G Lévy

1.8k citations
60 papers · 1.4k indexed · h-index 22

G Lévy

58 papers receiving 1.3k citations

Peers

G Lévy
Comparison fields: 5 of 124
  • Pharmacology 297
  • Pediatrics, Perinatology and Child Health 249
  • Pharmaceutical Science 69
  • Obstetrics and Gynecology 83
  • Pharmacology 139
Replace Hirotami Matsuo with:
Hirotami Matsuo Japan
Donald Jung United States
Malcolm D. Tingle New Zealand
W. Roy Slaunwhite United States
Francis R. Simon United States
Anthony Lee United States
Yutaka Kikkawa United States
K. V. Speeg United States
W. Kuhnz Germany
H. Breuer Germany
G Lévy relative to Hirotami Matsuo Japan Hirotami Matsuo's profile →
Citations per field
00.5×1.5×
Hirotami Matsuo · 1×
Citations per year

Countries citing papers authored by G Lévy

Since Specialization
Citations

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

Fields of papers citing papers by G Lévy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201541
2 201121
3 200922
4
Composition of Australian red meat 2002. 3. Nutrient profile
200725
5
Composition of Australian red meat 2002. 1. Gross composition
20063
6
Composition of Australian red meat 2002. 2. Fatty acid profile
200626
7 200175
8 200119
9 199622
10 19941
11 19937
12 199014
13 19884
14 19888
15 198729
16 19876
17 19847
18
Pharmacokinetics of fetal and neonatal exposure to drugs.
198123
19 19809
20 197610

About G Lévy

G Lévy is a scholar working on Pharmacology, Pediatrics, Perinatology and Child Health and Biochemistry, having authored 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (14 papers), Pharmacological Effects and Toxicity Studies (10 papers), Drug-Induced Hepatotoxicity and Protection (6 papers), Epilepsy research and treatment (5 papers), Diet and metabolism studies (4 papers), Electrolyte and hormonal disorders (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Chemical Reactions and Isotopes (3 papers). The work is most often cited by research in Pharmacology (297 citations), Pediatrics, Perinatology and Child Health (249 citations) and Pharmaceutical Science (69 citations). G Lévy has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Raymond E. Galinsky, Iqbal Ramzan, M. Gibaldi, Amnon Hoffman, Meindert Danhof, Gad Degani, M. Guillaume Wientjes, Peter Williams, Ruby C. Chou and Shigeharu Oie. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Pharmaceutical Sciences, Experimental Biology and Medicine, IEEE Journal of Quantum Electronics and Advances in experimental medicine and biology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026