James Breen

5.9k total citations
139 papers, 3.2k citations indexed

About

James Breen is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, James Breen has authored 139 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 22 papers in Genetics and 17 papers in Plant Science. Recurrent topics in James Breen's work include Plant Disease Resistance and Genetics (9 papers), Wheat and Barley Genetics and Pathology (9 papers) and Toxic Organic Pollutants Impact (8 papers). James Breen is often cited by papers focused on Plant Disease Resistance and Genetics (9 papers), Wheat and Barley Genetics and Pathology (9 papers) and Toxic Organic Pollutants Impact (8 papers). James Breen collaborates with scholars based in Australia, United States and Switzerland. James Breen's co-authors include D. M. Willberg, Ahmed H. Zewail, Michael Gutmann, Thomas Wicker, Claire T. Roberts, Tina Bianco‐Miotto, Robert D. Neubecker, Caterina A. Gregori, Alan Cooper and Benjamin Mayne and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Chemical Physics.

In The Last Decade

James Breen

133 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Breen Australia 30 819 794 500 418 365 139 3.2k
László Kovács Hungary 47 3.7k 4.6× 1.5k 1.9× 431 0.9× 434 1.0× 569 1.6× 305 8.2k
Takehiro Suzuki Japan 43 4.7k 5.8× 709 0.9× 273 0.5× 464 1.1× 396 1.1× 274 7.5k
Bjørn Panyella Pedersen Denmark 27 2.2k 2.7× 665 0.8× 69 0.1× 204 0.5× 133 0.4× 58 3.7k
John Mathai India 27 1.6k 1.9× 154 0.2× 227 0.5× 151 0.4× 137 0.4× 124 3.4k
James L. McManaman United States 46 2.9k 3.5× 290 0.4× 67 0.1× 846 2.0× 296 0.8× 106 6.9k
David J. Orlicky United States 49 2.9k 3.6× 456 0.6× 63 0.1× 455 1.1× 200 0.5× 217 7.5k
Ivan L. Cameron United States 39 1.9k 2.3× 297 0.4× 164 0.3× 324 0.8× 106 0.3× 169 5.0k
Hiroshi Ishikawa Japan 40 2.0k 2.5× 267 0.3× 52 0.1× 536 1.3× 304 0.8× 406 6.3k
Edward P. Morris United Kingdom 50 4.7k 5.7× 513 0.6× 483 1.0× 413 1.0× 496 1.4× 131 7.2k
Meirong Du China 40 740 0.9× 76 0.1× 368 0.7× 108 0.3× 302 0.8× 164 4.8k

Countries citing papers authored by James Breen

Since Specialization
Citations

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

Fields of papers citing papers by James Breen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Breen

