Maud Fagny

3.3k total citations
21 papers, 1.3k citations indexed

About

Maud Fagny is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Maud Fagny has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Maud Fagny's work include Epigenetics and DNA Methylation (8 papers), Bioinformatics and Genomic Networks (5 papers) and Genetic Associations and Epidemiology (4 papers). Maud Fagny is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Bioinformatics and Genomic Networks (5 papers) and Genetic Associations and Epidemiology (4 papers). Maud Fagny collaborates with scholars based in United States, France and Canada. Maud Fagny's co-authors include John Quackenbush, Marieke L. Kuijjer, John Platig, Kimberly Glass, Joseph N. Paulson, Camila M. Lopes‐Ramos, Cho-Yi Chen, Abhijeet R. Sonawane, Dawn L. DeMeo and Lluís Quintana‐Murci and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

Maud Fagny

20 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maud Fagny United States 17 731 403 134 128 89 21 1.3k
Muthuswamy Raveendran United States 18 423 0.6× 280 0.7× 148 1.1× 91 0.7× 49 0.6× 47 1.1k
Gabriel E. Hoffman United States 24 965 1.3× 708 1.8× 137 1.0× 137 1.1× 67 0.8× 51 2.0k
Andrew Kirby United States 10 705 1.0× 643 1.6× 150 1.1× 82 0.6× 137 1.5× 12 1.4k
Nasa Sinnott-Armstrong United States 20 1.1k 1.5× 755 1.9× 84 0.6× 150 1.2× 76 0.9× 32 2.1k
Hilary C. Martin United Kingdom 16 612 0.8× 809 2.0× 67 0.5× 88 0.7× 60 0.7× 25 1.6k
Ichiko Nishijima Japan 17 604 0.8× 263 0.7× 121 0.9× 124 1.0× 136 1.5× 41 1.2k
Vincent T. Cunliffe United Kingdom 26 1.5k 2.1× 411 1.0× 162 1.2× 170 1.3× 70 0.8× 54 2.3k
Pierre‐Luc Germain Switzerland 18 861 1.2× 169 0.4× 182 1.4× 185 1.4× 66 0.7× 42 1.3k
Serge Saxonov United States 7 1.2k 1.6× 441 1.1× 67 0.5× 159 1.2× 71 0.8× 9 1.6k
Matthew P. Conomos United States 16 549 0.8× 861 2.1× 67 0.5× 85 0.7× 84 0.9× 26 1.5k

Countries citing papers authored by Maud Fagny

Since Specialization
Citations

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

Fields of papers citing papers by Maud Fagny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maud Fagny

