David G. May

425 citations
16 papers · 325 · h-index 10

Impact in

Papers in

David G. May

16 papers receiving 309 citations

Peers

David G. May
Comparison fields: 5 of 85
  • Pharmacology 105
  • Anesthesiology and Pain Medicine 25
  • Pharmacology 55
  • Pediatrics, Perinatology and Child Health 53
  • Developmental Neuroscience 11
Replace Michael N. Hartnett with:
Michael N. Hartnett United States
J. Moppert Switzerland
Rosario Calvo Spain
Julie A. Johnson United States
S. G. Shin South Korea
Tatsuji Iga Japan
Berry J. Kline United States
Asami Mori Japan
Hugo Girard Canada
K. Frislid Norway
David G. May relative to Michael N. Hartnett United States Michael N. Hartnett's profile →
Citations per field
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Michael N. Hartnett · 1×
Citations per year

Countries citing papers authored by David G. May

Since Specialization
Citations

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

Fields of papers citing papers by David G. May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 199060
2 199445
3 199045
4 199235
5
Reappraisal of lytic cocktail/demerol, phenergan, and thorazine (DPT) for the sedation of children
199529
6 196717
7 199216
8 197015
9 197515
10 197211
11 19719
12 19888
13 19877
14
Neurolepticlike actions of l-methadone: effect on mescaline-induced altered behavior and on tissue levels of mescaline in mice.
19797
15 19684
16 20202

About David G. May

David G. May is a scholar working on Pharmacology, Molecular Biology, Epidemiology, Pediatrics, Perinatology and Child Health and Oncology, having authored 16 papers that have together received 325 indexed citations. Recurring topics across this work include Pharmacological Effects and Toxicity Studies (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Pesticide Exposure and Toxicity (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Pharmacology (105 citations), Anesthesiology and Pain Medicine (25 citations), Pharmacology (55 citations), Pediatrics, Perinatology and Child Health (53 citations) and Developmental Neuroscience (11 citations). David G. May has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Robert A. Branch, James A. Porter, G. Wilkinson, Jack Uetrecht, James M. Fujimoto, Peter B. Corr, Charles E. Inturrisi, I. M. Weiner, Mary Ellen Csuka and S. Bobo Tanner. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Clinical Pharmacology & Therapeutics, The Journal of Clinical Pharmacology, Antimicrobial Agents and Chemotherapy and European Journal of Pharmacology.

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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