L. Leone

19 papers receiving 324 citations

Peers

L. Leone
Comparison fields: 5 of 108
  • Modeling and Simulation 45
  • Pharmacology 135
  • Molecular Medicine 38
  • Analytical Chemistry 45
  • Statistics and Probability 29
Replace Víctor Mangas‐Sanjuán with:
Víctor Mangas‐Sanjuán Spain
Kenny J. Watson United States
Panos Macheras Greece
Constantin Efthymiopoulos United Kingdom
Serge Guzy United States
Yukiko Nakajima Japan
Mirjam N. Trame United States
Benoît Beck Belgium
Tai Ning Lam Hong Kong
Ricardo Nalda‐Molina Spain
L. Leone relative to Víctor Mangas‐Sanjuán Spain Víctor Mangas‐Sanjuán's profile →
Citations per field
00.5×7.6×
Víctor Mangas‐Sanjuán · 1×
Citations per year

Countries citing papers authored by L. Leone

Since Specialization
Citations

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

Fields of papers citing papers by L. Leone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200070
2 198353
3 200527
4 199826
5 200123
6 199523
7 199823
8 198718
9 200316
10 199815
11 199912
12
Effect of flurithromycin, a new macrolide antibiotic, on carbamazepine disposition in normal subjects.
198812
13 19997
14 19976
15 19956
16 19976
17 19924
18
Monitoring of licit psychoactive drug abuse trends in italy
19861
19 19901
20
A Bayesian approach to drug disposition evaluation: application to teicoplanin.
19951

About L. Leone

L. Leone is a scholar working on Pharmacology, Molecular Biology, Analytical Chemistry, Epidemiology and Psychiatry and Mental health, having authored 22 papers that have together received 350 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (9 papers), Analytical Methods in Pharmaceuticals (4 papers), Epilepsy research and treatment (4 papers), Pharmacological Effects and Toxicity Studies (2 papers), Statistical Methods and Bayesian Inference (2 papers), Analytical Chemistry and Chromatography (2 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Modeling and Simulation (45 citations), Pharmacology (135 citations), Molecular Medicine (38 citations), Analytical Chemistry (45 citations) and Statistics and Probability (29 citations). L. Leone has collaborated with scholars based in Italy and Germany. Frequent co-authors include Stefano Bompadre, Luigi Ferrante, L Possati, Mario Eandi, E Genazzani, I Viano, Massimo De Martinis, Maria Pia Montanari, Maurizio Battino and Pedro Bullón. Their work appears in journals such as Journal of Liquid Chromatography & Related Technologies, Pharmacological Research, British Journal of Clinical Pharmacology, Biometrical Journal and Journal of Chromatography A.

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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