Ninon Mounier

1.9k total citations · 2 hit papers
9 papers, 642 citations indexed

About

Ninon Mounier is a scholar working on Genetics, Molecular Biology and Ophthalmology. According to data from OpenAlex, Ninon Mounier has authored 9 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 2 papers in Molecular Biology and 1 paper in Ophthalmology. Recurrent topics in Ninon Mounier's work include Genetic Associations and Epidemiology (7 papers), Genetic and phenotypic traits in livestock (4 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Ninon Mounier is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), Genetic and phenotypic traits in livestock (4 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Ninon Mounier collaborates with scholars based in Switzerland, United Kingdom and United States. Ninon Mounier's co-authors include Zoltán Kutalik, Christophe Dessimoz, Nastassia Gobet, Medhat Mahmoud, Fritz J. Sedlazeck, Andrew R. Wood, Timothy M. Frayling, Felix Günther, Thomas W. Winkler and Iris M. Heid and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Ninon Mounier

9 papers receiving 637 citations

Hit Papers

Structural variant calling: the long and the short of it 2019 2026 2021 2023 2019 2023 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Structural variant calling: the long and the short of it
    2019 354 citations Medhat Mahmoud, Nastassia Gobet et al. Genome biology profile →
  2. Bias correction for inverse variance weighting Mendelian randomization
    2023 173 citations Ninon Mounier, Zoltán Kutalik Genetic Epidemiology profile →

Peers

Ninon Mounier
Urko M. Marigorta Spain
Carlo Sidore Italy
Sebastian Schoenherr Austria
Jai Rup Singh India
Heejung Shim Australia
Joelle Mbatchou United States
Longda Jiang Australia
Raili Ermel Estonia
Laurel A Bastone United States
Yao-Zhong Liu China
Urko M. Marigorta Spain
Ninon Mounier
Citations per year, relative to Ninon Mounier Ninon Mounier (= 1×) peers Urko M. Marigorta

Countries citing papers authored by Ninon Mounier

Since Specialization
Citations

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

Fields of papers citing papers by Ninon Mounier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ninon Mounier

This figure shows the co-authorship network connecting the top 25 collaborators of Ninon Mounier. A scholar is included among the top collaborators of Ninon Mounier 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 Ninon Mounier. Ninon Mounier 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.
Mounier, Ninon, et al.. (2024). Using clustering of genetic variants in Mendelian randomization to interrogate the causal pathways underlying multimorbidity from a common risk factor. Genetic Epidemiology. 49(1). e22582–e22582. 1 indexed citations
2.
Tomasoni, Mattia, Ninon Mounier, Eleonora Porcu, et al.. (2023). Genome-wide Association Studies of Retinal Vessel Tortuosity Identify Numerous Novel Loci Revealing Genes and Pathways Associated With Ocular and Cardiometabolic Diseases. SHILAP Revista de lepidopterología. 3(3). 100288–100288. 12 indexed citations
3.
Mounier, Ninon & Zoltán Kutalik. (2023). Bias correction for inverse variance weighting Mendelian randomization. Genetic Epidemiology. 47(4). 314–331. 173 indexed citations breakdown →
4.
Mounier, Ninon, Chiara Auwerx, Eirini Marouli, et al.. (2021). Composite trait Mendelian randomization reveals distinct metabolic and lifestyle consequences of differences in body shape. Communications Biology. 4(1). 1064–1064. 11 indexed citations
5.
Mounier, Ninon, et al.. (2021). Simultaneous estimation of bi-directional causal effects and heritable confounding from GWAS summary statistics. Nature Communications. 12(1). 7274–7274. 44 indexed citations
6.
Porcu, Eleonora, Jennifer Sjaarda, Kaido Lepik, et al.. (2020). Causal Inference Methods to Integrate Omics and Complex Traits. Cold Spring Harbor Perspectives in Medicine. 11(5). a040493–a040493. 12 indexed citations
7.
Mounier, Ninon, Felix Günther, Thomas W. Winkler, et al.. (2020). Quantification of the overall contribution of gene-environment interaction for obesity-related traits. Nature Communications. 11(1). 1385–1385. 32 indexed citations
8.
Mounier, Ninon & Zoltán Kutalik. (2020). bGWAS: an R package to perform Bayesian genome wide association studies. Bioinformatics. 36(15). 4374–4376. 3 indexed citations
9.
Mahmoud, Medhat, et al.. (2019). Structural variant calling: the long and the short of it. Genome biology. 20(1). 246–246. 354 indexed citations breakdown →

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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