D.G. Perrier

44 papers receiving 1.2k citations

Peers

D.G. Perrier
Comparison fields: 5 of 125
  • Pharmaceutical Science 206
  • Biomaterials 207
  • Equine 24
  • Pharmacology 206
  • Toxicology 39
Replace F. Douglas Boudinot with:
F. Douglas Boudinot United States
Lynda R. Wiseman New Zealand
M. A. Campanero Spain
F.C. Lam New Zealand
William R. Ravis United States
Raymond E. Galinsky United States
Claus Larsen Denmark
Armand Frydman France
Jai Moo Shin United States
Alfred Tonelli United States
D.G. Perrier relative to F. Douglas Boudinot United States F. Douglas Boudinot's profile →
Citations per field
00.5×5.6×
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 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985287
2 198881
3 198473
4 198664
5 197961
6 198958
7 198756
8 197854
9 198740
10
Methotrexate: bioavailability and pharmacokinetics.
198537
11 197736
12 198636
13 198536
14 197829
15 198726
16 197824
17 197623
18 198823
19 198622
20 199620

About D.G. Perrier

D.G. Perrier is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pharmacology, Analytical Chemistry and Pharmaceutical Science, having authored 45 papers that have together received 1.3k indexed citations. Recurring topics across this work include Analytical Methods in Pharmaceuticals (7 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Analytical Chemistry and Chromatography (6 papers), Protein Interaction Studies and Fluorescence Analysis (5 papers), Advanced Drug Delivery Systems (5 papers), Pharmaceutical studies and practices (4 papers), Cancer Treatment and Pharmacology (4 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Pharmaceutical Science (206 citations), Biomaterials (207 citations), Equine (24 citations), Pharmacology (206 citations) and Toxicology (39 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 S. Alberts, I. Ralph Edwards, Gregory M. Marcus and Thomas E. Moon. Their work appears in journals such as European Journal of Clinical Pharmacology, Journal of Pharmaceutical Sciences, International Journal of Pharmaceutics, 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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