Vanessa Legry

1.5k citations
25 papers · 977 · h-index 13

Impact in

Papers in

    • Liver Disease Diagnosis and Treatment 7
    • Diet and metabolism studies 3
    • Adipose Tissue and Metabolism 3
    • Biochemical effects in animals 2

Vanessa Legry

24 papers receiving 963 citations

Peers

Vanessa Legry
Comparison fields: 5 of 74
  • Hepatology 298
  • Epidemiology 298
  • Biochemistry 52
  • Endocrinology, Diabetes and Metabolism 108
  • Surgery 264
Replace Suzanne Duijst with:
Suzanne Duijst Netherlands
Shunichi Matsuoka Japan
Yanhang Gao China
Takaharu Yoh Japan
Laure‐Alix Clerbaux Belgium
Teruhiro Nishiura United States
Katsuyoshi Shimamura Japan
Weijian Huang China
Tianyi Ren China
William L. Blake United States
Vanessa Legry relative to Suzanne Duijst Netherlands Suzanne Duijst's profile →
Citations per field
00.5×2.9×
Suzanne Duijst · 1×
Citations per year

Countries citing papers authored by Vanessa Legry

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa Legry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012284
2 2010160
3 201388
4 201780
5 200967
6 200960
7 202048
8 200930
9 201628
10 200828
11 201418
12 201118
13 201516
14 200912
15
Dietary lipids and NAFLD: suggestions for improved nutrition.
201112
16 20148
17 20118
18 20094
19
Are n-3 PUFA dietary recommendations met in in-hospital and school catering?
20112
20 20192

About Vanessa Legry

Vanessa Legry is a scholar working on Epidemiology, Physiology, Surgery, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 25 papers that have together received 977 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Diet and metabolism studies (3 papers), Fatty Acid Research and Health (3 papers), Liver physiology and pathology (3 papers), Adipose Tissue and Metabolism (3 papers), Nutritional Studies and Diet (2 papers), Cholesterol and Lipid Metabolism (2 papers) and Biochemical effects in animals (2 papers). The work is most often cited by research in Hepatology (298 citations), Epidemiology (298 citations), Biochemistry (52 citations), Endocrinology, Diabetes and Metabolism (108 citations) and Surgery (264 citations). Vanessa Legry has collaborated with scholars based in Belgium, France and Hungary. Frequent co-authors include Isabelle Leclercq, Olivier Molendi‐Coste, Noémi Van Hul, Regina Español‐Suñer, Frédéric P. Lemaigre, Patrick Jacquemin, Sabine Cordi, Younès Achouri, Rodolphe Carpentier and Philippe Amouyel. Their work appears in journals such as Journal of Hepatology, The Journal of Clinical Endocrinology & Metabolism, Clinical Science, Hepatology and Obesity.

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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