James Ireland

3.7k total citations · 2 hit papers
13 papers, 2.8k citations indexed

About

James Ireland is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, James Ireland has authored 13 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Genetics and 2 papers in Pathology and Forensic Medicine. Recurrent topics in James Ireland's work include Genetic Associations and Epidemiology (5 papers), Gene expression and cancer classification (4 papers) and Molecular Biology Techniques and Applications (3 papers). James Ireland is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Gene expression and cancer classification (4 papers) and Molecular Biology Techniques and Applications (3 papers). James Ireland collaborates with scholars based in United States, United Kingdom and Canada. James Ireland's co-authors include Eric S. Lander, Michele Cargill, Shelli Farhadian, Daniel J. Richter, Stacey Bolk, David Reich, Ryk Ward, Pardis C. Sabeti, David Altshuler and Pamela Sklar and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

James Ireland

13 papers receiving 2.7k citations

Hit Papers

Characterization of single-nucleotide polymorphisms in co... 1999 2026 2008 2017 1999 2001 400 800 1.2k

Peers

James Ireland
Dean Nižetić United Kingdom
Liuda Ziaugra United States
Dennis G. Ballinger United States
Daniela T. Pilz United Kingdom
Tony Cox United Kingdom
Dean Nižetić United Kingdom
James Ireland
Citations per year, relative to James Ireland James Ireland (= 1×) peers Dean Nižetić

Countries citing papers authored by James Ireland

Since Specialization
Citations

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

Fields of papers citing papers by James Ireland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Ireland

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

All Works

13 of 13 papers shown
1.
Faham, Malek, Victoria Carlton, Martin Moorhead, et al.. (2016). Discovery of T Cell Receptor β Motifs Specific to HLA–B27–Positive Ankylosing Spondylitis by Deep Repertoire Sequence Analysis. Arthritis & Rheumatology. 69(4). 774–784. 71 indexed citations
2.
Kim, Doris, YounJeong Choi, James Ireland, et al.. (2016). Development and Application of a Microfluidics-Based Panel in the Basal/Luminal Transcriptional Characterization of Archival Bladder Cancers. PLoS ONE. 11(11). e0165856–e0165856. 1 indexed citations
3.
Nautiyal, Shivani, Victoria Carlton, Yontao Lu, et al.. (2010). High-throughput method for analyzing methylation of CpGs in targeted genomic regions. Proceedings of the National Academy of Sciences. 107(28). 12587–12592. 26 indexed citations
4.
Zheng, Jianbiao, Martin Moorhead, Li Weng, et al.. (2009). High-throughput, high-accuracy array-based resequencing. Proceedings of the National Academy of Sciences. 106(16). 6712–6717. 14 indexed citations
5.
Wang, Yuker, Martin Moorhead, George Karlin‐Neumann, et al.. (2008). Performance of Molecular Inversion Probes (MIP) in Allele Copy Number Determination. eScholarship (California Digital Library). 1 indexed citations
6.
Zheng, Jianbiao, Eugeni Namsaraev, Victoria Carlton, et al.. (2008). Rapid identification of somatic mutations in colorectal and breast cancer tissues using mismatch repair detection (MRD). Human Mutation. 29(3). 441–450. 20 indexed citations
7.
Wang, Yuker, Martin Moorhead, George Karlin‐Neumann, et al.. (2007). Analysis of molecular inversion probe performance for allele copy number determination. Genome biology. 8(11). R246–R246. 55 indexed citations
8.
Carlton, Victoria, et al.. (2006). Functional single nucleotide polymorphism-based association studies. Human Genomics. 2(6). 391–391. 26 indexed citations
9.
Ireland, James, Victoria Carlton, Martin Moorhead, et al.. (2005). Large-scale characterization of public database SNPs causing non-synonymous changes in three ethnic groups. Human Genetics. 119(1-2). 75–83. 11 indexed citations
10.
Moorhead, Martin, Paul Hardenbol, Farooq Siddiqui, et al.. (2005). Optimal genotype determination in highly multiplexed SNP data. European Journal of Human Genetics. 14(2). 207–215. 25 indexed citations
11.
Reich, David, Michele Cargill, Stacey Bolk, et al.. (2001). Linkage disequilibrium in the human genome. Nature. 411(6834). 199–204. 1251 indexed citations breakdown →
12.
Reich, David, Michele Cargill, Stacey Bolk, et al.. (2001). Reich, D. E., Cargill, M. and Bolk, S. et al.. Linkage disequilibrium in the human genome. Nature, 411: 199-204. 55 indexed citations
13.
Cargill, Michele, David Altshuler, James Ireland, et al.. (1999). Characterization of single-nucleotide polymorphisms in coding regions of human genes. Nature Genetics. 22(3). 231–238. 1266 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026