Philip Hewitt

5.0k total citations · 1 hit paper
74 papers, 2.2k citations indexed

About

Philip Hewitt is a scholar working on Pharmacology, Molecular Biology and Oncology. According to data from OpenAlex, Philip Hewitt has authored 74 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Pharmacology, 23 papers in Molecular Biology and 15 papers in Oncology. Recurrent topics in Philip Hewitt's work include Pharmacogenetics and Drug Metabolism (18 papers), Drug-Induced Hepatotoxicity and Protection (17 papers) and Computational Drug Discovery Methods (10 papers). Philip Hewitt is often cited by papers focused on Pharmacogenetics and Drug Metabolism (18 papers), Drug-Induced Hepatotoxicity and Protection (17 papers) and Computational Drug Discovery Methods (10 papers). Philip Hewitt collaborates with scholars based in Germany, Switzerland and United Kingdom. Philip Hewitt's co-authors include T Fuchs, Nicola J. Hewitt, Stefan O. Mueller, Sharon A.M. Hotchkiss, Angela Mally, W. Dekant, Dana Hoffmann, Katja Matheis, Adrian Roth and Richard Weaver and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Molecular and Cellular Biology.

In The Last Decade

Philip Hewitt

71 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The evolving role of investigative toxicology in the pharmaceutical industry

2023 132 citations Mario Beilmann, Harrie C. M. Boonen et al. Nature Reviews Drug Discovery profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philip Hewitt Germany	27	773	452	354	246	229	74	2.2k
Graham R. Betton United Kingdom	15	583 0.8×	501 1.1×	290 0.8×	201 0.8×	183 0.8×	34	2.2k
Laura Suter‐Dick Switzerland	27	1.1k 1.5×	352 0.8×	661 1.9×	292 1.2×	285 1.2×	70	2.4k
Caroline Aninat France	19	855 1.1×	620 1.4×	391 1.1×	329 1.3×	435 1.9×	34	2.2k
Edward J. Kelly United States	35	1.1k 1.4×	556 1.2×	621 1.8×	643 2.6×	90 0.4×	96	3.5k
Alison E.M. Vickers United States	23	443 0.6×	503 1.1×	135 0.4×	330 1.3×	219 1.0×	55	1.5k
Nick Plant United Kingdom	28	995 1.3×	715 1.6×	105 0.3×	628 2.6×	59 0.3×	87	2.5k
B. Kevin Park United Kingdom	25	786 1.0×	566 1.3×	106 0.3×	211 0.9×	150 0.7×	36	2.5k
Terry R. Van Vleet United States	20	609 0.8×	181 0.4×	216 0.6×	226 0.9×	53 0.2×	35	1.5k
Fabrice Morel France	32	1.7k 2.1×	1.2k 2.6×	250 0.7×	683 2.8×	614 2.7×	51	3.6k
Jacky Vonderscher Switzerland	24	656 0.8×	111 0.2×	61 0.2×	273 1.1×	90 0.4×	44	2.2k

Countries citing papers authored by Philip Hewitt

Since Specialization

Citations

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

Fields of papers citing papers by Philip Hewitt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Hewitt

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

All Works

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20 of 20 papers shown

Negi, Chander K., Courtney Sakolish, Gang Han, et al.. (2025). Comparative Analysis of Species-Specific Hepatocyte Function and Drug Effects in a Liver Microphysiological System PhysioMimix LC12 and 96-Well Plates. ACS Pharmacology & Translational Science. 8(11). 4138–4158. 1 indexed citations

Zimmer, Aline, et al.. (2025). Comparative Proteomic Characterization of Serum-Free Cultivated HepG2 Cells Reveals Upregulated Drug Metabolism and Increased Oxidative Stress Protection. Journal of Proteome Research. 24(8). 3961–3978.

