W. Pugh

3.2k total citations · 1 hit paper
68 papers, 2.2k citations indexed

About

W. Pugh is a scholar working on Pharmaceutical Science, Organic Chemistry and Dermatology. According to data from OpenAlex, W. Pugh has authored 68 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pharmaceutical Science, 17 papers in Organic Chemistry and 16 papers in Dermatology. Recurrent topics in W. Pugh's work include Advancements in Transdermal Drug Delivery (25 papers), Dermatology and Skin Diseases (11 papers) and Essential Oils and Antimicrobial Activity (9 papers). W. Pugh is often cited by papers focused on Advancements in Transdermal Drug Delivery (25 papers), Dermatology and Skin Diseases (11 papers) and Essential Oils and Antimicrobial Activity (9 papers). W. Pugh collaborates with scholars based in United Kingdom, Australia and South Africa. W. Pugh's co-authors include Jonathan Hadgraft, A.D. Russell, J. R. Furr, Dan Read, Françoise Falson, Michael S. Roberts, Vincent Faivre, Pierre-Louis Bardonnet, Jean-Claude Piffaretti and İsmail Tuncer Değim and has published in prestigious journals such as Nature, Journal of Controlled Release and International Journal of Pharmaceutics.

In The Last Decade

W. Pugh

59 papers receiving 2.0k citations

Hit Papers

Interaction of silver nitrate with readily identifiable g... 1997 2026 2006 2016 1997 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Pugh United Kingdom 22 1.0k 475 431 351 296 68 2.2k
G.L. Flynn United States 23 1.0k 1.0× 298 0.6× 412 1.0× 400 1.1× 113 0.4× 41 1.9k
Petteri Paronen Finland 29 1.2k 1.2× 250 0.5× 166 0.4× 184 0.5× 428 1.4× 90 2.3k
J H Collett United Kingdom 35 1.6k 1.6× 319 0.7× 188 0.4× 926 2.6× 360 1.2× 119 3.1k
Santo Scalia Italy 36 1.1k 1.1× 244 0.5× 708 1.6× 237 0.7× 530 1.8× 131 3.4k
Jong Soo Woo South Korea 31 1.7k 1.7× 449 0.9× 150 0.3× 241 0.7× 277 0.9× 118 3.4k
Marı́a Luisa González-Rodrı́guez Spain 29 1.7k 1.7× 258 0.5× 297 0.7× 254 0.7× 407 1.4× 69 3.0k
Flynn W. Warren United States 9 1.1k 1.1× 294 0.6× 62 0.1× 225 0.6× 489 1.7× 19 2.7k
William H. Doub United States 22 512 0.5× 379 0.8× 183 0.4× 122 0.3× 126 0.4× 56 1.7k
A. M. Rabasco Spain 34 2.2k 2.2× 599 1.3× 298 0.7× 385 1.1× 436 1.5× 119 3.9k
R.H. Müller Germany 22 1.5k 1.5× 200 0.4× 196 0.5× 303 0.9× 499 1.7× 46 2.5k

Countries citing papers authored by W. Pugh

Since Specialization
Citations

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

Fields of papers citing papers by W. Pugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Pugh

