Arthur Gilly

6.7k total citations · 1 hit paper
22 papers, 983 citations indexed

About

Arthur Gilly is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Arthur Gilly has authored 22 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 10 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Arthur Gilly's work include Genetic Associations and Epidemiology (14 papers), Genetic and phenotypic traits in livestock (4 papers) and Bioinformatics and Genomic Networks (4 papers). Arthur Gilly is often cited by papers focused on Genetic Associations and Epidemiology (14 papers), Genetic and phenotypic traits in livestock (4 papers) and Bioinformatics and Genomic Networks (4 papers). Arthur Gilly collaborates with scholars based in United Kingdom, Greece and Germany. Arthur Gilly's co-authors include Eleftheria Zeggini, Jean‐Marc Aury, Vincent Colot, Mathilde Etcheverry, Patrick Wincker, Erwann Caillieux, Karine Labadie, Konstantinos Hatzikotoulas, François Roudier and Frank Johannes and has published in prestigious journals such as Science, Nature Communications and Nature Genetics.

In The Last Decade

Arthur Gilly

22 papers receiving 971 citations

Hit Papers

Mapping the Epigenetic Basis of Complex Traits 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arthur Gilly United Kingdom 12 442 429 360 71 70 22 983
Heather A. Lawson United States 17 450 1.0× 494 1.2× 121 0.3× 79 1.1× 118 1.7× 29 970
Hiroko Ohmiya Japan 11 593 1.3× 265 0.6× 560 1.6× 71 1.0× 52 0.7× 14 1.1k
Atila van Nas United States 13 425 1.0× 561 1.3× 138 0.4× 62 0.9× 104 1.5× 15 974
Isabelle Gillot France 10 645 1.5× 283 0.7× 112 0.3× 115 1.6× 57 0.8× 15 990
Joelle Mbatchou United States 5 171 0.4× 315 0.7× 160 0.4× 23 0.3× 42 0.6× 10 693
Sergey Kurdyukov Australia 16 1.1k 2.6× 154 0.4× 948 2.6× 102 1.4× 77 1.1× 25 1.6k
Jie Ling China 17 181 0.4× 511 1.2× 680 1.9× 39 0.5× 32 0.5× 40 1.0k
Alastair S. H. Goldman United Kingdom 21 1.1k 2.6× 436 1.0× 408 1.1× 102 1.4× 29 0.4× 41 1.5k
Francisco M. De La Vega United States 14 401 0.9× 437 1.0× 73 0.2× 51 0.7× 31 0.4× 21 828
Ninon Mounier Switzerland 7 316 0.7× 379 0.9× 99 0.3× 69 1.0× 50 0.7× 9 642

Countries citing papers authored by Arthur Gilly

Since Specialization
Citations

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

Fields of papers citing papers by Arthur Gilly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arthur Gilly

