Tracey J. Harvey

1.6k total citations
47 papers, 1.2k citations indexed

About

Tracey J. Harvey is a scholar working on Molecular Biology, Genetics and Developmental Neuroscience. According to data from OpenAlex, Tracey J. Harvey has authored 47 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 12 papers in Genetics and 12 papers in Developmental Neuroscience. Recurrent topics in Tracey J. Harvey's work include Neurogenesis and neuroplasticity mechanisms (12 papers), MicroRNA in disease regulation (7 papers) and Epigenetics and DNA Methylation (7 papers). Tracey J. Harvey is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (12 papers), MicroRNA in disease regulation (7 papers) and Epigenetics and DNA Methylation (7 papers). Tracey J. Harvey collaborates with scholars based in Australia, United States and United Kingdom. Tracey J. Harvey's co-authors include Judith A. Clements, John D. Hooper, Michael Piper, Richard M. Gronostajski, Alexander A. Khromykh, Ying Dong, Stephen Myers, Linda K. Ashworth, Lachlan Harris and Itaru Anraku and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

In The Last Decade

Tracey J. Harvey

45 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tracey J. Harvey Australia 19 641 256 193 175 164 47 1.2k
Verônica Morandi Brazil 22 588 0.9× 102 0.4× 131 0.7× 174 1.0× 116 0.7× 46 1.4k
Robert Silvany United States 24 881 1.4× 70 0.3× 118 0.6× 142 0.8× 162 1.0× 27 2.0k
Karen Ehrenman United States 22 1.3k 2.0× 173 0.7× 137 0.7× 164 0.9× 195 1.2× 29 2.0k
Jingwei Yu China 20 1.6k 2.5× 88 0.3× 281 1.5× 359 2.1× 92 0.6× 54 2.2k
Karen Pepper United States 22 852 1.3× 224 0.9× 660 3.4× 60 0.3× 230 1.4× 35 1.4k
Christophe Duperray France 22 488 0.8× 121 0.5× 82 0.4× 111 0.6× 242 1.5× 49 1.5k
Peter C. Charles United States 23 542 0.8× 61 0.2× 149 0.8× 115 0.7× 264 1.6× 31 1.6k
Matthias Köhler Germany 19 1.6k 2.5× 53 0.2× 219 1.1× 278 1.6× 156 1.0× 37 2.2k
David Langlais Canada 21 686 1.1× 68 0.3× 201 1.0× 150 0.9× 194 1.2× 52 1.4k
Nihay Laham-Karam Finland 23 617 1.0× 54 0.2× 154 0.8× 165 0.9× 95 0.6× 62 1.7k

Countries citing papers authored by Tracey J. Harvey

Since Specialization
Citations

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

Fields of papers citing papers by Tracey J. Harvey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tracey J. Harvey. 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 Tracey J. Harvey. The network helps show where Tracey J. Harvey may publish in the future.