This figure shows the co-authorship network connecting the top 25 collaborators of W. Pugh. A scholar is included among the top collaborators of W. Pugh 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 W. Pugh. W. Pugh 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.
Moss, Gary P., et al.. (2011). The application of discriminant analysis and Machine Learning methods as tools to identify and classify compounds with potential as transdermal enhancers. European Journal of Pharmaceutical Sciences. 45(1-2). 116–127. 25 indexed citations
2.
Pugh, W., et al.. (2010). Formulation and characterization of a captopril ethyl ester drug-in-adhesive-type patch for percutaneous absorption. Drug Development and Industrial Pharmacy. 36(8). 926–932. 13 indexed citations
3.
Moss, Gary P., Yi Sun, Neil Davey, et al.. (2009). The application of Gaussian processes in the prediction of percutaneous absorption. Journal of Pharmacy and Pharmacology. 61(9). 1147–1153. 23 indexed citations
4.
Pugh, W., et al.. (2009). Metabolism of captopril carboxyl ester derivatives for percutaneous absorption. Journal of Pharmacy and Pharmacology. 61(2). 159–165. 3 indexed citations
5.
Pugh, W., Robert J. Wong, Françoise Falson, Bozena Michniak, & Gary P. Moss. (2005). Discriminant analysis as a tool to identify compounds with potential as transdermal enhancers. Journal of Pharmacy and Pharmacology. 57(11). 1389–1396. 17 indexed citations
6.
Rosado, Catarina, Sheree E. Cross, W. Pugh, Michael S. Roberts, & Jonathan Hadgraft. (2003). Effect of Vehicle Pretreatment on the Flux, Retention, and Diffusion of Topically Applied Penetrants in Vitro. Pharmaceutical Research. 20(9). 1502–1507. 38 indexed citations
7.
Plessis, Jeanetta du, et al.. (2002). Physico-chemical determinants of dermal drug delivery: effects of the number and substitution pattern of polar groups. European Journal of Pharmaceutical Sciences. 16(3). 107–112. 33 indexed citations
8.
Plessis, Jeanetta du, et al.. (2002). The effect of the nature of H-bonding groups on diffusion through PDMS membranes saturated with octanol and toluene. European Journal of Pharmaceutical Sciences. 15(1). 63–69. 24 indexed citations
9.
Plessis, Jeanetta du, et al.. (2001). The effect of hydrogen bonding on diffusion across model membranes: consideration of the number of H-bonding groups. European Journal of Pharmaceutical Sciences. 13(2). 135–141. 26 indexed citations
10.
Pugh, W.. (2001). Relationship between H-bonding of penetrants to stratum corneum lipids and diffusion. Journal of Toxicology Cutaneous and Ocular Toxicology. 20(2-3). 303–317. 2 indexed citations
11.
Pugh, W., İsmail Tuncer Değim, & Jonathan Hadgraft. (2000). Epidermal permeability–penetrant structure relationships: 4, QSAR of permeant diffusion across human stratum corneum in terms of molecular weight, H-bonding and electronic charge. International Journal of Pharmaceutics. 197(1-2). 203–211. 78 indexed citations
12.
Pugh, W., et al.. (1999). Receptor Regulatory Properties Evident in the Molecular Similarity of β‐Adrenergic Receptor Ligands and Adenosine Triphosphate. Pharmacy and Pharmacology Communications. 5(9). 545–553. 1 indexed citations
13.
Badwan, Adnan A., Kenneth James, & W. Pugh. (1980). Preparation and characterisation of the C10 to C18 even‐numbered triethanolamine alkyl sulphates. International Journal of Cosmetic Science. 2(1). 39–44. 4 indexed citations
14.
Bulman, O. M. B., et al.. (1958). GEO volume 95 issue 5 Cover and Front matter. Geological Magazine. 95(5). f1–f7. 1 indexed citations
15.
Bulman, O. M. B., et al.. (1954). GEO volume 91 issue 2 Cover and Front matter. Geological Magazine. 91(2). f1–f8. 1 indexed citations
16.
Pugh, W.. (1953). 691. Hydrazine. Part VI. Salts of dimethyl ketazine and certain hydrazones. The halogeno-antimonites and -bismuthites. Journal of the Chemical Society (Resumed). 3445–3445. 3 indexed citations
17.
Bulman, O. M. B., et al.. (1952). GEO volume 89 issue 1 Cover and Front matter. Geological Magazine. 89(1). f1–f8. 1 indexed citations
18.
Bulman, O. M. B., et al.. (1951). GEO volume 88 issue 6 Cover and Front matter. Geological Magazine. 88(6). f1–f8. 1 indexed citations
19.
Bulman, O. M. B., et al.. (1951). GEO volume 88 issue 3 Cover and Front matter. Geological Magazine. 88(3). f1–f8. 1 indexed citations
20.
Bulman, O. M. B., et al.. (1951). GEO volume 88 issue 4 Cover and Front matter. Geological Magazine. 88(4). f1–f8. 1 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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