W. Ted Allison

2.5k total citations
72 papers, 1.7k citations indexed

About

W. Ted Allison is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, W. Ted Allison has authored 72 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 26 papers in Cell Biology and 23 papers in Cellular and Molecular Neuroscience. Recurrent topics in W. Ted Allison's work include Retinal Development and Disorders (35 papers), Zebrafish Biomedical Research Applications (23 papers) and Photoreceptor and optogenetics research (14 papers). W. Ted Allison is often cited by papers focused on Retinal Development and Disorders (35 papers), Zebrafish Biomedical Research Applications (23 papers) and Photoreceptor and optogenetics research (14 papers). W. Ted Allison collaborates with scholars based in Canada, United States and Saudi Arabia. W. Ted Allison's co-authors include Craig W. Hawryshyn, Michèle G. DuVal, Valerie C. Fleisch, Stephen G. Dann, Nicole C. L. Noel, Pamela A. Raymond, Shoji Kawamura, Masaki Takechi, Linda K. Barthel and Michael A. Walter and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

W. Ted Allison

70 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Ted Allison Canada 25 1.1k 473 466 158 152 72 1.7k
Jason R. Meyers United States 13 999 0.9× 259 0.5× 464 1.0× 103 0.7× 60 0.4× 15 1.7k
Deborah L. Stenkamp United States 30 1.9k 1.6× 616 1.3× 867 1.9× 240 1.5× 152 1.0× 65 2.3k
Thomas S. Vihtelic United States 22 1.5k 1.3× 389 0.8× 748 1.6× 195 1.2× 38 0.3× 34 1.8k
Theo van Veen Sweden 29 1.8k 1.5× 913 1.9× 345 0.7× 596 3.8× 105 0.7× 56 2.4k
Linda K. Barthel United States 22 2.3k 2.0× 875 1.8× 1.1k 2.4× 320 2.0× 104 0.7× 26 2.8k
Susan E. Brockerhoff United States 30 2.2k 2.0× 877 1.9× 1.4k 2.9× 376 2.4× 55 0.4× 57 2.9k
Kohtaro Takei Japan 24 803 0.7× 1.3k 2.7× 524 1.1× 68 0.4× 60 0.4× 80 2.1k
Bo Holmqvist Sweden 29 605 0.5× 563 1.2× 345 0.7× 49 0.3× 91 0.6× 63 2.0k
Juan Ramón Martínez‐Morales Spain 21 1.7k 1.4× 498 1.1× 458 1.0× 155 1.0× 44 0.3× 46 2.0k
Subathra Poopalasundaram United Kingdom 18 719 0.6× 648 1.4× 168 0.4× 45 0.3× 63 0.4× 25 1.2k

Countries citing papers authored by W. Ted Allison

Since Specialization
Citations

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

Fields of papers citing papers by W. Ted Allison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Ted Allison. 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 W. Ted Allison. The network helps show where W. Ted Allison may publish in the future.

