Mathilde Boissel

3.3k total citations
10 papers, 162 citations indexed

About

Mathilde Boissel is a scholar working on Genetics, Endocrine and Autonomic Systems and Molecular Biology. According to data from OpenAlex, Mathilde Boissel has authored 10 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 4 papers in Endocrine and Autonomic Systems and 2 papers in Molecular Biology. Recurrent topics in Mathilde Boissel's work include Genetic Associations and Epidemiology (5 papers), Genomics and Rare Diseases (3 papers) and Genetic and phenotypic traits in livestock (2 papers). Mathilde Boissel is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Genomics and Rare Diseases (3 papers) and Genetic and phenotypic traits in livestock (2 papers). Mathilde Boissel collaborates with scholars based in United Kingdom, France and United States. Mathilde Boissel's co-authors include Philippe Froguel, Amélie Bonnefond, Inga Prokopenko, Arie Nouwen, Anna Ulrich, Marika Kaakinen, Zhanna Balkhiyarova, Mickaël Canouil, Amna Khamis and Min Chen and has published in prestigious journals such as Nature Communications, Diabetes Care and Diabetes.

In The Last Decade

Mathilde Boissel

9 papers receiving 162 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathilde Boissel United Kingdom 7 61 54 46 39 30 10 162
Rosemary E. Henn United States 7 58 1.0× 18 0.3× 45 1.0× 61 1.6× 49 1.6× 9 214
Manon Bernard Canada 7 61 1.0× 21 0.4× 65 1.4× 48 1.2× 28 0.9× 11 254
Junying Han United States 6 36 0.6× 18 0.3× 19 0.4× 34 0.9× 45 1.5× 9 148
Kirthikaa Balapattabi United States 9 53 0.9× 49 0.9× 13 0.3× 67 1.7× 13 0.4× 21 192
María Teresa Flores-Dorantes Mexico 4 66 1.1× 12 0.2× 41 0.9× 38 1.0× 58 1.9× 4 208
Florianne Bauer Netherlands 6 58 1.0× 57 1.1× 80 1.7× 78 2.0× 17 0.6× 8 252
Aaron A. May‐Zhang United States 7 68 1.1× 53 1.0× 10 0.2× 60 1.5× 62 2.1× 12 210
Gideon Allick Netherlands 8 62 1.0× 27 0.5× 18 0.4× 116 3.0× 26 0.9× 8 240
Orla Woodward United Kingdom 6 30 0.5× 51 0.9× 9 0.2× 27 0.7× 33 1.1× 6 135
Rafael Simone Saia Brazil 11 54 0.9× 39 0.7× 7 0.2× 49 1.3× 35 1.2× 17 263

Countries citing papers authored by Mathilde Boissel

Since Specialization
Citations

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

Fields of papers citing papers by Mathilde Boissel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathilde Boissel

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

All Works

10 of 10 papers shown
1.
Burrows, Kimberley, Anni Heiskala, Jonathan P. Bradfield, et al.. (2024). A framework for conducting GWAS using repeated measures data with an application to childhood BMI. Nature Communications. 15(1). 10067–10067.
2.
Baron, Morgane, Emmanuel Vaillant, Aurélie Dechaume, et al.. (2024). Pathogenic, Total Loss-of-Function DYRK1B Variants Cause Monogenic Obesity Associated With Type 2 Diabetes. Diabetes Care. 47(3). 444–451. 6 indexed citations
3.
Boutry, Raphaël, Emmanuel Vaillant, Aurélie Dechaume, et al.. (2023). Pathogenic monoallelic variants in GLIS3 increase type 2 diabetes risk and identify a subgroup of patients sensitive to sulfonylureas. Diabetologia. 67(2). 327–332. 4 indexed citations
4.
Balkhiyarova, Zhanna, Arie Nouwen, Anna Ulrich, et al.. (2023). Bidirectional Mendelian Randomization and Multiphenotype GWAS Show Causality and Shared Pathophysiology Between Depression and Type 2 Diabetes. Diabetes Care. 46(9). 1707–1714. 56 indexed citations
5.
Delemer, Brigitte, Christine Poitou, Martine Vaxillaire, et al.. (2023). Heterozygous pathogenic variants in POMC are not responsible for monogenic obesity: Implication for MC4R agonist use. Genetics in Medicine. 25(7). 100857–100857. 10 indexed citations
6.
Baron, Morgane, Emmanuel Vaillant, Mathilde Boissel, et al.. (2023). Contribution of heterozygous PCSK1 variants to obesity and implications for precision medicine: a case-control study. The Lancet Diabetes & Endocrinology. 11(3). 182–190. 17 indexed citations
7.
Saeed, Sadia, Emmanuelle Durand, Emmanuel Vaillant, et al.. (2022). Rare Variant Analysis of Obesity-Associated Genes in Young Adults With Severe Obesity From a Consanguineous Population of Pakistan. Diabetes. 71(4). 694–705. 11 indexed citations
8.
Hégron, Alan, Xavier Deupí, Wenwen Gao, et al.. (2021). Identification of Key Regions Mediating Human Melatonin Type 1 Receptor Functional Selectivity Revealed by Natural Variants. ACS Pharmacology & Translational Science. 4(5). 1614–1627. 7 indexed citations
9.
Dizier, Marie‐Hélène, Mathilde Boissel, Ghislain Rocheleau, et al.. (2019). General regression model: A “model‐free” association test for quantitative traits allowing to test for the underlying genetic model. Annals of Human Genetics. 84(3). 280–290. 1 indexed citations
10.
Plouffe, Bianca, Amélie Bonnefond, Min Chen, et al.. (2018). Type 2 diabetes–associated variants of the MT 2 melatonin receptor affect distinct modes of signaling. Science Signaling. 11(545). 50 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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