Kate Quinlan

4.2k total citations
63 papers, 2.5k citations indexed

About

Kate Quinlan is a scholar working on Molecular Biology, Genetics and Orthopedics and Sports Medicine. According to data from OpenAlex, Kate Quinlan has authored 63 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 22 papers in Genetics and 13 papers in Orthopedics and Sports Medicine. Recurrent topics in Kate Quinlan's work include Genetics and Physical Performance (16 papers), Sports Performance and Training (13 papers) and Kruppel-like factors research (13 papers). Kate Quinlan is often cited by papers focused on Genetics and Physical Performance (16 papers), Sports Performance and Training (13 papers) and Kruppel-like factors research (13 papers). Kate Quinlan collaborates with scholars based in Australia, United States and Japan. Kate Quinlan's co-authors include Merlin Crossley, Kathryn N. North, Beeke Wienert, Jane T. Seto, Gabriella E. Martyn, Daniel G. MacArthur, Nan Yang, Joanna M. Raftery, Alister P. W. Funnell and Peter J. Houweling and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Kate Quinlan

58 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kate Quinlan Australia 30 1.3k 1.1k 627 470 468 63 2.5k
Frances A. Lemckert Australia 21 753 0.6× 310 0.3× 146 0.2× 317 0.7× 55 0.1× 27 1.9k
Sulman Basit Saudi Arabia 21 931 0.7× 520 0.5× 57 0.1× 46 0.1× 142 0.3× 134 1.9k
Siu‐Pok Yee United States 28 1.8k 1.4× 895 0.8× 24 0.0× 142 0.3× 81 0.2× 59 2.7k
Pamela Dann United States 28 1.4k 1.0× 471 0.4× 347 0.6× 33 0.1× 33 0.1× 52 2.5k
Dean H. Betts Canada 35 1.6k 1.2× 567 0.5× 69 0.1× 26 0.1× 508 1.1× 99 3.0k
Éric Bieth France 24 1.1k 0.8× 690 0.6× 25 0.0× 112 0.2× 159 0.3× 72 2.1k
Eva Plovie United States 12 895 0.7× 218 0.2× 132 0.2× 591 1.3× 58 0.1× 17 1.6k
Kristina Vintersten Nagy Canada 12 1.6k 1.2× 604 0.5× 19 0.0× 105 0.2× 107 0.2× 25 2.3k
Ching‐Shwun Lin United States 25 1.1k 0.8× 666 0.6× 35 0.1× 29 0.1× 131 0.3× 56 2.5k
G. Ian Gallicano United States 28 1.4k 1.0× 311 0.3× 40 0.1× 156 0.3× 97 0.2× 57 2.3k

Countries citing papers authored by Kate Quinlan

Since Specialization
Citations

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

Fields of papers citing papers by Kate Quinlan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kate Quinlan

This figure shows the co-authorship network connecting the top 25 collaborators of Kate Quinlan. A scholar is included among the top collaborators of Kate Quinlan 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 Kate Quinlan. Kate Quinlan 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.
Felton, Jennifer M., Lee Edsall, Ty D. Troutman, et al.. (2025). Epigenetic and transcriptional programming of murine eosinophils in the esophagus. Nature Communications. 16(1). 10454–10454.
2.
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Feng, Ruopeng, Manan Shah, Yu Yao, et al.. (2025). Removal of promoter CpG methylation by epigenome editing reverses HBG silencing. Nature Communications. 16(1). 6919–6919.
4.
5.
Quinlan, Kate, et al.. (2024). Regulation of host metabolic health by parasitic helminths. Trends in Parasitology. 40(5). 386–400. 6 indexed citations
6.
Martyn, Gabriella E., et al.. (2024). Hydroxyurea reduces the levels of the fetal globin gene repressors ZBTB7A/LRF and BCL11A in erythroid cells in vitro. PubMed. 1(1). yoae008–yoae008. 1 indexed citations
7.
Feng, Ruopeng, Peng Huang, Gabriella E. Martyn, et al.. (2022). Disrupting the adult globin promoter alleviates promoter competition and reactivates fetal globin gene expression. Blood. 139(14). 2107–2118. 36 indexed citations
8.
Seto, Jane T., Kelly N. Roeszler, Manan Shah, et al.. (2021). ACTN3 genotype influences skeletal muscle mass regulation and response to dexamethasone. Science Advances. 7(27). 14 indexed citations
9.
Martyn, Gabriella E., Beeke Wienert, Ryo Kurita, et al.. (2019). A natural regulatory mutation in the proximal promoter elevates fetal globin expression by creating a de novo GATA1 site. Blood. 133(8). 852–856. 55 indexed citations
10.
Wienert, Beeke, Gabriella E. Martyn, Alister P. W. Funnell, Kate Quinlan, & Merlin Crossley. (2018). Wake-up Sleepy Gene: Reactivating Fetal Globin for β-Hemoglobinopathies. Trends in Genetics. 34(12). 927–940. 80 indexed citations
11.
Knights, Alexander J., Alister P. W. Funnell, Thomas J. Gonda, et al.. (2018). Partial reprogramming of heterologous cells by defined factors to generate megakaryocyte lineage-restricted biomolecules. Biotechnology Reports. 20. e00285–e00285. 3 indexed citations
12.
Summers, Matthew A., Thusitha Rupasinghe, Frances J. Evesson, et al.. (2017). Dietary intervention rescues myopathy associated with neurofibromatosis type 1. Human Molecular Genetics. 27(4). 577–588. 19 indexed citations
13.
Wienert, Beeke, Gabriella E. Martyn, Ryo Kurita, et al.. (2017). KLF1 drives the expression of fetal hemoglobin in British HPFH. Blood. 130(6). 803–807. 71 indexed citations
14.
Lee, Fiona X. Z., Peter J. Houweling, Kathryn N. North, & Kate Quinlan. (2016). How does α-actinin-3 deficiency alter muscle function? Mechanistic insights into ACTN3 , the ‘gene for speed’. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1863(4). 686–693. 54 indexed citations
15.
Wienert, Beeke, Alister P. W. Funnell, Laura J. Norton, et al.. (2015). Editing the genome to introduce a beneficial naturally occurring mutation associated with increased fetal globin. Nature Communications. 6(1). 7085–7085. 99 indexed citations
16.
Summers, Matthew A., Kate Quinlan, Jonathan M. Payne, et al.. (2015). Skeletal muscle and motor deficits in Neurofibromatosis Type 1.. PubMed Central. 15(2). 161–70. 36 indexed citations
17.
Westman, Belinda J., Mitchell R. O’Connell, Michael Webster, et al.. (2014). The Identification and Structure of an N-Terminal PR Domain Show that FOG1 Is a Member of the PRDM Family of Proteins. PLoS ONE. 9(8). e106011–e106011. 8 indexed citations
18.
Seto, Jane T., Monkol Lek, Kate Quinlan, et al.. (2011). Deficiency of α-actinin-3 is associated with increased susceptibility to contraction-induced damage and skeletal muscle remodeling. Human Molecular Genetics. 20(15). 2914–2927. 84 indexed citations
19.
Quinlan, Kate, Alexis Verger, Paul Yaswen, & Merlin Crossley. (2007). Amplification of zinc finger gene 217 (ZNF217) and cancer: When good fingers go bad. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1775(2). 333–340. 62 indexed citations
20.
Crofts, Linda, et al.. (2006). Human KLF17 is a new member of the Sp/KLF family of transcription factors. Genomics. 87(4). 474–482. 97 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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