Armand Valsesia

13.0k total citations
44 papers, 1.9k citations indexed

About

Armand Valsesia is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Armand Valsesia has authored 44 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 19 papers in Physiology and 14 papers in Genetics. Recurrent topics in Armand Valsesia's work include Adipose Tissue and Metabolism (16 papers), Diet and metabolism studies (10 papers) and Adipokines, Inflammation, and Metabolic Diseases (7 papers). Armand Valsesia is often cited by papers focused on Adipose Tissue and Metabolism (16 papers), Diet and metabolism studies (10 papers) and Adipokines, Inflammation, and Metabolic Diseases (7 papers). Armand Valsesia collaborates with scholars based in Switzerland, Denmark and Netherlands. Armand Valsesia's co-authors include Wim H. M. Saris, Arne Astrup, Jörg Hager, Brian J. Stevenson, J. Beckmann, Andrew J.G. Simpson, Loı̈c Dayon, Robert L. Strausberg, R. David Hawkins and Christine Lo and has published in prestigious journals such as Nature Communications, Nature Genetics and Bioinformatics.

In The Last Decade

Armand Valsesia

44 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Armand Valsesia Switzerland 22 1.2k 368 337 321 232 44 1.9k
Akira Imaizumi Japan 22 924 0.8× 123 0.3× 289 0.9× 221 0.7× 244 1.1× 74 1.5k
Agnieszka Paziewska Poland 23 1.0k 0.9× 156 0.4× 355 1.1× 357 1.1× 276 1.2× 76 1.8k
Aparna Venkatraman United States 18 933 0.8× 164 0.4× 267 0.8× 260 0.8× 169 0.7× 31 2.1k
Smita Sihag United States 15 1.2k 1.0× 156 0.4× 576 1.7× 153 0.5× 274 1.2× 67 2.3k
Swneke D. Bailey Canada 20 935 0.8× 455 1.2× 133 0.4× 294 0.9× 153 0.7× 33 1.6k
Iván P. Uray United States 20 1.3k 1.2× 237 0.6× 404 1.2× 267 0.8× 434 1.9× 40 2.3k
Janusz H. Kabarowski United States 24 892 0.8× 115 0.3× 189 0.6× 102 0.3× 315 1.4× 38 2.0k
Wen‐Lung Ma Taiwan 23 839 0.7× 268 0.7× 110 0.3× 480 1.5× 326 1.4× 68 1.9k
William R. Lagor United States 25 1.1k 0.9× 429 1.2× 191 0.6× 175 0.5× 123 0.5× 57 2.0k
Yves Boie Canada 20 1.0k 0.9× 355 1.0× 553 1.6× 132 0.4× 171 0.7× 24 2.3k

Countries citing papers authored by Armand Valsesia

Since Specialization
Citations

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

Fields of papers citing papers by Armand Valsesia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Armand Valsesia

