Jane Quinn

2.9k total citations
65 papers, 1.5k citations indexed

About

Jane Quinn is a scholar working on Molecular Biology, Plant Science and Agronomy and Crop Science. According to data from OpenAlex, Jane Quinn has authored 65 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 16 papers in Plant Science and 15 papers in Agronomy and Crop Science. Recurrent topics in Jane Quinn's work include Plant Toxicity and Pharmacological Properties (10 papers), Weed Control and Herbicide Applications (9 papers) and Agronomic Practices and Intercropping Systems (8 papers). Jane Quinn is often cited by papers focused on Plant Toxicity and Pharmacological Properties (10 papers), Weed Control and Herbicide Applications (9 papers) and Agronomic Practices and Intercropping Systems (8 papers). Jane Quinn collaborates with scholars based in Australia, United Kingdom and United States. Jane Quinn's co-authors include John D. West, Robert E. Hill, David J. Price, J. Martin Collinson, Leslie A. Weston, Ben Martynoga, Michael Molinek, Wayne Knibb, Nguyen Hong Nguyen and John O. Mason and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Genes & Development.

In The Last Decade

Jane Quinn

65 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane Quinn Australia 20 899 335 199 164 155 65 1.5k
Toshiaki Miyadai Japan 16 495 0.6× 506 1.5× 20 0.1× 38 0.2× 104 0.7× 51 1.5k
Horacio Merchant‐Larios Mexico 33 1.3k 1.5× 1.4k 4.3× 91 0.5× 14 0.1× 136 0.9× 138 3.3k
David C. Merz United States 22 490 0.5× 199 0.6× 78 0.4× 71 0.4× 160 1.0× 35 1.5k
Margaret M. Perry United Kingdom 29 1.4k 1.6× 913 2.7× 32 0.2× 38 0.2× 121 0.8× 60 2.8k
Masaoki Tsudzuki Japan 27 705 0.8× 1.0k 3.0× 21 0.1× 25 0.2× 312 2.0× 140 2.2k
Zhuangzhi Zhang China 26 413 0.5× 108 0.3× 303 1.5× 19 0.1× 61 0.4× 71 1.6k
Tessa G. Montague United States 12 2.8k 3.2× 570 1.7× 51 0.3× 20 0.1× 331 2.1× 16 3.5k
Michael J. McGrew United Kingdom 24 2.5k 2.8× 1.3k 4.0× 54 0.3× 26 0.2× 189 1.2× 37 2.9k
Brent W. Bisgrove United States 24 1.7k 1.9× 772 2.3× 43 0.2× 13 0.1× 272 1.8× 29 2.5k
Alena Shkumatava France 19 3.2k 3.5× 416 1.2× 56 0.3× 27 0.2× 381 2.5× 29 3.7k

Countries citing papers authored by Jane Quinn

Since Specialization
Citations

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

Fields of papers citing papers by Jane Quinn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Quinn

This figure shows the co-authorship network connecting the top 25 collaborators of Jane Quinn. A scholar is included among the top collaborators of Jane Quinn 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 Jane Quinn. Jane Quinn 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.
Cusack, PMV, et al.. (2023). Detection of Ureaplasma diversum in the upper airways of Australian feedlot cattle. Australian Veterinary Journal. 101(6). 254–257. 2 indexed citations
2.
Williams, Thomas, et al.. (2022). Efficiency‐corrected PCR quantification for identification of prevalence and load of respiratory disease‐causing agents in feedlot cattle. Australian Veterinary Journal. 100(11). 539–549. 4 indexed citations
3.
Saliba, Anthony, et al.. (2022). Barriers to Utilizing Non-replacement Male Calves in the Australian Dairy Industry: A Qualitative Study. Frontiers in Veterinary Science. 8. 800388–800388. 10 indexed citations
4.
Zhu, Xiaocheng, et al.. (2021). Genotypic identification of Panicum spp. in New South Wales, Australia using DNA barcoding. Scientific Reports. 11(1). 16055–16055. 7 indexed citations
5.
Narayan, Edward, et al.. (2019). Timed environmental exposure indicates sample stability for reliable noninvasive measurement of fecal cortisol metabolite concentrations in sheep. Domestic Animal Endocrinology. 72. 106423–106423. 4 indexed citations
6.
Weston, Paul A., et al.. (2019). Chemometric analysis of Amaranthus retroflexus in relation to livestock toxicity in southern Australia. Phytochemistry. 161. 1–10. 8 indexed citations
7.
Nguyen, Nguyen Hong, Quinn P. Fitzgibbon, Jane Quinn, et al.. (2018). Can metamorphosis survival during larval development in spiny lobster Sagmariasus verreauxi be improved through quantitative genetic inheritance?. BMC Genetics. 19(1). 27–27. 10 indexed citations
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Knibb, Wayne, et al.. (2015). Yearly, pond, lineage and family variation of hepatopancreatic parvo-like virus (HPV) copy number in banana shrimp Fenneropenaeus merguiensis. Journal of Invertebrate Pathology. 128. 73–79. 13 indexed citations
11.
Shapcott, Alison, Jane Quinn, & Mijoro Rakotoarinivo. (2014). Two of Madagascar’s Most Threatened Palms: Voanioala gerardii and Lemurophoenix halleuxii. USC Research Bank (University of the Sunshine Coast). 1 indexed citations
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Quinn, Jane, Michael Molinek, Tomasz J. Nowakowski, John O. Mason, & David J. Price. (2010). Novel lines of Pax6-/- embryonic stem cells exhibit reduced neurogenic capacity without loss of viability. BMC Neuroscience. 11(1). 26–26. 11 indexed citations
15.
Quinn, Jane, Michael Molinek, John O. Mason, & David J. Price. (2008). Gli3 is required autonomously for dorsal telencephalic cells to adopt appropriate fates during embryonic forebrain development. Developmental Biology. 327(1). 204–215. 15 indexed citations
16.
Quinn, Jane, Michael Molinek, Ben Martynoga, et al.. (2006). Pax6 controls cerebral cortical cell number by regulating exit from the cell cycle and specifies cortical cell identity by a cell autonomous mechanism. Developmental Biology. 302(1). 50–65. 187 indexed citations
17.
Zaki, Paulette A., et al.. (2006). Penetrance of eye defects in mice heterozygous for mutation of Gli3 is enhanced by heterozygous mutation of Pax6. BMC Developmental Biology. 6(1). 46–46. 12 indexed citations
18.
Faedo, Andrea, Jane Quinn, Patrick N. Stoney, et al.. (2004). Identification and characterization of a novel transcript down‐regulated in Dlx1/Dlx2 and up‐regulated in Pax6 mutant telencephalon. Developmental Dynamics. 231(3). 614–620. 19 indexed citations
19.
Pratt, Thomas, Jane Quinn, T. Ian Simpson, et al.. (2002). Disruption of Early Events in Thalamocortical Tract Formation in Mice Lacking the Transcription Factors Pax6 or Foxg1. Journal of Neuroscience. 22(19). 8523–8531. 37 indexed citations
20.
Quinn, Jane, John D. West, & M. H. Kaufman. (1997). Genetic background effects on dental and other craniofacial abnormalities in homozygous small eye ( Pax6 Sey /Pax6 Sey ) mice. Anatomy and Embryology. 196(4). 311–321. 30 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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