Joanna M. Williams

2.4k total citations
65 papers, 1.9k citations indexed

About

Joanna M. Williams is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Joanna M. Williams has authored 65 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 33 papers in Cellular and Molecular Neuroscience and 16 papers in Cancer Research. Recurrent topics in Joanna M. Williams's work include Neuroscience and Neuropharmacology Research (29 papers), MicroRNA in disease regulation (14 papers) and Memory and Neural Mechanisms (9 papers). Joanna M. Williams is often cited by papers focused on Neuroscience and Neuropharmacology Research (29 papers), MicroRNA in disease regulation (14 papers) and Memory and Neural Mechanisms (9 papers). Joanna M. Williams collaborates with scholars based in New Zealand, Australia and United States. Joanna M. Williams's co-authors include Wickliffe C. Abraham, Warren P. Tate, Diane Guévremont, Sara E. Mason‐Parker, Jerome Demmer, S.E. Mason, P. Lawlor, Mike Dragunow, Bruce G. Mockett and Brigid Ryan and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Joanna M. Williams

64 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joanna M. Williams New Zealand 25 1.0k 844 490 341 289 65 1.9k
Mark Webber Ireland 17 1.3k 1.2× 788 0.9× 372 0.8× 766 2.2× 179 0.6× 21 2.5k
Debabrata Panja Norway 16 725 0.7× 703 0.8× 261 0.5× 156 0.5× 153 0.5× 22 1.5k
Gian Carlo Bellenchi Italy 23 1.3k 1.3× 1.1k 1.3× 397 0.8× 237 0.7× 157 0.5× 42 2.3k
Mary Elizabeth Bach United States 7 1.5k 1.4× 1.4k 1.7× 765 1.6× 335 1.0× 388 1.3× 7 2.8k
Zsuzsanna Callaerts‐Vegh Belgium 25 767 0.7× 919 1.1× 327 0.7× 575 1.7× 223 0.8× 66 2.0k
Shera Kash United States 18 1.2k 1.2× 1.0k 1.2× 472 1.0× 416 1.2× 148 0.5× 27 2.5k
Karin Wibrand Norway 17 637 0.6× 697 0.8× 236 0.5× 180 0.5× 126 0.4× 22 1.4k
Jakob von Engelhardt Germany 25 1.5k 1.5× 1.2k 1.4× 552 1.1× 311 0.9× 352 1.2× 45 2.5k
Eric F. Schmidt United States 20 1.2k 1.2× 1.2k 1.5× 427 0.9× 175 0.5× 269 0.9× 30 2.5k
Peter Vanhoutte France 27 2.1k 2.0× 1.9k 2.2× 492 1.0× 313 0.9× 319 1.1× 46 3.3k

Countries citing papers authored by Joanna M. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Joanna M. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joanna M. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Joanna M. Williams. A scholar is included among the top collaborators of Joanna M. Williams 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 Joanna M. Williams. Joanna M. Williams 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.
Guévremont, Diane, Joyeeta Roy, Nicholas J. Cutfield, & Joanna M. Williams. (2023). MicroRNAs in Parkinson’s disease: a systematic review and diagnostic accuracy meta-analysis. Scientific Reports. 13(1). 16272–16272. 15 indexed citations
2.
Ryan, Brigid, et al.. (2022). The New Zealand Genetic Frontotemporal Dementia Study (FTDGeNZ): a longitudinal study of pre‐symptomatic biomarkers. Journal of the Royal Society of New Zealand. 53(4). 511–531.
3.
Tippett, Lynette J., Erin E. Cawston, Catherine Morgan, et al.. (2022). Dementia Prevention Research Clinic: a longitudinal study investigating factors influencing the development of Alzheimer's disease in Aotearoa, New Zealand. Journal of the Royal Society of New Zealand. 53(4). 489–510. 2 indexed citations
4.
Guévremont, Diane, Robert G. Knight, Christopher Fowler, et al.. (2022). Plasma microRNA vary in association with the progression of Alzheimer's disease. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 14(1). e12251–e12251. 27 indexed citations
5.
Tate, Warren P., et al.. (2021). Secreted Amyloid Precursor Protein-Alpha Enhances LTP Through the Synthesis and Trafficking of Ca2+-Permeable AMPA Receptors. Frontiers in Molecular Neuroscience. 14. 660208–660208. 13 indexed citations
6.
Mockett, Bruce G., Diane Guévremont, Karen D. Parfitt, et al.. (2019). Glutamate Receptor Trafficking and Protein Synthesis Mediate the Facilitation of LTP by Secreted Amyloid Precursor Protein-Alpha. Journal of Neuroscience. 39(17). 3188–3203. 33 indexed citations
7.
Kyrke‐Smith, Madeleine & Joanna M. Williams. (2018). Bridging Synaptic and Epigenetic Maintenance Mechanisms of the Engram. Frontiers in Molecular Neuroscience. 11. 369–369. 29 indexed citations
8.
Ryan, Margaret M., Diane Guévremont, Bruce G. Mockett, Wickliffe C. Abraham, & Joanna M. Williams. (2018). Circulating Plasma microRNAs are Altered with Amyloidosis in a Mouse Model of Alzheimer’s Disease. Journal of Alzheimer s Disease. 66(2). 835–852. 15 indexed citations
9.
Williams, Joanna M., Farjana Fattah, Ryan Smith, et al.. (2018). P2.01-37 A Ph 1/2 Study of Oral Selective AXL Inhibitor Bemcentinib (BGB324) with Docetaxel in pts with Previously Treated NSCLC. Journal of Thoracic Oncology. 13(10). S679–S679. 1 indexed citations
10.
Nido, Gonzalo S., Margaret M. Ryan, Ľubica Beňušková, & Joanna M. Williams. (2015). Dynamical properties of gene regulatory networks involved in long-term potentiation. Frontiers in Molecular Neuroscience. 8. 42–42. 4 indexed citations
11.
Ryan, Margaret M., et al.. (2015). Aging alters long-term potentiation–related gene networks and impairs synaptic protein synthesis in the rat hippocampus. Neurobiology of Aging. 36(5). 1868–1880. 24 indexed citations
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Guévremont, Diane, et al.. (2014). Changes in the GRIP 1&2 scaffolding proteins in the cerebellum of the ataxic stargazer mouse. Brain Research. 1546. 53–62. 5 indexed citations
15.
Ryan, Margaret M., Brigid Ryan, Madeleine Kyrke‐Smith, et al.. (2012). Temporal Profiling of Gene Networks Associated with the Late Phase of Long-Term Potentiation In Vivo. PLoS ONE. 7(7). e40538–e40538. 48 indexed citations
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Leitch, Beulah, et al.. (2009). Loss of calcium channels in the cerebellum of the ataxic and epileptic stargazer mutant mouse. Brain Research. 1279. 156–167. 16 indexed citations
19.
Williams, Joanna M., Alison M. Beckmann, Sara E. Mason‐Parker, et al.. (2000). Sequential increase in Egr-1 and AP-1 DNA binding activity in the dentate gyrus following the induction of long-term potentiation. Molecular Brain Research. 77(2). 258–266. 34 indexed citations
20.
Williams, Joanna M., et al.. (1998). Synaptic activity-dependent modulation of mitochondrial gene expression in the rat hippocampus. Molecular Brain Research. 60(1). 50–56. 47 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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