This figure shows the co-authorship network connecting the top 25 collaborators of Arthur Gilly. A scholar is included among the top collaborators of Arthur Gilly 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 Arthur Gilly. Arthur Gilly 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.
Andersen, Mette K., Emil Jørsboe, Frederik Filip Stæger, et al.. (2023). GWAS of lipids in Greenlanders finds association signals shared with Europeans and reveals an independent PCSK9 association signal. European Journal of Human Genetics. 32(2). 215–223. 5 indexed citations
2.
Gilly, Arthur, et al.. (2023). Genome-wide meta-analysis of 92 cardiometabolic protein serum levels. Molecular Metabolism. 78. 101810–101810. 2 indexed citations
3.
Swift, Diane, et al.. (2023). Epigenomic profiling of the infrapatellar fat pad in osteoarthritis. Human Molecular Genetics. 33(6). 501–509. 9 indexed citations
4.
Bocher, Ozvan, et al.. (2023). Bridging the diversity gap: Analytical and study design considerations for improving the accuracy of trans-ancestry genetic prediction. Human Genetics and Genomics Advances. 4(3). 100214–100214. 4 indexed citations
5.
Gilly, Arthur, Lucija Klarić, Andrei Barysenka, et al.. (2022). Gene-based whole genome sequencing meta-analysis of 250 circulating proteins in three isolated European populations. Molecular Metabolism. 61. 101509–101509. 4 indexed citations
6.
Kuchenbaecker, Karoline, Arthur Gilly, Dániel Süveges, et al.. (2022). Insights into the genetic architecture of haematological traits from deep phenotyping and whole-genome sequencing for two Mediterranean isolated populations. Scientific Reports. 12(1). 1131–1131. 2 indexed citations
7.
Barysenka, Andrei, Pau Navarro, Xia Shen, et al.. (2021). Mapping the serum proteome to neurological diseases using whole genome sequencing. Nature Communications. 12(1). 7042–7042. 34 indexed citations
8.
Gilly, Arthur, Andrei Barysenka, Iris Fischer, et al.. (2020). Whole-genome sequencing analysis of the cardiometabolic proteome. Nature Communications. 11(1). 6336–6336. 61 indexed citations
9.
Farmaki, Aliki‐Eleni, Nigel W. Rayner, Angela Matchan, et al.. (2019). A Dietary Pattern with High Sugar Content Is Associated with Cardiometabolic Risk Factors in the Pomak Population. Nutrients. 11(12). 3043–3043. 12 indexed citations
10.
Quadrana, Leandro, Mathilde Etcheverry, Arthur Gilly, et al.. (2019). Transposition favors the generation of large effect mutations that may facilitate rapid adaption. Nature Communications. 10(1). 3421–3421. 112 indexed citations
11.
Süveges, Dániel, Klaudia Walter, Kousik Kundu, et al.. (2019). Population‐wide copy number variation calling using variant call format files from 6,898 individuals. Genetic Epidemiology. 44(1). 79–89. 3 indexed citations
12.
Gilly, Arthur, Lorraine Southam, Dániel Süveges, et al.. (2018). Very low-depth whole-genome sequencing in complex trait association studies. Bioinformatics. 35(15). 2555–2561. 60 indexed citations
13.
Grarup, Niels, Ida Moltke, Mette K. Andersen, et al.. (2018). Loss-of-function variants in ADCY3 increase risk of obesity and type 2 diabetes. Nature Genetics. 50(2). 172–174. 119 indexed citations
14.
Southam, Lorraine, Arthur Gilly, Dániel Süveges, et al.. (2017). Whole genome sequencing and imputation in isolated populations identify genetic associations with medically-relevant complex traits. Nature Communications. 8(1). 15606–15606. 52 indexed citations
15.
Hackinger, Sophie, Katerina Trajanoska, Unnur Styrkársdóttir, et al.. (2017). Evaluation of shared genetic aetiology between osteoarthritis and bone mineral density identifies SMAD3 as a novel osteoarthritis risk locus. Human Molecular Genetics. 26(19). 3850–3858. 36 indexed citations
16.
Farmaki, Aliki‐Eleni, Nigel W. Rayner, Angela Matchan, et al.. (2016). The mountainous Cretan dietary patterns and their relationship with cardiovascular risk factors: the Hellenic Isolated Cohorts MANOLIS study. Public Health Nutrition. 20(6). 1063–1074. 10 indexed citations
17.
Gilly, Arthur, Graham R. S. Ritchie, Lorraine Southam, et al.. (2016). Very low-depth sequencing in a founder population identifies a cardioprotectiveAPOC3signal missed by genome-wide imputation. Human Molecular Genetics. 25(11). 2360–2365. 17 indexed citations
18.
Gilly, Arthur, Mathilde Etcheverry, Mohammed‐Amin Madoui, et al.. (2014). TE-Tracker: systematic identification of transposition events through whole-genome resequencing. BMC Bioinformatics. 15(1). 377–377. 22 indexed citations
19.
Cortijo, Sandra, René Wardenaar, Maria Colomé‐Tatché, et al.. (2014). Mapping the Epigenetic Basis of Complex Traits. Science. 343(6175). 1145–1148. 342 indexed citations breakdown →
20.

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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