P. Lesca

2.0k citations
68 papers · 1.8k · h-index 24

Impact in

Papers in

    • Cancer therapeutics and mechanisms 18
    • Drug Transport and Resistance Mechanisms 15
    • Cancer Treatment and Pharmacology 13

P. Lesca

67 papers receiving 1.7k citations

Peers

P. Lesca
Comparison fields: 5 of 98
  • Pharmacology 704
  • Health, Toxicology and Mutagenesis 435
  • Cancer Research 391
  • Oncology 434
  • Biochemistry 79
Replace Marilyn C. Henderson with:
Marilyn C. Henderson United States
Walter Meinl Germany
Hira L. Gurtoo United States
Wattenberg Lw United States
Lesley A. Stanley United Kingdom
Tadashi Ogiso Japan
Naok̆i Ozawa Japan
Kenichiro Ogura Japan
Ronald J. Lorentzen United States
Herman A.J. Schut United States
P. Lesca relative to Marilyn C. Henderson United States Marilyn C. Henderson's profile →
Citations per field
00.5×2.8×
Marilyn C. Henderson · 1×
Citations per year

Countries citing papers authored by P. Lesca

Since Specialization
Citations

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

Fields of papers citing papers by P. Lesca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983155
2 1994135
3 1992118
4 197875
5 199575
6 197971
7 199767
8 199663
9 199759
10 200458
11 199456
12 199252
13 198243
14 199942
15 198738
16 197734
17 197933
18 196930
19 198230
20 198030

About P. Lesca

P. Lesca is a scholar working on Molecular Biology, Oncology, Pharmacology, Health, Toxicology and Mutagenesis and Cancer Research, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (23 papers), Cancer therapeutics and mechanisms (18 papers), Drug Transport and Resistance Mechanisms (15 papers), Cancer Treatment and Pharmacology (13 papers), Carcinogens and Genotoxicity Assessment (12 papers), Toxic Organic Pollutants Impact (10 papers), Effects and risks of endocrine disrupting chemicals (9 papers) and Drug-Induced Hepatotoxicity and Protection (6 papers). The work is most often cited by research in Pharmacology (704 citations), Health, Toxicology and Mutagenesis (435 citations), Cancer Research (391 citations), Oncology (434 citations) and Biochemistry (79 citations). P. Lesca has collaborated with scholars based in France, Morocco and China. Frequent co-authors include P. Lecointe, Claude Paoletti, Daniel Mansuy, Patrick Maurel, G Fourtanier, J Domergue, P. Galtier, G. Larrieu, Roger Rahmani and C. Delescluse. Their work appears in journals such as Chemico-Biological Interactions, Biochemical Pharmacology, Biochemical and Biophysical Research Communications, Archives of Biochemistry and Biophysics and Carcinogenesis.

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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