Joanne M. Britto

1.4k total citations
28 papers, 992 citations indexed

About

Joanne M. Britto is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Joanne M. Britto has authored 28 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 10 papers in Developmental Neuroscience. Recurrent topics in Joanne M. Britto's work include Neurogenesis and neuroplasticity mechanisms (10 papers), Axon Guidance and Neuronal Signaling (9 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). Joanne M. Britto is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (10 papers), Axon Guidance and Neuronal Signaling (9 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). Joanne M. Britto collaborates with scholars based in Australia, United Kingdom and United States. Joanne M. Britto's co-authors include Geoffrey C. Nicholson, Anna Fenton, David Tannahill, Roger J. Keynes, Seong‐Seng Tan, William R. Holloway, Vicki E. Hammond, William D. Andrews, Sonja Rakić and Clare Faux and has published in prestigious journals such as Neuron, The EMBO Journal and Nature Neuroscience.

In The Last Decade

Joanne M. Britto

28 papers receiving 975 citations

Peers

Joanne M. Britto

CMN

ONCOL

GENET

Stuart A. Stein United States

Carmen Streicher Austria

Janine Davis United States

Sanja Ivković Serbia

David M. Feliciano United States

Vivian Capilla‐González Spain

Damiana Giacomini Argentina

Miriam E. van Strien Netherlands

Ana María Gonzalez United Kingdom

Josée Prud’homme Canada

Stuart A. Stein United States

Joanne M. Britto

524 ×1.0

251 ×1.1

CMN

83 ×0.4

ONCOL

272 ×1.2

182 ×1.2

GENET

Citations per year, relative to Joanne M. Britto Joanne M. Britto (= 1×) peers Stuart A. Stein

Countries citing papers authored by Joanne M. Britto

Since Specialization

Citations

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

Fields of papers citing papers by Joanne M. Britto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joanne M. Britto. 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 Joanne M. Britto. The network helps show where Joanne M. Britto may publish in the future.

Co-authorship network of co-authors of Joanne M. Britto

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

All Works

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20 of 20 papers shown

Kiss, Nicole, Brenton J. Baguley, Skye Marshall, et al.. (2024). Meaningful consumer involvement in cancer care: a systematic review on co-design methods and processes. JNCI Cancer Spectrum. 8(4). 7 indexed citations

Wardill, Hannah R., Yin Ting Cheung, Anna Boltong, et al.. (2022). ‘Share your views’—international consultation informs a patient engagement strategy for the Multinational Association of Supportive Care in Cancer. Supportive Care in Cancer. 30(12). 9953–9961. 5 indexed citations

Shin, Yea Seul, James G. Ryall, Joanne M. Britto, et al.. (2019). Inhibition of bioenergetics provides novel insights into recruitment of PINK1‐dependent neuronal mitophagy. Journal of Neurochemistry. 149(2). 269–283. 11 indexed citations

Cavanagh, Brenton, et al.. (2017). A method for isolating cortical interneurons sharing the same birthdays for gene expression studies. Experimental Neurology. 295. 36–45. 1 indexed citations

Li, Shanshan, Zhengdong Qu, Matilda Haas, et al.. (2016). The HSA21 gene EURL/C21ORF91 controls neurogenesis within the cerebral cortex and is implicated in the pathogenesis of Down Syndrome. Scientific Reports. 6(1). 29514–29514. 15 indexed citations

Krebs, Danielle L., Edmond M. Linossi, Jian‐Guo Zhang, et al.. (2015). Cortical Layer Inversion and Deregulation of Reelin Signaling in the Absence of SOCS6 and SOCS7. Cerebral Cortex. 27(1). bhv253–bhv253. 15 indexed citations

Hughes, Barry D., et al.. (2014). An In Silico Agent-Based Model Demonstrates Reelin Function in Directing Lamination of Neurons during Cortical Development. PLoS ONE. 9(10). e110415–e110415. 15 indexed citations

Hammond, Vicki E., Jenny M. Gunnersen, Choo‐Peng Goh, et al.. (2013). Ndfip1 Is Required for the Development of Pyramidal Neuron Dendrites and Spines in the Neocortex. Cerebral Cortex. 24(12). 3289–3300. 10 indexed citations

Tsunekawa, Yuji, Joanne M. Britto, Masanori Takahashi, et al.. (2012). Cyclin D2 in the basal process of neural progenitors is linked to non‐equivalent cell fates. The EMBO Journal. 31(8). 1879–1892. 86 indexed citations

10.

Faux, Clare, Sonja Rakić, William D. Andrews, & Joanne M. Britto. (2012). Neurons on the Move: Migration and Lamination of Cortical Interneurons. Neurosignals. 20(3). 168–189. 58 indexed citations

11.

Britto, Joanne M., et al.. (2010). Altered Speeds and Trajectories of Neurons Migrating in the Ventricular and Subventricular Zones of the Reeler Neocortex. Cerebral Cortex. 21(5). 1018–1027. 25 indexed citations

12.

Hammond, Vicki E., et al.. (2010). Cortical Layer Development and Orientation is Modulated by Relative Contributions of Reelin-Negative and -Positive Neurons in Mouse Chimeras. Cerebral Cortex. 20(9). 2017–2026. 6 indexed citations

13.

Britto, Joanne M., Leigh A. Johnston, & Seong‐Seng Tan. (2009). The Stochastic Search Dynamics of Interneuron Migration. Biophysical Journal. 97(3). 699–709. 14 indexed citations

14.

Johnston, Leigh A., Edwin B. Yan, Joanne M. Britto, et al.. (2009). Biomechanisms for modelling cerebral cortical folding. Medical Image Analysis. 13(6). 920–930. 26 indexed citations

15.

Gunnersen, Jenny M., Stephanie Fuller, Melanie de Silva, et al.. (2007). Sez-6 Proteins Affect Dendritic Arborization Patterns and Excitability of Cortical Pyramidal Neurons. Neuron. 56(4). 621–639. 104 indexed citations

16.

Britto, Joanne M., Kunihiko Obata, Yuchio Yanagawa, & Seong‐Seng Tan. (2006). Migratory Response of Interneurons to Different Regions of the Developing Neocortex. Cerebral Cortex. 16(suppl_1). i57–i63. 11 indexed citations

17.

Britto, Joanne M., David Tannahill, & Roger J. Keynes. (2002). A critical role for sonic hedgehog signaling in the early expansion of the developing brain. Nature Neuroscience. 5(2). 103–110. 98 indexed citations

18.

Tannahill, David, et al.. (2000). Orienting axon growth. The International Journal of Developmental Biology. 44(1). 1 indexed citations

19.

Tannahill, David, et al.. (2000). Orienting axon growth: spinal nerve segmentation and surround-repulsion. The International Journal of Developmental Biology. 44(1). 119–127. 14 indexed citations

20.

Fenton, Anna, Bruce E. Kemp, G.N. Kent, et al.. (1991). A Carboxyl-Terminal Peptide from the Parathyroid Hormone-Related Protein Inhibits Bone Resorption by Osteoclasts*. Endocrinology. 129(4). 1762–1768. 129 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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