Beilmann, Mario, Karissa Adkins, Harrie C. M. Boonen, et al.. (2025). Application of new approach methodologies for nonclinical safety assessment of drug candidates. Nature Reviews Drug Discovery. 24(9). 705–725. 7 indexed citations

Hewitt, Philip, et al.. (2024). Absence of developmental and reproductive toxicity in rats, rabbits, and zebrafish embryos exposed to antimalarial drug cabamiquine. Birth Defects Research. 116(8). e2389–e2389. 1 indexed citations

Sakolish, Courtney, Paul L. Carmichael, Maria Teresa Baltazar, et al.. (2024). An in vitro-in silico workflow for predicting renal clearance of PFAS. Toxicology and Applied Pharmacology. 489. 117015–117015. 3 indexed citations

Chichagova, Valeria, Μαρία Γεωργίου, Birthe Dorgau, et al.. (2023). Incorporating microglia‐like cells in human induced pluripotent stem cell‐derived retinal organoids. Journal of Cellular and Molecular Medicine. 27(3). 435–445. 21 indexed citations

Hewitt, Philip, et al.. (2023). Expression Analysis of Exosomal MicroRNAs in Chlorpromazine Treated Human Hepatic Spheroids: A Promising Tool for Novel Drug-Induced Liver Injury Biomarker Discovery. 9(2). 65–76.

Ziegler, Nicole, Dominique Thomas, Georg Damm, et al.. (2023). Immuno-inflammatory in vitro hepatotoxicity models to assess side effects of biologicals exemplified by aldesleukin. Frontiers in Immunology. 14. 1275368–1275368. 5 indexed citations

Hallam, Dean, Gerrit Hilgen, Birthe Dorgau, et al.. (2018). Efficient generation of laminated and light responsive retinal organoids for use in toxicological assays. Investigative Ophthalmology & Visual Science. 59(9). 5329–5329. 1 indexed citations

10.

Abla, Nada, Sridevi Bashyam, Susan A. Charman, et al.. (2017). Long-Lasting and Fast-Acting in Vivo Efficacious Antiplasmodial Azepanylcarbazole Amino Alcohol. ACS Medicinal Chemistry Letters. 8(12). 1304–1308. 11 indexed citations

11.

Jiang, Xiaoqi, Marc Aubry, Rozenn Jossé, et al.. (2015). Transcriptomic analysis of untreated and drug-treated differentiated HepaRG cells over a 2-week period. Toxicology in Vitro. 30(1). 27–35. 6 indexed citations

12.

Consiglio, Emma Di, C. Parmentier, Frédéric Y. Bois, et al.. (2015). Understanding the biokinetics of ibuprofen after single and repeated treatments in rat and human in vitro liver cell systems. Toxicology Letters. 233(2). 172–186. 27 indexed citations

13.

Jennings, Paul, Daniel Crean, Lydia Aschauer, et al.. (2014). Interleukin-19 as a translational indicator of renal injury. Archives of Toxicology. 89(1). 101–106. 22 indexed citations

14.

Parmentier, C., Rozenn Jossé, Eliane Alexandre, et al.. (2014). Biokinetics of chlorpromazine in primary rat and human hepatocytes and human HepaRG cells after repeated exposure. Toxicology in Vitro. 30(1). 52–61. 22 indexed citations

15.

Crean, Daniel, Patricia Bellwon, Lydia Aschauer, et al.. (2014). Development of an in vitro renal epithelial disease state model for xenobiotic toxicity testing. Toxicology in Vitro. 30(1). 128–137. 33 indexed citations

16.

Aschauer, Lydia, Leonhard Gruber, Walter Pfaller, et al.. (2013). Delineation of the Key Aspects in the Regulation of Epithelial Monolayer Formation. Molecular and Cellular Biology. 33(13). 2535–2550. 59 indexed citations

17.

Hrach, Jens, Stefan O. Mueller, & Philip Hewitt. (2011). Development of an in vitro liver toxicity prediction model based on longer term primary rat hepatocyte culture. Toxicology Letters. 206(2). 189–196. 18 indexed citations

18.

Matheis, Katja, Emmanuelle Com, Jean‐Charles Gautier, et al.. (2010). Cross-study and cross-omics comparisons of three nephrotoxic compounds reveal mechanistic insights and new candidate biomarkers. Toxicology and Applied Pharmacology. 252(2). 112–122. 26 indexed citations

19.

Hewitt, Philip, et al.. (2010). Activation of P53 in HepG2 cells as surrogate to detect mutagens and promutagens in vitro. Toxicology Letters. 198(2). 272–281. 26 indexed citations

20.

Hewitt, Philip, et al.. (2007). Acute Hepatotoxicity: A Predictive Model Based on Focused Illumina Microarrays. Toxicological Sciences. 99(1). 289–302. 75 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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