This figure shows the co-authorship network connecting the top 25 collaborators of Maud Fagny. A scholar is included among the top collaborators of Maud Fagny 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 Maud Fagny. Maud Fagny 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.
Scelza, Brooke A., Sean P. Prall, Étienne Patin, et al.. (2025). Common DNA sequence variation influences epigenetic aging in African populations. Communications Biology. 8(1). 1530–1530.
2.
Fagny, Maud & Frédéric Austerlitz. (2021). Polygenic Adaptation: Integrating Population Genetics and Gene Regulatory Networks. Trends in Genetics. 37(7). 631–638. 53 indexed citations
3.
Fagny, Maud, Marieke L. Kuijjer, Maike Stam, et al.. (2021). Identification of Key Tissue-Specific, Biological Processes by Integrating Enhancer Information in Maize Gene Regulatory Networks. Frontiers in Genetics. 11. 606285–606285. 14 indexed citations
4.
Kuijjer, Marieke L., Maud Fagny, Alessandro Marin, John Quackenbush, & Kimberly Glass. (2020). PUMA: PANDA Using MicroRNA Associations. Bioinformatics. 36(18). 4765–4773. 16 indexed citations
5.
Lopes‐Ramos, Camila M., Cho-Yi Chen, Marieke L. Kuijjer, et al.. (2020). Sex Differences in Gene Expression and Regulatory Networks across 29 Human Tissues. Cell Reports. 31(12). 107795–107795. 195 indexed citations
6.
Fogel, O., Maud Fagny, Laurence Leclere, et al.. (2019). Deregulation of microRNA expression in monocytes and CD4+ T lymphocytes from patients with axial spondyloarthritis. Arthritis Research & Therapy. 21(1). 51–51. 24 indexed citations
7.
Chaix, Raphaëlle, Maud Fagny, Marta Cosín‐Tomás, et al.. (2019). Differential DNA methylation in experienced meditators after an intensive day of mindfulness-based practice: Implications for immune-related pathways. Brain Behavior and Immunity. 84. 36–44. 46 indexed citations
8.
Fagny, Maud, John Platig, Marieke L. Kuijjer, Xihong Lin, & John Quackenbush. (2019). Nongenic cancer-risk SNPs affect oncogenes, tumour-suppressor genes, and immune function. British Journal of Cancer. 122(4). 569–577. 22 indexed citations
9.
Husquin, Lucas, Maxime Rotival, Maud Fagny, et al.. (2018). Exploring the genetic basis of human population differences in DNA methylation and their causal impact on immune gene regulation. Genome biology. 19(1). 222–222. 79 indexed citations
10.
Weber, Axel, Sigrid C. Schwarz, Jörg Tost, et al.. (2018). Epigenome-wide DNA methylation profiling in Progressive Supranuclear Palsy reveals major changes at DLX1. Nature Communications. 9(1). 2929–2929. 19 indexed citations
11.
Barry, Joseph D., Maud Fagny, Joseph N. Paulson, et al.. (2018). Histopathological Image QTL Discovery of Immune Infiltration Variants. iScience. 5. 80–89. 12 indexed citations
12.
Gopalan, Shyamalika, Oana Carja, Maud Fagny, et al.. (2017). Trends in DNA Methylation with Age Replicate Across Diverse Human Populations. Genetics. 206(3). 1659–1674. 63 indexed citations
13.
Sonawane, Abhijeet R., John Platig, Maud Fagny, et al.. (2017). Understanding Tissue-Specific Gene Regulation. Cell Reports. 21(4). 1077–1088. 248 indexed citations
14.
Paulson, Joseph N., Cho-Yi Chen, Camila M. Lopes‐Ramos, et al.. (2017). Tissue-aware RNA-Seq processing and normalization for heterogeneous and sparse data. BMC Bioinformatics. 18(1). 437–437. 30 indexed citations
15.
Chaix, Raphaëlle, María Jesús Álvarez‐López, Maud Fagny, et al.. (2017). Epigenetic clock analysis in long-term meditators. Psychoneuroendocrinology. 85. 210–214. 52 indexed citations
16.
Lopes‐Ramos, Camila M., Joseph N. Paulson, Cho-Yi Chen, et al.. (2017). Regulatory network changes between cell lines and their tissues of origin. BMC Genomics. 18(1). 723–723. 47 indexed citations
17.
Fagny, Maud, Joseph N. Paulson, Marieke L. Kuijjer, et al.. (2017). Exploring regulation in tissues with eQTL networks. Proceedings of the National Academy of Sciences. 114(37). E7841–E7850. 59 indexed citations
18.
Deschamps, Matthieu, Guillaume Laval, Maud Fagny, et al.. (2016). Genomic Signatures of Selective Pressures and Introgression from Archaic Hominins at Human Innate Immunity Genes. The American Journal of Human Genetics. 98(1). 5–21. 165 indexed citations
19.
Fagny, Maud, Étienne Patin, Julia L. MacIsaac, et al.. (2015). The epigenomic landscape of African rainforest hunter-gatherers and farmers. Nature Communications. 6(1). 10047–10047. 64 indexed citations
20.
Fagny, Maud, Étienne Patin, David Enard, et al.. (2014). Exploring the Occurrence of Classic Selective Sweeps in Humans Using Whole-Genome Sequencing Data Sets. Molecular Biology and Evolution. 31(7). 1850–1868. 55 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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