Ariane Mallat

13.3k citations
123 papers · 7.5k indexed · 2 hit papers · h-index 46

Ariane Mallat

121 papers receiving 7.3k citations

Hit Papers

M2 Kupffer cells promote M1 Kupffer cell apoptosis: A pro...4522008202620142020100200300400500

Peers

Ariane Mallat
Comparison fields: 5 of 126
  • Hepatology 3.2k
  • Pharmacology 1.7k
  • Epidemiology 3.3k
  • Endocrinology, Diabetes and Metabolism 873
  • Pharmacology 409
Replace Philippe Gual with:
Philippe Gual France
Fiona Oakley United Kingdom
Francisca Rivera Spain
Marco Marzioni Italy
Dechun Feng United States
Dina Tiniakos Greece
Yutaka Kawahito Japan
Yoshiya Ito Japan
Jerzy Stachura Poland
Toshiji Saibara Japan
Ariane Mallat relative to Philippe Gual France Philippe Gual's profile →
Citations per field
00.5×4.8×
Philippe Gual · 1×
Citations per year

Countries citing papers authored by Ariane Mallat

Since Specialization
Citations

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

Fields of papers citing papers by Ariane Mallat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202143
2 201840
3 201480
4 201395
5
Liver Cirrhosis: Intravoxel Incoherent Motion MR Imaging—Pilot Studybreakdown →
2008526
6 20071
7 2007138
8 200792
9 20063
10 2005382
11 200369
12 200274
13 199950
14 199884
15 199686
16 199510
17
Hépatites chroniques et cirrhoses d'origine médicamenteuse.
19931
18 19902
19 19904
20 198819

About Ariane Mallat

Ariane Mallat is a scholar working on Hepatology, Pharmacology and Epidemiology, having authored 123 papers that have together received 7.5k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (46 papers), Cannabis and Cannabinoid Research (25 papers), Liver physiology and pathology (22 papers), Diet, Metabolism, and Disease (18 papers), Pancreatic function and diabetes (17 papers), Alcohol Consumption and Health Effects (16 papers), Hepatitis C virus research (16 papers) and Liver Disease and Transplantation (13 papers). The work is most often cited by research in Hepatology (3.2k citations), Pharmacology (1.7k citations) and Epidemiology (3.3k citations). Ariane Mallat has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Sophie Lotersztajn, Fatima Teixeira-Clerc, Jeanne Tran Van Nhieu, Liying Li, Boris Julien, Pascale Grenard, Daniel Dhumeaux, Philippe Mavier, Vanessa Deveaux and Catherine Pavoine. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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