Philip Hewitt
- Molecular Biology top 10%
- Pharmacology top 0.5%
- Biomedical Engineering top 10%
- Oncology top 10%
- Hepatology top 5%
- Co-authors
- T FuchsNicola J. HewittStefan O. MuellerSharon A.M. HotchkissAngela MallyW. DekantDana HoffmannKatja Matheis
- Topics
- Pharmacogenetics and Drug Metabolism (18 papers)Drug-Induced Hepatotoxicity and Protection (17 papers)Computational Drug Discovery Methods (10 papers)
- Cited by
- PharmacologyNephrologyHepatology
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaMolecular and Cellular Biology
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Philip Hewitt
71 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 773
- Pharmacology 452
- Biomedical Engineering 354
- Oncology 246
- Hepatology 229
Countries citing papers authored by Philip Hewitt
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 21 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | Efficient generation of laminated and light responsive retinal organoids for use in toxicological assays | 1 |
| 10 | 11 | |
| 11 | 6 | |
| 12 | 27 | |
| 13 | 22 | |
| 14 | 22 | |
| 15 | 33 | |
| 16 | 59 | |
| 17 | 18 | |
| 18 | 26 | |
| 19 | 26 | |
| 20 | 75 |
About Philip Hewitt
Philip Hewitt is a scholar working on Pharmacology, Nephrology and Hepatology, having authored 74 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (18 papers), Drug-Induced Hepatotoxicity and Protection (17 papers) and Computational Drug Discovery Methods (10 papers). The work is most often cited by research in Pharmacology (452 citations), Nephrology (225 citations) and Hepatology (229 citations). Philip Hewitt has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent 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. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Molecular and Cellular Biology.
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.