This figure shows the co-authorship network connecting the top 25 collaborators of Armand Valsesia. A scholar is included among the top collaborators of Armand Valsesia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Armand Valsesia. Armand Valsesia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Oghabian, Ali, Birgitta W. van der Kolk, Pekka Marttinen, et al.. (2023). Baseline gene expression in subcutaneous adipose tissue predicts diet-induced weight loss in individuals with obesity. PeerJ. 11. e15100–e15100. 2 indexed citations
2.
Valera‐Alberni, Miriam, Magali Joffraud, Jordi Capellades, et al.. (2021). Crosstalk between Drp1 phosphorylation sites during mitochondrial remodeling and their impact on metabolic adaptation. Cell Reports. 36(8). 109565–109565. 43 indexed citations
3.
Valsesia, Armand, Léonie Egli, Nabil Bosco, et al.. (2021). Clinical- and omics-based models of subclinical atherosclerosis in healthy Chinese adults: a cross-sectional exploratory study. American Journal of Clinical Nutrition. 114(5). 1752–1762. 2 indexed citations
4.
Ruffieux, Hélène, Jérôme Carayol, Mary‐Ellen Harper, et al.. (2020). A fully joint Bayesian quantitative trait locus mapping of human protein abundance in plasma. PLoS Computational Biology. 16(6). e1007882–e1007882. 10 indexed citations
5.
Christen, Stefan, Sofia Moco, Armand Valsesia, et al.. (2020). Augmented mitochondrial energy metabolism is an early response to chronic glucose stress in human pancreatic beta cells. Diabetologia. 63(12). 2628–2640. 25 indexed citations
6.
Vogelzangs, Nicole, Carla Kallen, Marleen M. J. van Greevenbroek, et al.. (2020). Metabolic profiling of tissue-specific insulin resistance in human obesity: results from the Diogenes study and the Maastricht Study. International Journal of Obesity. 44(6). 1376–1386. 48 indexed citations
7.
Bruderer, Roland, Jan Muntel, Sebastian Müller, et al.. (2019). Analysis of 1508 Plasma Samples by Capillary-Flow Data-Independent Acquisition Profiles Proteomics of Weight Loss and Maintenance. Molecular & Cellular Proteomics. 18(6). 1242–1254. 118 indexed citations
8.
Kolk, Birgitta W. van der, Marianthi Kalafati, Michiel Adriaens, et al.. (2019). Subcutaneous Adipose Tissue and Systemic Inflammation Are Associated With Peripheral but Not Hepatic Insulin Resistance in Humans. Diabetes. 68(12). 2247–2258. 45 indexed citations
9.
Ratajczak, Joanna, Magali Joffraud, José Luis Sánchez, et al.. (2019). Endogenous nicotinamide riboside metabolism protects against diet-induced liver damage. Nature Communications. 10(1). 4291–4291. 35 indexed citations
10.
Montastier, Émilie, Jörg Hager, Wim H. M. Saris, et al.. (2018). Plasma metabolites and lipids predict insulin sensitivity improvement in obese, nondiabetic individuals after a 2-phase dietary intervention. American Journal of Clinical Nutrition. 108(1). 13–23. 22 indexed citations
11.
Cominetti, Ornella, Antonio Núñez Galindo, John Corthésy, et al.. (2018). Obesity shows preserved plasma proteome in large independent clinical cohorts. Scientific Reports. 8(1). 16981–16981. 46 indexed citations
12.
Kolk, Birgitta W. van der, Nicole Vogelzangs, Johan W. E. Jocken, et al.. (2018). Plasma lipid profiling of tissue-specific insulin resistance in human obesity. International Journal of Obesity. 43(5). 989–998. 39 indexed citations
13.
Carayol, Jérôme, Christian Chabert, Alessandro Di Cara, et al.. (2017). Protein quantitative trait locus study in obesity during weight-loss identifies a leptin regulator. Nature Communications. 8(1). 2084–2084. 49 indexed citations
14.
Armenise, Claudia, Grégory Lefebvre, Jérôme Carayol, et al.. (2017). Transcriptome profiling from adipose tissue during a low-calorie diet reveals predictors of weight and glycemic outcomes in obese, nondiabetic subjects. American Journal of Clinical Nutrition. 106(3). 736–746. 49 indexed citations
15.
Valsesia, Armand, Wim H. M. Saris, Arne Astrup, Jörg Hager, & Mojgan Masoodi. (2016). Distinct lipid profiles predict improved glycemic control in obese, nondiabetic patients after a low-caloric diet intervention: the Diet, Obesity and Genes randomized trial. American Journal of Clinical Nutrition. 104(3). 566–575. 31 indexed citations
16.
Valsesia, Armand, Pierre Chatelain, Adam Stevens, et al.. (2015). GH deficiency status combined with GH receptor polymorphism affects response to GH in children. European Journal of Endocrinology. 173(6). 777–789. 12 indexed citations
17.
Roumans, Nadia, Roel Vink, Marij Gielen, et al.. (2015). Variation in extracellular matrix genes is associated with weight regain after weight loss in a sex-specific manner. Genes & Nutrition. 10(6). 56–56. 19 indexed citations
18.
Valsesia, Armand, Aurélien Macé, Sébastien Jacquemont, J. Beckmann, & Zoltán Kutalik. (2013). The Growing Importance of CNVs: New Insights for Detection and Clinical Interpretation. Frontiers in Genetics. 4. 92–92. 44 indexed citations
19.
20.
Hon, Gary C., R. David Hawkins, Otávia L. Caballero, et al.. (2011). Global DNA hypomethylation coupled to repressive chromatin domain formation and gene silencing in breast cancer. Genome Research. 22(2). 246–258. 410 indexed citations

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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