Colm E. Nestor

3.5k total citations
41 papers, 2.2k citations indexed

About

Colm E. Nestor is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Colm E. Nestor has authored 41 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 10 papers in Genetics and 9 papers in Immunology. Recurrent topics in Colm E. Nestor's work include Epigenetics and DNA Methylation (25 papers), RNA modifications and cancer (11 papers) and Cancer-related gene regulation (9 papers). Colm E. Nestor is often cited by papers focused on Epigenetics and DNA Methylation (25 papers), RNA modifications and cancer (11 papers) and Cancer-related gene regulation (9 papers). Colm E. Nestor collaborates with scholars based in Sweden, United Kingdom and United States. Colm E. Nestor's co-authors include Richard R. Meehan, Donncha S. Dunican, Antonio Lentini, David J. Harrison, Duncan Sproul, J. Michael Dixon, James P. Reddington, Diana Reinhardt, Mikael Benson and Raffaele Ottaviano and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Colm E. Nestor

38 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Colm E. Nestor Sweden 22 1.8k 418 265 193 118 41 2.2k
Lorenza Vitale Italy 21 1.2k 0.7× 313 0.7× 212 0.8× 175 0.9× 103 0.9× 64 2.0k
Tina Branscombe Miranda United States 19 2.3k 1.3× 528 1.3× 323 1.2× 240 1.2× 75 0.6× 24 2.8k
Allison Piovesan Italy 17 984 0.5× 261 0.6× 264 1.0× 120 0.6× 89 0.8× 40 1.6k
Duncan Sproul United Kingdom 21 2.5k 1.4× 450 1.1× 382 1.4× 165 0.9× 104 0.9× 35 2.9k
Achim Breiling Germany 19 2.1k 1.2× 350 0.8× 422 1.6× 291 1.5× 132 1.1× 27 2.5k
Zhen‐Bo Wang China 30 1.6k 0.8× 293 0.7× 290 1.1× 157 0.8× 276 2.3× 128 2.7k
Wanding Zhou United States 24 1.8k 1.0× 421 1.0× 414 1.6× 215 1.1× 134 1.1× 60 2.4k
Fides D. Lay United States 16 1.8k 1.0× 306 0.7× 374 1.4× 111 0.6× 104 0.9× 20 2.1k
Carolina Montaño United States 11 1.9k 1.1× 517 1.2× 292 1.1× 237 1.2× 166 1.4× 16 2.4k
Oleg Denisenko United States 24 1.9k 1.0× 191 0.5× 261 1.0× 198 1.0× 112 0.9× 54 2.4k

Countries citing papers authored by Colm E. Nestor

Since Specialization
Citations

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

Fields of papers citing papers by Colm E. Nestor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Colm E. Nestor. 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 Colm E. Nestor. The network helps show where Colm E. Nestor may publish in the future.

