Ph. Coassolo

494 citations
13 papers · 413 indexed · h-index 9

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection
  • Toxicology top 5%
    • Forensic Toxicology and Drug Analysis

Papers in

Ph. Coassolo

13 papers receiving 378 citations

Peers

Ph. Coassolo
Comparison fields: 5 of 69
  • Pharmacology 218
  • Toxicology 39
  • Computational Theory and Mathematics 97
  • Oncology 132
  • Spectroscopy 70
Replace Ruby C. Chou with:
Ruby C. Chou Switzerland
Sylvie Dupin France
K. Grime United Kingdom
Andrew P. Blanchard United States
Jennifer E. Sager United States
Denis Projean Canada
Manisha Iyer United States
Angela Wolford United States
Thomas S. McDonald United States
Katsuhiro Ohyama Japan
Ph. Coassolo relative to Ruby C. Chou Switzerland Ruby C. Chou's profile →
Citations per field
00.5×1.5×2.1×
Ruby C. Chou · 1×
Citations per year

Countries citing papers authored by Ph. Coassolo

Since Specialization
Citations

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

Fields of papers citing papers by Ph. Coassolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 16 scholars most cited alongside Ph. Coassolo, 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 Ph. Coassolo Line = papers co-authored together Ph. Coassolo links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1997141
2 199788
3 199634
4 19969
5 199541
6 19952
7 19937
8 19899
9 19846
10 198317
11 19836
12 198228
13 198225

About Ph. Coassolo

Ph. Coassolo is a scholar working on Pharmacology, Analytical Chemistry, Toxicology, Oncology and Biochemistry, having authored 13 papers that have together received 413 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (5 papers), Drug Transport and Resistance Mechanisms (4 papers), Analytical Methods in Pharmaceuticals (4 papers), Epilepsy research and treatment (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Renin-Angiotensin System Studies (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Pharmacology (218 citations), Toxicology (39 citations), Computational Theory and Mathematics (97 citations), Oncology (132 citations) and Spectroscopy (70 citations). Ph. Coassolo has collaborated with scholars based in Switzerland and France. Frequent co-authors include D Jaeck, Christophe Schmitt, Ruby C. Chou, Sylvie Dupin, J. P. Cano, C. Aubert, G. Ubeaud, Thierry Lavé, J P Sommadossi and Monique Schmitt. Their work appears in journals such as Xenobiotica, Analytical Letters, Journal of Pharmaceutical Sciences, Pharmaceutical Research and Journal of Mass Spectrometry.

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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