D.M. Bagley

890 citations
16 papers · 476 · h-index 13

Impact in

Papers in

D.M. Bagley

16 papers receiving 426 citations

Peers

D.M. Bagley
Comparison fields: 5 of 72
  • Small Animals 290
  • Chemical Health and Safety 14
  • Pharmaceutical Science 44
  • Dermatology 41
  • Computational Theory and Mathematics 73
Replace U. Pfannenbecker with:
U. Pfannenbecker Germany
Jalila Hibatallah France
O. de Silva France
L.K. Earl United Kingdom
Thomas Cole Italy
Irene Manou Germany
David Basketter United Kingdom
Martina Klarić Belgium
José Cotovio France
Kristie Sullivan United States
D.M. Bagley relative to U. Pfannenbecker Germany U. Pfannenbecker's profile →
Citations per field
00.5×1.5×
U. Pfannenbecker · 1×
Citations per year

Countries citing papers authored by D.M. Bagley

Since Specialization
Citations

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

Fields of papers citing papers by D.M. Bagley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.M. Bagley. 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 D.M. Bagley. The network helps show where D.M. Bagley may publish in the future.

Co-authors

The 25 scholars most cited alongside D.M. Bagley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D.M. Bagley Line = papers co-authored together D.M. Bagley links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1992124
2
Clinical evidence for the lack of triclosan accumulation from daily use in dentifrices.
200053
3 199643
4 199242
5 199734
6 199927
7 201927
8 199425
9
The CTFA evaluation of alternatives program: an evaluation of In vitro alternatives to the draize primary eye irritation test (phase I) hydro-alcoholic formulations; a preliminary communication
199021
10 201920
11 198320
12 199918
13 200312
14 20205
15
Safety profile of Colgate Platinum Professional Toothwhitening System.
19943
16 20212

About D.M. Bagley

D.M. Bagley is a scholar working on Small Animals, Biomedical Engineering, Economics and Econometrics, Surgery and Pharmaceutical Science, having authored 16 papers that have together received 476 indexed citations. Recurring topics across this work include Animal testing and alternatives (13 papers), Veterinary Pharmacology and Anesthesia (5 papers), 3D Printing in Biomedical Research (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Vitamin K Research Studies (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Small Animals (290 citations), Chemical Health and Safety (14 citations), Pharmaceutical Science (44 citations), Dermatology (41 citations) and Computational Theory and Mathematics (73 citations). D.M. Bagley has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include A.P. Walker, Richard W. Lewis, Reinhard Kreiling, Philip A. Botham, Johnnie R. Hayes, O. de Silva, Dale J. Waters, John W. Harbell, Katherine O’Brien and Leon H. Bruner. Their work appears in journals such as Toxicology in Vitro, Food and Chemical Toxicology, Biochemical and Biophysical Research Communications, Toxicology Letters and PubMed.

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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