Co-authorship network of co-authors of Colm E. Nestor

This figure shows the co-authorship network connecting the top 25 collaborators of Colm E. Nestor. A scholar is included among the top collaborators of Colm E. Nestor 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 Colm E. Nestor. Colm E. Nestor 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.
Nestor, Colm E., et al.. (2025). A whole-organism landscape of X-inactivation in humans. eLife. 14.
3.
Lundqvist, Christina, Alessandro Camponeschi, Donald A. Goldmann, et al.. (2024). A landscape of X-inactivation during human T cell development. Nature Communications. 15(1). 10527–10527. 1 indexed citations
4.
Kim, Min Jung, Sandra Hellberg, Chan Hyun Na, et al.. (2022). RNA-sequencing and mass-spectrometry proteomic time-series analysis of T-cell differentiation identified multiple splice variants models that predicted validated protein biomarkers in inflammatory diseases. Frontiers in Molecular Biosciences. 9. 916128–916128. 3 indexed citations
5.
Nestor, Colm E., et al.. (2022). Progesterone Inhibits the Establishment of Activation-Associated Chromatin During TH1 Differentiation. Frontiers in Immunology. 13. 835625–835625. 8 indexed citations
6.
Lentini, Antonio & Colm E. Nestor. (2020). Mapping DNA Methylation in Mammals: The State of the Art. Methods in molecular biology. 2198. 37–50. 5 indexed citations
7.
Henriksson, Pontus, Antonio Lentini, Signe Altmäe, et al.. (2020). DNA methylation in infants with low and high body fatness. BMC Genomics. 21(1). 769–769. 2 indexed citations
8.
Meehan, Richard R., John P. Thomson, Antonio Lentini, Colm E. Nestor, & Sari Pennings. (2018). DNA methylation as a genomic marker of exposure to chemical and environmental agents. Current Opinion in Chemical Biology. 45. 48–56. 47 indexed citations
9.
Lentini, Antonio, Svante Vikingsson, Heidi K. Mjoseng, et al.. (2018). A reassessment of DNA-immunoprecipitation-based genomic profiling. Nature Methods. 15(7). 499–504. 76 indexed citations
10.
Wang, Hui, Colm E. Nestor, Mikael Benson, & Huan Zhang. (2017). GAB2 regulates type 2 T helper cell differentiation in humans. Cytokine. 96. 234–237. 3 indexed citations
11.
Nestor, Colm E., Antonio Lentini, Cathrine Nilsson, et al.. (2016). 5-Hydroxymethylcytosine Remodeling Precedes Lineage Specification during Differentiation of Human CD4+ T Cells. Cell Reports. 16(2). 559–570. 48 indexed citations
12.
Hellberg, Sandra, Daniel Eklund, Danuta R. Gawel, et al.. (2016). Dynamic Response Genes in CD4+ T Cells Reveal a Network of Interactive Proteins that Classifies Disease Activity in Multiple Sclerosis. Cell Reports. 16(11). 2928–2939. 38 indexed citations
13.
Thomson, John P., Colm E. Nestor, & Richard R. Meehan. (2015). 5-Hydroxymethylcytosine Profiling in Human DNA. Methods in molecular biology. 1589. 89–98. 4 indexed citations
14.
Nestor, Colm E., Raffaele Ottaviano, Diana Reinhardt, et al.. (2015). Rapid reprogramming of epigenetic and transcriptional profiles in mammalian culture systems. Genome biology. 16(1). 11–11. 129 indexed citations
15.
Gustafsson, Mika, Danuta R. Gawel, Colm E. Nestor, et al.. (2014). Integrated genomic and prospective clinical studies show the importance of modular pleiotropy for disease susceptibility, diagnosis and treatment. Genome Medicine. 6(2). 17–17. 26 indexed citations
16.
Zhang, Huan, Mika Gustafsson, Colm E. Nestor, Kian Fan Chung, & Mikael Benson. (2014). Targeted omics and systems medicine: personalising care. The Lancet Respiratory Medicine. 2(10). 785–787. 13 indexed citations
17.
Gustafsson, Mika, Colm E. Nestor, Huan Zhang, et al.. (2014). Modules, networks and systems medicine for understanding disease and aiding diagnosis. Genome Medicine. 6(10). 82–82. 126 indexed citations
18.
Nestor, Colm E. & Richard R. Meehan. (2013). Hydroxymethylated DNA Immunoprecipitation (hmeDIP). Methods in molecular biology. 1094. 259–267. 25 indexed citations
19.
Nestor, Colm E., Raffaele Ottaviano, James P. Reddington, et al.. (2011). Tissue type is a major modifier of the 5-hydroxymethylcytosine content of human genes. Genome Research. 22(3). 467–477. 326 indexed citations
20.
Whitelaw, Nadia, Suyinn Chong, Colm E. Nestor, et al.. (2010). Reduced levels of two modifiers of epigenetic gene silencing, Dnmt3a and Trim28, cause increased phenotypic noise. Genome biology. 11(11). R111–R111. 54 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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