Frédéric Texier

1.1k citations
11 papers · 723 · 1 hit paper · h-index 5

Impact in

Papers in

Frédéric Texier

10 papers receiving 693 citations

Frédéric Texier's Hit Papers

The Lille model: A new tool for therapeutic strategy in patients with severe alcoholic hepatitis treated with steroids 2007 · 515 citations
5150+6+12Years since publication100200300400500

Peers

Frédéric Texier
Comparison fields: 5 of 42
  • Hepatology 265
  • Pathology and Forensic Medicine 539
  • Epidemiology 467
  • Endocrinology, Diabetes and Metabolism 173
  • Pharmacology 25
Replace Nicolas Carbonell with:
Nicolas Carbonell France
Odile Goria France
Abdeslam Bental France
Gro Askgaard Denmark
G. Occhino Italy
Kapil Dev Jamwal India
Mauro Maurantonio Italy
Ylse Gutiérrez-Grobe Mexico
Kim Pfotenhauer United States
Joan Carles Quer Spain
Frédéric Texier relative to Nicolas Carbonell France Nicolas Carbonell's profile →
Citations per field
00.5×1.5×1.9×
Nicolas Carbonell · 1×
Citations per year

Countries citing papers authored by Frédéric Texier

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Texier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
The Lille model: A new tool for therapeutic strategy in patients with severe alcoholic hepatitis treated with steroids
Hit paper breakdown →
2007515
2 2007126
3 200457
4 20039
5 20066
6 20044
7 20042
8
[Secondary hyponatremia caused by omeprazole treatment].
20002
9 20181
10 20171
11 20060

About Frédéric Texier

Frédéric Texier is a scholar working on Pathology and Forensic Medicine, Hepatology, Molecular Biology, Epidemiology and Hematology, having authored 11 papers that have together received 723 indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (4 papers), Liver Disease Diagnosis and Treatment (2 papers), Potassium and Related Disorders (1 paper), Case Reports on Hematomas (1 paper), Acute Lymphoblastic Leukemia research (1 paper), Liver Diseases and Immunity (1 paper), Liver Disease and Transplantation (1 paper) and Genetic and Kidney Cyst Diseases (1 paper). The work is most often cited by research in Hepatology (265 citations), Pathology and Forensic Medicine (539 citations), Epidemiology (467 citations), Endocrinology, Diabetes and Metabolism (173 citations) and Pharmacology (25 citations). Frédéric Texier has collaborated with scholars based in France and Belgium. Frequent co-authors include Philippe Mathurin, Sébastien Dharancy, Pierre Deltenre, Alexandre Louvet, V. Canva, Emmanuel Diaz, François‐René Pruvot, Lætitia Fartoux, Emmanuel Boleslawski and Sylvie Naveau. Their work appears in journals such as Journal of Hepatology, Hepatology, Gastroenterology, Digestive Diseases and Sciences and PubMed.

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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