Colin Farrell

1.1k total citations
30 papers, 544 citations indexed

About

Colin Farrell is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Colin Farrell has authored 30 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Genetics and 5 papers in Immunology. Recurrent topics in Colin Farrell's work include Epigenetics and DNA Methylation (13 papers), Genetic Syndromes and Imprinting (5 papers) and Trace Elements in Health (3 papers). Colin Farrell is often cited by papers focused on Epigenetics and DNA Methylation (13 papers), Genetic Syndromes and Imprinting (5 papers) and Trace Elements in Health (3 papers). Colin Farrell collaborates with scholars based in United States, Israel and United Kingdom. Colin Farrell's co-authors include Matteo Pellegrini, Sagi Snir, John D. Phillips, Anela Tosevska, Meriem Attaf, Michael J. Thompson, Inge Marie Svane, Garry Dolton, Alan L. Parker and Jamie Rossjohn and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Nature Immunology.

In The Last Decade

Colin Farrell

29 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Colin Farrell United States 13 307 148 106 96 42 30 544
Fei Ling China 13 305 1.0× 147 1.0× 84 0.8× 75 0.8× 42 1.0× 63 563
Hisashi Nojima Japan 14 346 1.1× 200 1.4× 100 0.9× 56 0.6× 39 0.9× 26 630
Max Ferretti United States 16 551 1.8× 191 1.3× 44 0.4× 55 0.6× 16 0.4× 26 813
Л. К. Савинкова Russia 16 349 1.1× 79 0.5× 30 0.3× 209 2.2× 41 1.0× 50 557
Natasha Jansz Australia 9 514 1.7× 112 0.8× 52 0.5× 170 1.8× 48 1.1× 13 763
П. М. Пономаренко Russia 16 324 1.1× 68 0.5× 29 0.3× 198 2.1× 43 1.0× 49 541
Tangliang Li China 14 488 1.6× 67 0.5× 101 1.0× 168 1.8× 54 1.3× 28 696
Eric A. Sherman United States 8 263 0.9× 107 0.7× 75 0.7× 176 1.8× 18 0.4× 9 449
Ivana Persico Italy 12 217 0.7× 63 0.4× 40 0.4× 194 2.0× 27 0.6× 23 457

Countries citing papers authored by Colin Farrell

Since Specialization
Citations

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

Fields of papers citing papers by Colin Farrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Colin Farrell

This figure shows the co-authorship network connecting the top 25 collaborators of Colin Farrell. A scholar is included among the top collaborators of Colin Farrell 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 Colin Farrell. Colin Farrell 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.
Schwartz, J.C., Colin Farrell, Graham Freimanis, et al.. (2024). A genome assembly and transcriptome atlas of the inbred Babraham pig to illuminate porcine immunogenetic variation. Immunogenetics. 76(5-6). 361–380. 1 indexed citations
2.
Ciullo, Alessandra, Liang Li, Chang Li, et al.. (2024). Non-coding RNA yREX3 from human extracellular vesicles exerts macrophage-mediated cardioprotection via a novel gene-methylating mechanism. European Heart Journal. 45(29). 2660–2673. 9 indexed citations
3.
4.
Farrell, Colin, et al.. (2024). Identifying epigenetic aging moderators using the epigenetic pacemaker. SHILAP Revista de lepidopterología. 3. 1308680–1308680. 1 indexed citations
5.
Morselli, Marco, Colin Farrell, Dennis Montoya, et al.. (2022). DNA methylation profiles in pneumonia patients reflect changes in cell types and pneumonia severity. Epigenetics. 17(12). 1646–1660. 9 indexed citations
6.
Farrell, Colin, et al.. (2022). A complex network of interactions governs DNA methylation at telomeric regions. Nucleic Acids Research. 50(3). 1449–1464. 5 indexed citations
7.
Fletcher, Leila R., Christine Scoffoni, Colin Farrell, et al.. (2022). Testing the association of relative growth rate and adaptation to climate across natural ecotypes of Arabidopsis. New Phytologist. 236(2). 413–432. 18 indexed citations
8.
Clark, Nathaniel E., Adam Katolik, Allison J. Taggart, et al.. (2022). Metal content and kinetic properties of yeast RNA lariat debranching enzyme Dbr1. RNA. 28(7). 927–936. 6 indexed citations
9.
Farrell, Colin, et al.. (2022). Pseudotime Analysis Reveals Exponential Trends in DNA Methylation Aging with Mortality Associated Timescales. Cells. 11(5). 767–767. 1 indexed citations
10.
Pinho, Gabriela Medeiros de, Julien G. A. Martin, Colin Farrell, et al.. (2022). Hibernation slows epigenetic ageing in yellow-bellied marmots. Nature Ecology & Evolution. 6(4). 418–426. 29 indexed citations
11.
Farrell, Colin, et al.. (2021). BiSulfite Bolt: A bisulfite sequencing analysis platform. GigaScience. 10(5). 42 indexed citations
12.
Larison, Brenda, Gabriela Medeiros de Pinho, Amin Haghani, et al.. (2021). Epigenetic models developed for plains zebras predict age in domestic horses and endangered equids. Communications Biology. 4(1). 1412–1412. 19 indexed citations
13.
Schwartz, J.C., Colin Farrell, John A. Hammond, et al.. (2021). Subpopulations of swine γδ T cells defined by TCRγ and WC1 gene expression. Developmental & Comparative Immunology. 125. 104214–104214. 13 indexed citations
14.
Nowicki, Theodore S., Colin Farrell, Marco Morselli, et al.. (2020). Epigenetic Suppression of Transgenic T-cell Receptor Expression via Gamma-Retroviral Vector Methylation in Adoptive Cell Transfer Therapy. Cancer Discovery. 10(11). 1645–1653. 9 indexed citations
15.
Crowther, Michael D., Garry Dolton, Mateusz Legut, et al.. (2020). Genome-wide CRISPR–Cas9 screening reveals ubiquitous T cell cancer targeting via the monomorphic MHC class I-related protein MR1. Nature Immunology. 21(2). 178–185. 166 indexed citations
16.
Morselli, Marco, et al.. (2020). Targeted bisulfite sequencing for biomarker discovery. Methods. 187. 13–27. 31 indexed citations
17.
Wu, Rimao, Feiyang Ma, Anela Tosevska, et al.. (2020). Cardiac fibroblast proliferation rates and collagen expression mature early and are unaltered with advancing age. JCI Insight. 5(24). 18 indexed citations
18.
Yaish, Hassan M., Colin Farrell, Robert D. Christensen, et al.. (2017). Two novel mutations in TMPRSS6 associated with iron-refractory iron deficiency anemia in a mother and child. Blood Cells Molecules and Diseases. 65. 38–40. 14 indexed citations
19.
Farrell, Colin, Jessica Overbey, Hetanshi Naik, et al.. (2016). The D519G Polymorphism of Glyceronephosphate O-Acyltransferase Is a Risk Factor for Familial Porphyria Cutanea Tarda. PLoS ONE. 11(9). e0163322–e0163322. 5 indexed citations
20.
Brennan, K. C., Colin Farrell, Susan Baggaley, et al.. (2014). Symptom Codes And Opioids: Disconcerting Headache Practice Patterns In Academic Primary Care. (S41.003). Neurology. 82(10_supplement). 1 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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2026