Philip Rowe

1.9k total citations
37 papers, 1.5k citations indexed

About

Philip Rowe is a scholar working on Geriatrics and Gerontology, Pharmaceutical Science and Computational Theory and Mathematics. According to data from OpenAlex, Philip Rowe has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Geriatrics and Gerontology, 7 papers in Pharmaceutical Science and 7 papers in Computational Theory and Mathematics. Recurrent topics in Philip Rowe's work include Pharmaceutical Practices and Patient Outcomes (11 papers), Drug Solubulity and Delivery Systems (7 papers) and Computational Drug Discovery Methods (7 papers). Philip Rowe is often cited by papers focused on Pharmaceutical Practices and Patient Outcomes (11 papers), Drug Solubulity and Delivery Systems (7 papers) and Computational Drug Discovery Methods (7 papers). Philip Rowe collaborates with scholars based in United Kingdom, United States and Bulgaria. Philip Rowe's co-authors include James L. Ford, David R. Mottram, Christopher F. Green, Munir Pirmohamed, Matthew Roberts, María V. Velasco, Ali R. Rajabi‐Siahboomi, M Cronin, Judith C. Madden and Michael Rubinstein and has published in prestigious journals such as Chemosphere, Journal of Controlled Release and Computers & Education.

In The Last Decade

Philip Rowe

37 papers receiving 1.4k citations

Peers

Philip Rowe
Yousif A. Asiri Saudi Arabia
Aleš Mrhar Slovenia
Nicholas G. Popovich United States
Timothy S. Tracy United States
D.M. Barends Netherlands
Pascal Bonnabry Switzerland
Yousif A. Asiri Saudi Arabia
Philip Rowe
Citations per year, relative to Philip Rowe Philip Rowe (= 1×) peers Yousif A. Asiri

Countries citing papers authored by Philip Rowe

Since Specialization
Citations

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

Fields of papers citing papers by Philip Rowe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Rowe

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Rowe. A scholar is included among the top collaborators of Philip Rowe 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 Rowe. Philip Rowe 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.
Firman, James W., M Cronin, Philip Rowe, Elizaveta Semenova, & John E. Doe. (2022). The use of Bayesian methodology in the development and validation of a tiered assessment approach towards prediction of rat acute oral toxicity. Archives of Toxicology. 96(3). 817–830. 6 indexed citations
2.
Lock, Edward A., et al.. (2017). Trichloroethylene-induced formic aciduria in the male C57 Bl/6 mouse. Toxicology. 378. 76–85. 8 indexed citations
3.
Rowe, Philip. (2015). Essential Statistics for the Pharmaceutical Sciences. Medical Entomology and Zoology. 27 indexed citations
4.
Krska, Janet, C Morecroft, Philip Rowe, & Helen Poole. (2014). Measuring the impact of long-term medicines use from the patient perspective. International Journal of Clinical Pharmacy. 36(4). 675–678. 25 indexed citations
5.
Dearden, John C. & Philip Rowe. (2014). Use of Artificial Neural Networks in the QSAR Prediction of Physicochemical Properties and Toxicities for REACH Legislation. Methods in molecular biology. 1260. 65–88. 13 indexed citations
6.
Rowe, Philip, et al.. (2014). Using statement banks to return online feedback: limitations of the transmission approach in a credit-bearing assessment. Assessment & Evaluation in Higher Education. 40(8). 1095–1103. 7 indexed citations
7.
Krska, Janet, C Morecroft, Helen Poole, & Philip Rowe. (2013). Issues potentially affecting quality of life arising from long-term medicines use: a qualitative study. International Journal of Clinical Pharmacy. 35(6). 1161–1169. 53 indexed citations
8.
Gutsell, Steve, et al.. (2012). Robustness of an Immobilized Artificial Membrane High-Performance Liquid Chromatography Method for the Determination of Lipophilicity. Journal of Chemical & Engineering Data. 57(12). 3696–3700. 4 indexed citations
9.
Davies, Emma, Philip Rowe, Amitava Ganguli, et al.. (2011). An Investigation of Disagreement in Causality Assessment of Adverse Drug Reactions. Pharmaceutical Medicine. 25(1). 17–24. 22 indexed citations
10.
Davies, Emma, Christopher F. Green, David R. Mottram, Philip Rowe, & Munir Pirmohamed. (2010). Emergency re‐admissions to hospital due to adverse drug reactions within 1 year of the index admission. British Journal of Clinical Pharmacology. 70(5). 749–755. 87 indexed citations
11.
Roberts, Matthew, James L. Ford, Graeme S. Macleod, et al.. (2003). Effects of surface roughness and chrome plating of punch tips on the sticking tendencies of model ibuprofen formulations. Journal of Pharmacy and Pharmacology. 55(9). 1223–1228. 54 indexed citations
12.
Cronin, M, Aynur O. Aptula, Judith Duffy, et al.. (2002). Comparative assessment of methods to develop QSARs for the prediction of the toxicity of phenols to Tetrahymena pyriformis. Chemosphere. 49(10). 1201–1221. 127 indexed citations
13.
Cronin, M, Aynur O. Aptula, John C. Dearden, et al.. (2002). Structure-Based Classification of Antibacterial Activity. Journal of Chemical Information and Computer Sciences. 42(4). 869–878. 74 indexed citations
14.
Green, Christopher F., David R. Mottram, Philip Rowe, & Munir Pirmohamed. (2001). Attitudes and knowledge of hospital pharmacists to adverse drug reaction reporting. British Journal of Clinical Pharmacology. 51(1). 81–86. 150 indexed citations
15.
Velasco, María V., James L. Ford, Philip Rowe, & Ali R. Rajabi‐Siahboomi. (1999). Influence of drug:hydroxypropylmethylcellulose ratio, drug and polymer particle size and compression force on the release of diclofenac sodium from HPMC tablets. Journal of Controlled Release. 57(1). 75–85. 184 indexed citations
16.
Green, Christopher F., et al.. (1999). Attitudes of hospital pharmacists to adverse drug reactions and the “yellow card” scheme: a qualitative study. International Journal of Pharmacy Practice. 7(4). 247–255. 9 indexed citations
18.
Nokhodchi, Ali, James L. Ford, Philip Rowe, & Michael Rubinstein. (1996). The effects of compression rate and force on the compaction properties of different viscosity grades of hydroxypropylmethylcellulose 2208. International Journal of Pharmaceutics. 129(1-2). 21–31. 47 indexed citations
19.
Nokhodchi, Ali, James L. Ford, Philip Rowe, & Michael Rubinstein. (1996). The Influence of Moisture Content on the Consolidation Properties of Hydroxypropylmethylcellulose K4M (HPMC 2208). Journal of Pharmacy and Pharmacology. 48(11). 1116–1121. 29 indexed citations
20.
Ford, James L., Karen Mitchell, Philip Rowe, et al.. (1991). Mathematical modelling of drug release from hydroxypropylmethylcellulose matrices: Effect of temperature. International Journal of Pharmaceutics. 71(1-2). 95–104. 133 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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