Véronique Converset

597 total citations
9 papers, 499 citations indexed

About

Véronique Converset is a scholar working on Molecular Biology, Physiology and Spectroscopy. According to data from OpenAlex, Véronique Converset has authored 9 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Spectroscopy. Recurrent topics in Véronique Converset's work include Adipose Tissue and Metabolism (4 papers), Advanced Proteomics Techniques and Applications (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Véronique Converset is often cited by papers focused on Adipose Tissue and Metabolism (4 papers), Advanced Proteomics Techniques and Applications (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Véronique Converset collaborates with scholars based in Switzerland and United Kingdom. Véronique Converset's co-authors include Denis F. Hochstrasser, Matthew V. Sennitt, Michael A. Cawthorne, G. M. Schmid, Nadia Walter, Salvo Paesano, Christine Hoogland, Anna L. Nolan, Garry L. Corthals and Jean‐Charles Sanchez and has published in prestigious journals such as Molecular & Cellular Proteomics, Clinica Chimica Acta and PROTEOMICS.

In The Last Decade

Véronique Converset

9 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Véronique Converset Switzerland 9 315 132 122 79 78 9 499
Jordane Biarc France 11 327 1.0× 33 0.3× 54 0.4× 71 0.9× 22 0.3× 17 618
Salvo Paesano Switzerland 4 174 0.6× 66 0.5× 77 0.6× 30 0.4× 38 0.5× 4 305
J B Bouvier France 7 148 0.5× 90 0.7× 18 0.1× 29 0.4× 51 0.7× 7 422
Ryo Taguchi Japan 10 492 1.6× 121 0.9× 16 0.1× 65 0.8× 141 1.8× 16 680
John C.H. Steele United States 11 183 0.6× 26 0.2× 35 0.3× 98 1.2× 43 0.6× 25 493
A. Di Franco Italy 16 202 0.6× 98 0.7× 21 0.2× 69 0.9× 31 0.4× 48 805
Marianne Sandin Sweden 11 272 0.9× 30 0.2× 160 1.3× 39 0.5× 28 0.4× 12 490
Yoshihiro Kadota Japan 14 281 0.9× 244 1.8× 11 0.1× 41 0.5× 85 1.1× 32 501
Mariana Lopes United States 8 322 1.0× 80 0.6× 26 0.2× 101 1.3× 17 0.2× 13 499
Tara L. Archuleta United States 8 150 0.5× 99 0.8× 13 0.1× 79 1.0× 113 1.4× 9 387

Countries citing papers authored by Véronique Converset

Since Specialization
Citations

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

Fields of papers citing papers by Véronique Converset

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Véronique Converset

This figure shows the co-authorship network connecting the top 25 collaborators of Véronique Converset. A scholar is included among the top collaborators of Véronique Converset 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 Véronique Converset. Véronique Converset is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Lescuyer, Pierre, Lucas Auer, Véronique Converset, et al.. (2012). Comparison of gel-based methods for the detection of cerebrospinal fluid rhinorrhea. Clinica Chimica Acta. 413(13-14). 1145–1150. 9 indexed citations
2.
Scherl, Alexander, Patrice François, Véronique Converset, et al.. (2004). Nonredundant mass spectrometry: A strategy to integrate mass spectrometry acquisition and analysis. PROTEOMICS. 4(4). 917–927. 28 indexed citations
3.
Schmid, G. M., Véronique Converset, Nadia Walter, et al.. (2004). Effect of high‐fat diet on the expression of proteins in muscle, adipose tissues, and liver of C57BL/6 mice. PROTEOMICS. 4(8). 2270–2282. 92 indexed citations
4.
Scherl, Alexander, Patrice François, Manuela Bento, et al.. (2004). Correlation of proteomic and transcriptomic profiles of Staphylococcus aureus during the post-exponential phase of growth. Journal of Microbiological Methods. 60(2). 247–257. 51 indexed citations
5.
Sanchez, Jean‐Charles, Véronique Converset, Anna L. Nolan, et al.. (2003). Effect of rosiglitazone on the differential expression of obesity and insulin resistance associated proteins in lep/lep mice. PROTEOMICS. 3(8). 1500–1520. 47 indexed citations
6.
Deshusses, J., Jennifer Burgess, Alexander Scherl, et al.. (2003). Exploitation of specific properties of trifluoroethanol for extraction and separation of membrane proteins. PROTEOMICS. 3(8). 1418–1424. 62 indexed citations
7.
Sanchez, Jean‐Charles, Véronique Converset, Anna L. Nolan, et al.. (2002). Effect of Rosiglitazone on the Differential Expression of Diabetes-associated Proteins in Pancreatic Islets of C57Bl/6 lep/lep Mice. Molecular & Cellular Proteomics. 1(7). 509–516. 67 indexed citations
8.
Sanchez, Jean‐Charles, Diego Chiappe, Véronique Converset, et al.. (2001). The mouse SWISS-2D PAGE database: a tool for proteomics study of diabetes and obesity. PROTEOMICS. 1(1). 136–163. 132 indexed citations
9.
Sanchez, Jean‐Charles, Diego Chiappe, Véronique Converset, et al.. (2001). The mouse SWISS-2D PAGE database: a tool for proteomics study of diabetes and obesity. PROTEOMICS. 1(1). 136–163. 11 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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