Marie‐Anne Loriot

8.6k citations
159 papers · 5.8k · h-index 44

Impact in

Papers in

    • Pharmacogenetics and Drug Metabolism 41
    • Drug Transport and Resistance Mechanisms 17

Marie‐Anne Loriot

150 papers receiving 5.6k citations

Peers

Marie‐Anne Loriot
Comparison fields: 5 of 131
  • Transplantation 447
  • Pharmacology 1.2k
  • Hepatology 1.0k
  • Oncology 1.3k
  • Pediatrics, Perinatology and Child Health 743
Replace J Domergue with:
J Domergue France
Elke Schaeffeler Germany
Christian P. Strassburg Germany
Jean‐Michel Fabre France
Hamid Rabb United States
Jean Gugenheim France
Frederick J. Suchy United States
Andreas Geier Germany
Gert Mayer Austria
Carla Zoja Italy
Marie‐Anne Loriot relative to J Domergue France J Domergue's profile →
Citations per field
00.5×10×14.6×
J Domergue · 1×
Citations per year

Countries citing papers authored by Marie‐Anne Loriot

Since Specialization
Citations

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

Fields of papers citing papers by Marie‐Anne Loriot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie‐Anne Loriot. 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 Marie‐Anne Loriot. The network helps show where Marie‐Anne Loriot may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999344
2 2010282
3 2004198
4 2006185
5 1993184
6 2006166
7 1994151
8 2009137
9 2010131
10 2011126
11 2016106
12 2007102
13 199299
14 201096
15 200995
16 199890
17 199788
18 201287
19 200786
20 201285

About Marie‐Anne Loriot

Marie‐Anne Loriot is a scholar working on Pharmacology, Oncology, Molecular Biology, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 159 papers that have together received 5.8k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (41 papers), Hepatitis B Virus Studies (22 papers), Hepatitis C virus research (19 papers), Drug Transport and Resistance Mechanisms (17 papers), Acute Lymphoblastic Leukemia research (14 papers), Pharmacological Effects and Toxicity Studies (13 papers), Renal Transplantation Outcomes and Treatments (13 papers) and Liver Disease Diagnosis and Treatment (11 papers). The work is most often cited by research in Transplantation (447 citations), Pharmacology (1.2k citations), Hepatology (1.0k citations), Oncology (1.3k citations) and Pediatrics, Perinatology and Child Health (743 citations). Marie‐Anne Loriot has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Philippe Beaune, Pierre Laurent‐Puig, Patrick Marcellin, Claude Degott, Céline Narjoz, Fabien Dutheil, Jean‐Pierre Benhamou, Serge Erlinger, Michèle Martinot‐Peignoux and Thierry Lecomte. Their work appears in journals such as Hepatology, European Journal of Clinical Pharmacology, Clinical Pharmacology & Therapeutics, Pharmacogenomics and Journal of Hepatology.

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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