Emmanuelle Vallez

2.1k citations
29 papers · 1000 · h-index 17

Impact in

Papers in

    • Liver Disease Diagnosis and Treatment 11
    • Peroxisome Proliferator-Activated Receptors 8
    • Retinoids in leukemia and cellular processes 3

Emmanuelle Vallez

27 papers receiving 987 citations

Peers

Emmanuelle Vallez
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 252
  • Physiology 259
  • Biological Psychiatry 24
  • Epidemiology 308
  • Neurology 63
Replace Hitoshi Minakuchi with:
Hitoshi Minakuchi Japan
Ryan D. Sheldon United States
Miyuki Yano Japan
Kun Zhou China
Joshua E. Basford United States
M Jáchymová Czechia
Sayeepriyadarshini Anakk United States
Klaus Kusterer Germany
Erfei Song Hong Kong
Mitchel Tate Australia
Emmanuelle Vallez relative to Hitoshi Minakuchi Japan Hitoshi Minakuchi's profile →
Citations per field
00.5×1.5×1.9×
Hitoshi Minakuchi · 1×
Citations per year

Countries citing papers authored by Emmanuelle Vallez

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuelle Vallez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010122
2 2016110
3 201280
4 201779
5 200966
6 201663
7 200962
8 201160
9 202057
10 201752
11 202048
12 201434
13 201933
14 201120
15 201719
16 201918
17 202316
18 202214
19 201714
20 20157

About Emmanuelle Vallez

Emmanuelle Vallez is a scholar working on Epidemiology, Molecular Biology, Oncology, Physiology and Surgery, having authored 29 papers that have together received 1000 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Drug Transport and Resistance Mechanisms (9 papers), Peroxisome Proliferator-Activated Receptors (8 papers), Adipose Tissue and Metabolism (5 papers), Cancer, Lipids, and Metabolism (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Retinoids in leukemia and cellular processes (3 papers) and Lipid metabolism and disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (252 citations), Physiology (259 citations), Biological Psychiatry (24 citations), Epidemiology (308 citations) and Neurology (63 citations). Emmanuelle Vallez has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Bart Staels, Anne Tailleux, Sophie Lestavel, Sandrine Caron, Fanny Lalloyer, Jonathan Vanhoutte, Philippe Lefèbvre, Kadiombo Bantubungi, Nathalie Hennuyer and Joel T. Haas. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Atherosclerosis, Scientific Reports, Diabetes and International Journal of 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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