Loïc Laplanche

485 citations
14 papers · 174 · h-index 10

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Drug Transport and Resistance Mechanisms

Papers in

Loïc Laplanche

12 papers receiving 169 citations

Peers

Loïc Laplanche
Comparison fields: 5 of 62
  • Pharmacology 27
  • Oncology 65
  • Pediatrics, Perinatology and Child Health 41
  • Computational Theory and Mathematics 26
  • Transplantation 4
Replace Karen Owens with:
Karen Owens United States
Alain Matthey Switzerland
Nandini C. Patel United States
Jeffry C. Granados United States
Shane Roller United States
Magnus Ölander Sweden
Tamara J. van Steeg Netherlands
Pei-Chieng Cha Japan
Carina Cantrill Switzerland
Min-Hwa Jasmine Lin United States
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Citations per field
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Citations per year

Countries citing papers authored by Loïc Laplanche

Since Specialization
Citations

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

Fields of papers citing papers by Loïc Laplanche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201430
2 201429
3 201819
4 202014
5 200014
6 202114
7 201412
8 202212
9 201811
10 202011
11 20234
12 20033
13 20251
14 20150

About Loïc Laplanche

Loïc Laplanche is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Pharmacology and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 174 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Pharmacological Effects and Toxicity Studies (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Ion channel regulation and function (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Drug Solubulity and Delivery Systems (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Pharmacology (27 citations), Oncology (65 citations), Pediatrics, Perinatology and Child Health (41 citations), Computational Theory and Mathematics (26 citations) and Transplantation (4 citations). Loïc Laplanche has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Mario Mezler, J.M. Kamenka, Jens Sydor, G. Barbanel, Yasuo Uchida, Masanori Tachikawa, Erica Barini, Yutaro Hoshi, Gert Fricker and Tetsuya Terasaki. Their work appears in journals such as Pharmaceutical Research, mAbs, CPT Pharmacometrics & Systems Pharmacology, Bioorganic & Medicinal Chemistry Letters and Toxicology Letters.

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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