Eleonora Laritsky

2.1k total citations · 1 hit paper
17 papers, 1.2k citations indexed

About

Eleonora Laritsky is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Eleonora Laritsky has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Genetics and 7 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Eleonora Laritsky's work include Epigenetics and DNA Methylation (17 papers), Birth, Development, and Health (7 papers) and Genetic Syndromes and Imprinting (6 papers). Eleonora Laritsky is often cited by papers focused on Epigenetics and DNA Methylation (17 papers), Birth, Development, and Health (7 papers) and Genetic Syndromes and Imprinting (6 papers). Eleonora Laritsky collaborates with scholars based in United States, Gambia and United Kingdom. Eleonora Laritsky's co-authors include Robert A. Waterland, Andrew M. Prentice, Maria S. Baker, Wenjuan Zhang, Lanlan Shen, Richárd Kellermayer, Sophie E. Moore, Matt J. Silver, R. Alan Harris and Jiexin Zhang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Diabetes.

In The Last Decade

Eleonora Laritsky

16 papers receiving 1.2k citations

Hit Papers

Maternal nutrition at con... 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
Eleonora Laritsky United States 14 760 567 322 153 142 17 1.2k
Rudolf P. Talens Netherlands 5 1.0k 1.3× 686 1.2× 379 1.2× 203 1.3× 178 1.3× 5 1.5k
Maria S. Baker United States 12 447 0.6× 413 0.7× 187 0.6× 116 0.8× 124 0.9× 15 804
Alexandra Thurston United Kingdom 7 601 0.8× 497 0.9× 286 0.9× 179 1.2× 105 0.7× 7 1.1k
Tamara R. Cohen Canada 15 468 0.6× 331 0.6× 170 0.5× 148 1.0× 186 1.3× 70 1.2k
Bram Bekaert Belgium 17 505 0.7× 203 0.4× 196 0.6× 51 0.3× 71 0.5× 49 1.0k
Alexandra M. Binder United States 20 802 1.1× 535 0.9× 239 0.7× 177 1.2× 109 0.8× 49 1.5k
Linda Attig France 11 282 0.4× 559 1.0× 120 0.4× 195 1.3× 268 1.9× 17 960
Miguel A. Velazquez United Kingdom 21 380 0.5× 801 1.4× 252 0.8× 342 2.2× 118 0.8× 38 1.7k
Batbayar Khulan United Kingdom 11 560 0.7× 282 0.5× 171 0.5× 85 0.6× 52 0.4× 17 828
Ramin Monajemi Netherlands 8 583 0.8× 269 0.5× 234 0.7× 75 0.5× 99 0.7× 11 919

Countries citing papers authored by Eleonora Laritsky

Since Specialization
Citations

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

Fields of papers citing papers by Eleonora Laritsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eleonora Laritsky

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

All Works

17 of 17 papers shown
1.
Gunasekara, Chathura, Taylor Zhang, Jonathan N. Wells, et al.. (2025). Mouse metastable epialleles are extremely rare. Nucleic Acids Research. 53(14).
2.
Baker, Maria S., Eleonora Laritsky, Chathura Gunasekara, et al.. (2024). Systemic interindividual DNA methylation variants in cattle share major hallmarks with those in humans. Genome biology. 25(1). 185–185. 6 indexed citations
3.
Gunasekara, Chathura, Harry A. Mackay, C. Anthony Scott, et al.. (2023). Systemic interindividual epigenetic variation in humans is associated with transposable elements and under strong genetic control. Genome biology. 24(1). 2–2. 19 indexed citations
4.
Candler, Toby, Noah J. Kessler, Chathura Gunasekara, et al.. (2021). DNA methylation at a nutritionally sensitive region of the PAX8 gene is associated with thyroid volume and function in Gambian children. Science Advances. 7(45). eabj1561–eabj1561. 10 indexed citations
5.
Scott, C. Anthony, Jack Duryea, Harry A. Mackay, et al.. (2020). Identification of cell type-specific methylation signals in bulk whole genome bisulfite sequencing data. Genome biology. 21(1). 156–156. 20 indexed citations
6.
Gunasekara, Chathura, C. Anthony Scott, Eleonora Laritsky, et al.. (2019). A genomic atlas of systemic interindividual epigenetic variation in humans. Genome biology. 20(1). 105–105. 68 indexed citations
7.
Mackay, Harry A., C. Anthony Scott, Jack Duryea, et al.. (2019). DNA methylation in AgRP neurons regulates voluntary exercise behavior in mice. Nature Communications. 10(1). 5364–5364. 32 indexed citations
8.
Li, Ge, et al.. (2019). Early postnatal overnutrition accelerates aging-associated epigenetic drift in pancreatic islets. Current Zoology. 5(3). dvz015–dvz015. 14 indexed citations
9.
Silver, Matt J., Noah J. Kessler, Branwen J. Hennig, et al.. (2015). Independent genomewide screens identify the tumor suppressor VTRNA2-1 as a human epiallele responsive to periconceptional environment. Genome Biology. 16(1). 118–118. 121 indexed citations
10.
Kessler, Noah J., et al.. (2015). CpG methylation differences between neurons and glia are highly conserved from mouse to human. Human Molecular Genetics. 25(2). 223–232. 14 indexed citations
11.
Domínguez-Salas, Paula, Sophie E. Moore, Maria S. Baker, et al.. (2014). Maternal nutrition at conception modulates DNA methylation of human metastable epialleles. Nature Communications. 5(1). 3746–3746. 360 indexed citations breakdown →
12.
Kunde‐Ramamoorthy, Govindarajan, Cristian Coarfa, Eleonora Laritsky, et al.. (2014). Comparison and quantitative verification of mapping algorithms for whole-genome bisulfite sequencing. Nucleic Acids Research. 42(6). e43–e43. 48 indexed citations
13.
Li, Ge, John J. Kohorst, Wenjuan Zhang, et al.. (2013). Early Postnatal Nutrition Determines Adult Physical Activity and Energy Expenditure in Female Mice. Diabetes. 62(8). 2773–2783. 43 indexed citations
14.
Li, Ge, Wenjuan Zhang, Maria S. Baker, et al.. (2013). Major epigenetic development distinguishing neuronal and non-neuronal cells occurs postnatally in the murine hypothalamus. Human Molecular Genetics. 23(6). 1579–1590. 29 indexed citations
15.
Kellermayer, Richárd, Alfred Balasa, Wenjuan Zhang, et al.. (2010). Epigenetic maturation in colonic mucosa continues beyond infancy in mice. Human Molecular Genetics. 19(11). 2168–2176. 40 indexed citations
16.
Waterland, Robert A., Richárd Kellermayer, Eleonora Laritsky, et al.. (2010). Season of Conception in Rural Gambia Affects DNA Methylation at Putative Human Metastable Epialleles. PLoS Genetics. 6(12). e1001252–e1001252. 318 indexed citations
17.
Waterland, Robert A., Richárd Kellermayer, Marie-Therese Rached, et al.. (2009). Epigenomic profiling indicates a role for DNA methylation in early postnatal liver development. Human Molecular Genetics. 18(16). 3026–3038. 51 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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