Eleanor Howgate
- Pharmacology top 2%
- Oncology
- Pediatrics, Perinatology and Child Health
- Molecular Biology
- Computational Theory and Mathematics top 10%
- Co-authors
- Amin Rostami‐HodjeganGeoffrey T. TuckerKaren Rowland YeoK Rowland‐YeoZoe BarterMohammad Bagher ShiranHiroshi YamazakiTsutomu Shimada
- Topics
- Pharmacogenetics and Drug Metabolism (7 papers)Pharmacological Effects and Toxicity Studies (2 papers)Computational Drug Discovery Methods (2 papers)
- Journals
- Clinical Pharmacology & TherapeuticsBritish Journal of Clinical PharmacologyDrug Metabolism and Disposition
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Eleanor Howgate
10 papers receiving 401 citations
Peers
Comparison fields: 5 of 70
- Pharmacology 248
- Oncology 132
- Pediatrics, Perinatology and Child Health 85
- Molecular Biology 73
- Computational Theory and Mathematics 71
Countries citing papers authored by Eleanor Howgate
This map shows the geographic impact of Eleanor Howgate'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 Eleanor Howgate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eleanor Howgate more than expected).
Fields of papers citing papers by Eleanor Howgate
This network shows the impact of papers produced by Eleanor Howgate. 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 Eleanor Howgate. The network helps show where Eleanor Howgate may publish in the future.
Co-authorship network of co-authors of Eleanor Howgate
This figure shows the co-authorship network connecting the top 25 collaborators of Eleanor Howgate. A scholar is included among the top collaborators of Eleanor Howgate 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 Eleanor Howgate. Eleanor Howgate 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 | 13 | |
| 3 | 11 | |
| 4 | 6 | |
| 5 | 12 | |
| 6 | 50 | |
| 7 | Mechanistic Prediction of HIV Drug-Drug Interactions in Virtual Populations from in vitro Enzyme Kinetic Data: Ritonavir and Saquinavir | 2 |
| 8 | 65 | |
| 9 | 69 | |
| 10 | 186 |
About Eleanor Howgate
Eleanor Howgate is a scholar working on Pharmacology, Transplantation and Toxicology, having authored 10 papers that have together received 415 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (7 papers), Pharmacological Effects and Toxicity Studies (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Pharmacology (248 citations), Statistics and Probability (48 citations) and Oncology (132 citations). Eleanor Howgate has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Amin Rostami‐Hodjegan, Geoffrey T. Tucker, Karen Rowland Yeo, K Rowland‐Yeo, Zoe Barter, Mohammad Bagher Shiran, Hiroshi Yamazaki, Tsutomu Shimada, Shinichi Inoue and Trevor N. Johnson. Their work appears in journals such as Clinical Pharmacology & Therapeutics, British Journal of Clinical Pharmacology and Drug Metabolism and Disposition.
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.