This figure shows the co-authorship network connecting the top 25 collaborators of James Breen. A scholar is included among the top collaborators of James Breen 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 Breen. James Breen 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.
Kaphle, Anubhav, Natalie A. Twine, Yuwan Malakar, et al.. (2024). Future-proofing genomic data and consent management: a comprehensive review of technology innovations. GigaScience. 13. 7 indexed citations
2.
Schjenken, John E., James Breen, Hon Y. Chan, et al.. (2024). RNA sequencing reveals molecular mechanisms of endometriosis lesion development in mice. Disease Models & Mechanisms. 17(10).
3.
Leemaqz, Shalem, Tanja Jankovic‐Karasoulos, Dale McAninch, et al.. (2023). DraculR: A Web-Based Application for In Silico Haemolysis Detection in High-Throughput microRNA Sequencing Data. Genes. 14(2). 448–448. 1 indexed citations
4.
Heatley, Susan L., Laura N Eadie, Barbara J. McClure, et al.. (2023). Reproducible Bioinformatics Analysis Workflows for Detecting IGH Gene Fusions in B-Cell Acute Lymphoblastic Leukaemia Patients. Cancers. 15(19). 4731–4731. 5 indexed citations
5.
Eadie, Laura N, James Breen, Michael Osborn, et al.. (2023). Case Report: Rare IKZF1 Gene Fusions Identified in Neonate with Congenital KMT2A-Rearranged Acute Lymphoblastic Leukemia. Genes. 14(2). 264–264. 1 indexed citations
6.
Breen, James, Barbara Nicol, Natalie J. Foot, et al.. (2023). Progesterone receptor mediates ovulatory transcription through RUNX transcription factor interactions and chromatin remodelling. Nucleic Acids Research. 51(12). 5981–5996. 13 indexed citations
7.
Liu, Ning, Rick Tearle, Wai Yee Low, et al.. (2023). Topologically associating domains in the POLLED region are the same for Angus‐ and Brahman‐specific Hi‐C reads from F1 hybrid fetal tissue. Animal Genetics. 54(4). 536–543. 1 indexed citations
8.
Mäkinen, Ville‐Petteri, et al.. (2022). Multi-Cohort Transcriptomic Subtyping of B-Cell Acute Lymphoblastic Leukemia. International Journal of Molecular Sciences. 23(9). 4574–4574. 10 indexed citations
9.
Leemaqz, Shalem, Tanja Jankovic‐Karasoulos, Dale McAninch, et al.. (2022). Haemolysis Detection in MicroRNA-Seq from Clinical Plasma Samples. Genes. 13(7). 1288–1288. 13 indexed citations
10.
Souzeau, Emmanuelle, Owen M. Siggs, Sean Mullany, et al.. (2022). Diagnostic yield of candidate genes in an Australian corneal dystrophy cohort. Molecular Genetics & Genomic Medicine. 10(10). e2023–e2023. 4 indexed citations
11.
Dini, Pouya, Ted Kalbfleisch, Mariano Carossino, et al.. (2021). Parental bias in expression and interaction of genes in the equine placenta. Proceedings of the National Academy of Sciences. 118(16). 13 indexed citations
12.
Wang, Yao, et al.. (2021). Podocalyxin promotes an impermeable epithelium and inhibits pro-implantation factors to negatively regulate endometrial receptivity. Scientific Reports. 11(1). 24016–24016. 6 indexed citations
13.
McClure, Barbara J., et al.. (2021). Acquired JAK2 mutations confer resistance to JAK inhibitors in cell models of acute lymphoblastic leukemia. npj Precision Oncology. 5(1). 75–75. 14 indexed citations
14.
Pillman, Katherine A., Tanja Jankovic‐Karasoulos, Dale McAninch, et al.. (2021). Large-scale transcriptome-wide profiling of microRNAs in human placenta and maternal plasma at early to mid gestation. RNA Biology. 18(sup1). 507–520. 22 indexed citations
16.
Weyrich, Laura S., Andrew G. Farrer, Raphael Eisenhofer, et al.. (2019). Laboratory contamination over time during low‐biomass sample analysis. Molecular Ecology Resources. 19(4). 982–996. 162 indexed citations
17.
Singhal, Gaurav, Julie Morgan, Magdalene C. Jawahar, et al.. (2019). The effects of short-term and long-term environmental enrichment on locomotion, mood-like behavior, cognition and hippocampal gene expression. Behavioural Brain Research. 368. 111917–111917. 31 indexed citations
18.
Morgan, Julie, Gaurav Singhal, Frances Corrigan, et al.. (2019). Ceasing exercise induces depression-like, anxiety-like, and impaired cognitive-like behaviours and altered hippocampal gene expression. Brain Research Bulletin. 148. 118–130. 18 indexed citations
19.
Simões, Bruno F., Julian C. Partridge, David M. Hunt, et al.. (2019). Phototactic tails: Evolution and molecular basis of a novel sensory trait in sea snakes. Molecular Ecology. 28(8). 2013–2028. 13 indexed citations
20.
Breen, James, et al.. (1977). Placenta accreta, increta, and percreta. A survey of 40 cases.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 49(1). 43–7. 158 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026