D.G. Perrier

44 papers receiving 1.3k citations

Peers

D.G. Perrier
Comparison fields: 5 of 127
  • Pharmaceutical Science 221
  • Biomaterials 220
  • Equine 25
  • Pharmacology 218
  • Pharmacology 102
Replace F. Douglas Boudinot with:
F. Douglas Boudinot United States
Lynda R. Wiseman New Zealand
F.C. Lam New Zealand
Raymond E. Galinsky United States
Claus Larsen Denmark
Armand M. Frydman France
Alfred P. Tonelli United States
Jai Moo Shin United States
Don K. Walker United Kingdom
Ryoko Yumoto Japan
D.G. Perrier relative to F. Douglas Boudinot United States F. Douglas Boudinot's profile →
Citations per field
00.5×2×4×5.1×
F. Douglas Boudinot · 1×
Citations per year

Countries citing papers authored by D.G. Perrier

Since Specialization
Citations

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

Fields of papers citing papers by D.G. Perrier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D.G. Perrier, 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.G. Perrier Line = papers co-authored together D.G. Perrier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985295
2 198484
3 198884
4 198670
5 197966
6 198764
7 198962
8 197859
9
Methotrexate: bioavailability and pharmacokinetics.
198544
10 197743
11 198642
12 198741
13 198536
14 197831
15 197827
16 198726
17 197625
18 199624
19 198823
20 198622

About D.G. Perrier

D.G. Perrier is a scholar working on Pharmaceutical Science, Analytical Chemistry, Pharmacology, Cardiology and Cardiovascular Medicine and Spectroscopy, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Analytical Methods in Pharmaceuticals (7 papers), Analytical Chemistry and Chromatography (6 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Advanced Drug Delivery Systems (5 papers), Protein Interaction Studies and Fluorescence Analysis (5 papers), Cancer Treatment and Pharmacology (4 papers), Pharmaceutical studies and practices (4 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Pharmaceutical Science (221 citations), Biomaterials (220 citations), Equine (25 citations), Pharmacology (218 citations) and Pharmacology (102 citations). D.G. Perrier has collaborated with scholars based in United States, New Zealand and Canada. Frequent co-authors include Chi Tim Hung, F.C. Lam, Pramod Gupta, Michael Mayersohn, James M. Gallo, Larry J. Schaaf, David Samuel Alberts, Gregory M. Marcus, Ivor Ralph Edwards and Thomas E. Moon. Their work appears in journals such as European Journal of Clinical Pharmacology, International Journal of Pharmaceutics, Journal of Pharmaceutical Sciences, Journal of Pharmacology and Experimental Therapeutics and Circulation.

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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