Co-authorship network of co-authors of Tracey J. Harvey

This figure shows the co-authorship network connecting the top 25 collaborators of Tracey J. Harvey. A scholar is included among the top collaborators of Tracey J. Harvey 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 Tracey J. Harvey. Tracey J. Harvey 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.
Balderson, Brad, et al.. (2024). Systematic analysis of the transcriptional landscape of melanoma reveals drug-target expression plasticity. Briefings in Functional Genomics. 24. 1 indexed citations
2.
Harvey, Tracey J., et al.. (2020). Expression of NFIA and NFIB within the murine spinal cord. Gene Expression Patterns. 35. 119098–119098. 4 indexed citations
3.
Brown, Alexander S., Oressia Zalucki, Lauren P. Shapiro, et al.. (2019). Common Regulatory Targets of NFIA, NFIX and NFIB during Postnatal Cerebellar Development. The Cerebellum. 19(1). 89–101. 18 indexed citations
4.
Brown, Alexander S., Ameet S. Sengar, YuShan Tu, et al.. (2018). Granule neuron precursor cell proliferation is regulated by NFIX and intersectin 1 during postnatal cerebellar development. Brain Structure and Function. 224(2). 811–827. 8 indexed citations
5.
Fane, Mitchell E., Yash Chhabra, Jacinta L. Simmons, et al.. (2017). NFIB Mediates BRN2 Driven Melanoma Cell Migration and Invasion Through Regulation of EZH2 and MITF. EBioMedicine. 16. 63–75. 69 indexed citations
6.
Chhabra, Yash, Tracey J. Harvey, Richard Wang, et al.. (2016). CRIM1 is necessary for coronary vascular endothelial cell development and homeostasis. Journal of Molecular Histology. 48(1). 53–61. 9 indexed citations
7.
Oishi, Sabrina, Tracey J. Harvey, Suzanne Alexander, et al.. (2016). Usp9x-deficiency disrupts the morphological development of the postnatal hippocampal dentate gyrus. Scientific Reports. 6(1). 25783–25783. 27 indexed citations
8.
Abraham, Sabu, Richard D. Bagshaw, Kathryn McMahon, et al.. (2015). A Rac/Cdc42 exchange factor complex promotes formation of lateral filopodia and blood vessel lumen morphogenesis. Nature Communications. 6(1). 7286–7286. 58 indexed citations
9.
Piper, Michael, Guy Barry, Tracey J. Harvey, et al.. (2014). NFIB-mediated repression of the epigenetic factor Ezh2 regulates cortical development. Queensland's institutional digital repository (The University of Queensland). 3 indexed citations
10.
Piper, Michael, Guy Barry, Tracey J. Harvey, et al.. (2014). NFIB-Mediated Repression of the Epigenetic FactorEzh2Regulates Cortical Development. Journal of Neuroscience. 34(8). 2921–2930. 61 indexed citations
11.
Zhou, Bo, Lachlan Harris, Tracey J. Harvey, et al.. (2014). NFIX Regulates Proliferation and Migration Within the Murine SVZ Neurogenic Niche. Cerebral Cortex. 25(10). 3758–3778. 33 indexed citations
12.
Harvey, Tracey J., et al.. (2013). Nuclear Factor One X Regulates Bobby Sox During Development of the Mouse Forebrain. Cellular and Molecular Neurobiology. 33(7). 867–873. 18 indexed citations
13.
McLeay, Robert C., Tracey J. Harvey, Aaron G. Smith, et al.. (2012). NFIX Regulates Neural Progenitor Cell Differentiation During Hippocampal Morphogenesis. Cerebral Cortex. 24(1). 261–279. 68 indexed citations
14.
Harvey, Tracey J., Lynette P. Steele, Nicola Ingram, et al.. (2010). Retargeted adenoviral cancer gene therapy for tumour cells overexpressing epidermal growth factor receptor or urokinase-type plasminogen activator receptor. Gene Therapy. 17(8). 1000–1010. 14 indexed citations
15.
Herd, Karen, Tracey J. Harvey, Alexander A. Khromykh, & Robert W. Tindle. (2004). Recombinant Kunjin virus replicon vaccines induce protective T-cell immunity against human papillomavirus 16 E7-expressing tumour. Virology. 319(2). 237–248. 31 indexed citations
16.
Harvey, Tracey J., Itaru Anraku, Richard Linedale, et al.. (2003). Kunjin Virus Replicon Vectors for Human Immunodeficiency Virus Vaccine Development. Journal of Virology. 77(14). 7796–7803. 45 indexed citations
17.
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19.
Harvey, Tracey J., John D. Hooper, Stephen Myers, et al.. (2000). Tissue-specific Expression Patterns and Fine Mapping of the Human Kallikrein (KLK) Locus on Proximal 19q13.4. Journal of Biological Chemistry. 275(48). 37397–37406. 121 indexed citations
20.
Blythe, H. J., et al.. (1964). Punched tape recorder for use in calorimetry. Cryogenics. 4(1). 28–35. 9 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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