Eoghan Harrington

16.4k total citations
18 papers, 709 citations indexed

About

Eoghan Harrington is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Eoghan Harrington has authored 18 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Ecology and 4 papers in Plant Science. Recurrent topics in Eoghan Harrington's work include Genomics and Phylogenetic Studies (12 papers), Microbial Community Ecology and Physiology (5 papers) and RNA and protein synthesis mechanisms (5 papers). Eoghan Harrington is often cited by papers focused on Genomics and Phylogenetic Studies (12 papers), Microbial Community Ecology and Physiology (5 papers) and RNA and protein synthesis mechanisms (5 papers). Eoghan Harrington collaborates with scholars based in Germany, United States and Spain. Eoghan Harrington's co-authors include Peer Bork, Jeroen Raes, Christian von Mering, Mikita Suyama, Sissel Juul, David A. Relman, Stephen R. Quake, Paul C. Blainey, Sünje Johanna Pamp and Xiaoguang Dai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Eoghan Harrington

18 papers receiving 694 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eoghan Harrington Germany 15 551 213 158 127 47 18 709
Doina Ciobanu United States 13 615 1.1× 150 0.7× 309 2.0× 110 0.9× 18 0.4× 21 888
José Miguel Ortega Brazil 16 492 0.9× 85 0.4× 141 0.9× 74 0.6× 27 0.6× 63 764
Michael Nute United States 10 400 0.7× 99 0.5× 68 0.4× 69 0.5× 24 0.5× 16 598
Rebekah Woolsey United States 12 569 1.0× 157 0.7× 273 1.7× 31 0.2× 64 1.4× 15 836
Antoon Lievens Belgium 13 480 0.9× 72 0.3× 210 1.3× 80 0.6× 30 0.6× 23 655
Alexandros A. Pittis Spain 10 447 0.8× 191 0.9× 114 0.7× 52 0.4× 26 0.6× 10 644
Vern Winston United States 11 326 0.6× 280 1.3× 162 1.0× 77 0.6× 50 1.1× 24 667
João Carneiro Portugal 13 423 0.8× 120 0.6× 44 0.3× 176 1.4× 19 0.4× 34 660
Fujun Shen China 16 332 0.6× 183 0.9× 49 0.3× 256 2.0× 21 0.4× 56 647
Li‐Chin Tsai Taiwan 18 551 1.0× 314 1.5× 59 0.4× 460 3.6× 17 0.4× 49 933

Countries citing papers authored by Eoghan Harrington

Since Specialization
Citations

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

Fields of papers citing papers by Eoghan Harrington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eoghan Harrington

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

All Works

18 of 18 papers shown
1.
Choi, Jae Young, Xiaoguang Dai, Ornob Alam, et al.. (2021). Ancestral polymorphisms shape the adaptive radiation ofMetrosiderosacross the Hawaiian Islands. Proceedings of the National Academy of Sciences. 118(37). 29 indexed citations
2.
Beaulaurier, John, Elaine Luo, John M. Eppley, et al.. (2020). Assembly-free single-molecule sequencing recovers complete virus genomes from natural microbial communities. Genome Research. 30(3). 437–446. 78 indexed citations
3.
Choi, Jae Young, Simon C. Groen, Xiaoguang Dai, et al.. (2020). Nanopore sequencing-based genome assembly and evolutionary genomics of circum-basmati rice. Genome biology. 21(1). 21–21. 64 indexed citations
4.
Burton, Aaron S., Sarah E. Stahl, Kristen K. John, et al.. (2020). Off Earth Identification of Bacterial Populations Using 16S rDNA Nanopore Sequencing. Genes. 11(1). 76–76. 43 indexed citations
5.
Pamp, Sünje Johanna, Eoghan Harrington, Stephen R. Quake, David A. Relman, & Paul C. Blainey. (2012). Single-cell sequencing provides clues about the host interactions of segmented filamentous bacteria (SFB). Genome Research. 22(6). 1107–1119. 88 indexed citations
6.
Arumugam, Manimozhiyan, Eoghan Harrington, Konrad Foerstner, Jeroen Raes, & Peer Bork. (2010). SmashCommunity: a metagenomic annotation and analysis tool. Bioinformatics. 26(23). 2977–2978. 62 indexed citations
7.
Harrington, Eoghan, Manimozhiyan Arumugam, Jeroen Raes, Peer Bork, & David A. Relman. (2010). SmashCell: a software framework for the analysis of single-cell amplified genome sequences. Bioinformatics. 26(23). 2979–2980. 17 indexed citations
8.
Suyama, Mikita, et al.. (2010). A network of conserved co-occurring motifs for the regulation of alternative splicing. Nucleic Acids Research. 38(22). 7916–7926. 10 indexed citations
9.
Harrington, Eoghan, Lars Juhl Jensen, & Peer Bork. (2008). Predicting biological networks from genomic data. FEBS Letters. 582(8). 1251–1258. 29 indexed citations
10.
Hooper, Sean, Jeroen Raes, Konrad Foerstner, et al.. (2008). A Molecular Study of Microbe Transfer between Distant Environments. PLoS ONE. 3(7). e2607–e2607. 18 indexed citations
11.
Pallejá, Albert, Eoghan Harrington, & Peer Bork. (2008). Large gene overlaps in prokaryotic genomes: result of functional constraints or mispredictions?. BMC Genomics. 9(1). 335–335. 46 indexed citations
12.
Harrington, Eoghan & Peer Bork. (2008). Sircah: a tool for the detection and visualization of alternative transcripts. Bioinformatics. 24(17). 1959–1960. 9 indexed citations
13.
Harrington, Eoghan, Amoolya H. Singh, Tobias Doerks, et al.. (2007). Quantitative assessment of protein function prediction from metagenomics shotgun sequences. Proceedings of the National Academy of Sciences. 104(35). 13913–13918. 58 indexed citations
14.
Raes, Jeroen, Eoghan Harrington, Amoolya H. Singh, & Peer Bork. (2007). Protein function space: viewing the limits or limited by our view?. Current Opinion in Structural Biology. 17(3). 362–369. 26 indexed citations
15.
Suyama, Mikita, Eoghan Harrington, Peer Bork, & David Torrents. (2006). Identification and Analysis of Genes and Pseudogenes within Duplicated Regions in the Human and Mouse Genomes. PLoS Computational Biology. 2(6). e76–e76. 21 indexed citations
16.
Ciccarelli, Francesca D., Christian von Mering, Mikita Suyama, et al.. (2005). Complex genomic rearrangements lead to novel primate gene function. Genome Research. 15(3). 343–351. 94 indexed citations
17.
Suyama, Mikita, et al.. (2005). Identification and analysis of genes and pseudogenes within duplicated regions in the human and mouse genomes. PLoS Computational Biology. preprint(2006). e76–e76. 3 indexed citations
18.
Harrington, Eoghan, Stéphanie Boué, Juan Valcárcel, J. Reich, & Peer Bork. (2004). Estimating rates of alternative splicing in mammals and invertebrates. Nature Genetics. 36(9). 916–917. 14 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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