Co-authorship network of co-authors of W. Ted Allison

This figure shows the co-authorship network connecting the top 25 collaborators of W. Ted Allison. A scholar is included among the top collaborators of W. Ted Allison 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 W. Ted Allison. W. Ted Allison 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.
Pokrishevsky, Edward, Michèle G. DuVal, Luke McAlary, et al.. (2024). Tryptophan residues in TDP-43 and SOD1 modulate the cross-seeding and toxicity of SOD1. Journal of Biological Chemistry. 300(5). 107207–107207. 5 indexed citations
2.
Lamothe, Shawn M., Arturo Urrutia, Samuel J. Goodchild, et al.. (2023). Site and Mechanism of ML252 Inhibition of Kv7 Voltage-Gated Potassium Channels. Function. 4(4). zqad021–zqad021. 7 indexed citations
3.
Allison, W. Ted, et al.. (2022). Neurologic Complications in Hereditary Hemorrhagic Telangiectasia with Pulmonary Arteriovenous Malformations: A Systematic Review. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 50(4). 561–572. 7 indexed citations
4.
Noel, Nicole C. L., W. Ted Allison, Ian M. MacDonald, & Jennifer C. Hocking. (2022). Zebrafish and inherited photoreceptor disease: Models and insights. Progress in Retinal and Eye Research. 91. 101096–101096. 13 indexed citations
5.
Allison, W. Ted, et al.. (2021). Vertebrate features revealed in the rudimentary eye of the Pacific hagfish ( Eptatretus stoutii ). Proceedings of the Royal Society B Biological Sciences. 288(1942). 20202187–20202187. 10 indexed citations
6.
Allison, W. Ted, et al.. (2021). Zebrafish (Danio rerio) behavioural response to an odorant mixture containing attracting and repelling odorants. Behaviour. 158(5). 355–375. 1 indexed citations
7.
8.
DuVal, Michèle G., et al.. (2021). Seizures are a druggable mechanistic link between TBI and subsequent tauopathy. eLife. 10. 22 indexed citations
9.
Aggarwal, Abhi, Ilya Kolb, Ronak Patel, et al.. (2020). Bright and High-Performance Genetically Encoded Ca 2+ Indicator Based on mNeonGreen Fluorescent Protein. ACS Sensors. 5(7). 1959–1968. 34 indexed citations
10.
Lim, Sumi, et al.. (2020). Sleep is bi-directionally modified by amyloid beta oligomers. eLife. 9. 24 indexed citations
11.
Allison, W. Ted. (2018). The intrigue is infectious: Impacts of prion protein during neural development. Developmental Biology. 441(1). 1–3. 2 indexed citations
12.
DuVal, Michèle G., Vijaya Kumar Hinge, Edward Pokrishevsky, et al.. (2018). Tryptophan 32 mediates SOD1 toxicity in a in vivo motor neuron model of ALS and is a promising target for small molecule therapeutics. Neurobiology of Disease. 124. 297–310. 27 indexed citations
13.
DuVal, Michèle G., et al.. (2015). Transcriptional changes in photoreceptor development genes during regeneration after cone ablation in zebrafish. Investigative Ophthalmology & Visual Science. 56(7). 452–452. 1 indexed citations
14.
Imberdis, Thibaut, Nicolas Cubedo, Michelle Silhol, et al.. (2014). Zebrafish Prion Protein PrP2 Controls Collective Migration Process during Lateral Line Sensory System Development. PLoS ONE. 9(12). e113331–e113331. 16 indexed citations
15.
Yoshimatsu, Takeshi, Philip R. Williams, Florence D. D’Orazi, et al.. (2014). Transmission from the dominant input shapes the stereotypic ratio of photoreceptor inputs onto horizontal cells. Nature Communications. 5(1). 3699–3699. 24 indexed citations
16.
Asai-Coakwell, Mika, Michèle G. DuVal, Irma López, et al.. (2013). Contribution of growth differentiation factor 6-dependent cell survival to early-onset retinal dystrophies. Human Molecular Genetics. 22(7). 1432–1442. 52 indexed citations
17.
Fleisch, Valerie C., et al.. (2010). Investigating regeneration and functional integration of CNS neurons: Lessons from zebrafish genetics and other fish species. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1812(3). 364–380. 70 indexed citations
18.
Allison, W. Ted, Linda K. Barthel, Kuang Chen, et al.. (2005). Genetic Analysis of the Cone Photoreceptor Mosaic in Zebrafish. Investigative Ophthalmology & Visual Science. 46(13). 3962–3962. 1 indexed citations
19.
Levin, David B., Stephen G. Dann, W. Ted Allison, John S. Taylor, & Craig W. Hawryshyn. (2004). Salmonid Opsin Sequences Undergo Positive Selection and Indicate an Alternate Evolutionary Relationship in Oncorhynchus. Journal of Molecular Evolution. 58(4). 400–412. 29 indexed citations
20.

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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