G Lévy

1.8k citations
59 papers · 1.4k · h-index 22

Impact in

Papers in

G Lévy

57 papers receiving 1.3k citations

Peers

G Lévy
Comparison fields: 5 of 121
  • Pharmacology 288
  • Pediatrics, Perinatology and Child Health 216
  • Pharmaceutical Science 65
  • Pharmacology 127
  • Physiology 36
Replace K.‐Fr. Sewing with:
K.‐Fr. Sewing Germany
F. M. Belpaire Belgium
Harvey M. Solomon United States
Donald Jung United States
Erlio Gurpide United States
Lena Gustavsson Sweden
James G. Baxter United States
Hirotami Matsuo Japan
Malcolm D. Tingle New Zealand
Kenzo Takagi Japan
G Lévy relative to K.‐Fr. Sewing Germany K.‐Fr. Sewing's profile →
Citations per field
00.5×3.1×
K.‐Fr. Sewing · 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-authors

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

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994266
2 198197
3 200591
4 200175
5 198573
6 201545
7 197645
8 197244
9 197938
10
Inhibition of diphenylhydantoin elimination by its major metabolite.
197237
11
Sulfate conjugation in drug metabolism: role of inorganic sulfate.
198636
12 198729
13 198829
14
Composition of Australian red meat 2002. 2. Fatty acid profile
200626
15
Composition of Australian red meat 2002. 3. Nutrient profile
200725
16 198925
17
Assessment of biotransformation during transfer of propoxyphene and acetaminophen across the isolated perfused human placenta.
198425
18
Pharmacokinetics of fetal and neonatal exposure to drugs.
198123
19 199622
20 200922

About G Lévy

G Lévy is a scholar working on Pharmacology, Pediatrics, Perinatology and Child Health, Molecular Biology, Pharmacology and Surgery, having authored 59 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), Neuroscience and Neuropharmacology Research (4 papers), Electrolyte and hormonal disorders (4 papers), Diet and metabolism studies (4 papers) and Pharmaceutical studies and practices (3 papers). The work is most often cited by research in Pharmacology (288 citations), Pediatrics, Perinatology and Child Health (216 citations), Pharmaceutical Science (65 citations), Pharmacology (127 citations) and Physiology (36 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, Ruby C. Chou, Masato Yasuhara and Peter Williams. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Experimental Biology and Medicine, IEEE Journal of Quantum Electronics, Journal of Pharmaceutical Sciences and American Journal of Physiology-Legacy Content.

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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