). Identification and Optimization of an Aminoalcohol-Carbazole Series with Antimalarial Properties. ACS Medicinal Chemistry Letters. 4(11). 1037–1041. 37 indexed citations
14.
Burt, Howard, Henry Pertinez, Claire Collins, et al.. (2012). Progress Curve Mechanistic Modeling Approach for Assessing Time-Dependent Inhibition of CYP3A4. Drug Metabolism and Disposition. 40(9). 1658–1667. 14 indexed citations
15.
Burt, Howard, Aleksandra Galetin, & J. Brian Houston. (2010). IC50-based approaches as an alternative method for assessment of time-dependent inhibition of CYP3A4. Xenobiotica. 40(5). 331–343. 31 indexed citations
16.
17.
Galetin, Aleksandra, Howard Burt, Laura E. Gibbons, & J. Brian Houston. (2005). PREDICTION OF TIME-DEPENDENT CYP3A4 DRUG-DRUG INTERACTIONS: IMPACT OF ENZYME DEGRADATION, PARALLEL ELIMINATION PATHWAYS, AND INTESTINAL INHIBITION. Drug Metabolism and Disposition. 34(1). 166–175. 122 indexed citations
18.
Burt, Howard, Darrell M. Wilson, & Caroline Quin. (1955). Discussion on Hydrocortisone. Proceedings of the Royal Society of Medicine. 48(6). 425–432. 3 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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