Jacqueline Shehadeh

1.3k total citations · 1 hit paper
8 papers, 1.0k citations indexed

About

Jacqueline Shehadeh is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Jacqueline Shehadeh has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 7 papers in Molecular Biology and 4 papers in Neurology. Recurrent topics in Jacqueline Shehadeh's work include Mitochondrial Function and Pathology (6 papers), Genetic Neurodegenerative Diseases (6 papers) and Neurological disorders and treatments (3 papers). Jacqueline Shehadeh is often cited by papers focused on Mitochondrial Function and Pathology (6 papers), Genetic Neurodegenerative Diseases (6 papers) and Neurological disorders and treatments (3 papers). Jacqueline Shehadeh collaborates with scholars based in Canada, Australia and India. Jacqueline Shehadeh's co-authors include Michael R. Hayden, Lynn A. Raymond, Blair R. Leavitt, Rona K. Graham, Cheryl L. Wellington, Herman B. Fernandes, Zoe Murphy, Ge Lu, Yu Deng and Nagat Bissada and has published in prestigious journals such as Cell, Journal of Neuroscience and Journal of Neurochemistry.

In The Last Decade

Jacqueline Shehadeh

8 papers receiving 1.0k citations

Hit Papers

Cleavage at the Caspase-6... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacqueline Shehadeh Canada 8 836 835 272 83 69 8 1.0k
Zoe Murphy Canada 6 837 1.0× 823 1.0× 259 1.0× 70 0.8× 52 0.8× 7 976
Valérie Perrin France 8 566 0.7× 488 0.6× 161 0.6× 70 0.8× 58 0.8× 9 699
Terrence F. Satterfield United States 4 586 0.7× 489 0.6× 188 0.7× 44 0.5× 126 1.8× 5 731
Michael Flower United Kingdom 13 685 0.8× 601 0.7× 223 0.8× 55 0.7× 80 1.2× 20 938
Marie K. Bondulich United Kingdom 11 582 0.7× 578 0.7× 181 0.7× 62 0.7× 134 1.9× 17 766
Jan Ko United States 11 696 0.8× 634 0.8× 203 0.7× 58 0.7× 152 2.2× 14 959
Alessia Tarditi Italy 9 462 0.6× 543 0.7× 183 0.7× 40 0.5× 57 0.8× 12 750
Mohammed T. Akbar United Kingdom 12 566 0.7× 370 0.4× 156 0.6× 150 1.8× 149 2.2× 13 855
Birgit Zucker Germany 8 737 0.9× 556 0.7× 173 0.6× 39 0.5× 84 1.2× 9 958
Christine E. Keller-McGandy United States 12 484 0.6× 469 0.6× 387 1.4× 50 0.6× 96 1.4× 13 879

Countries citing papers authored by Jacqueline Shehadeh

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline Shehadeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline Shehadeh

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

All Works

8 of 8 papers shown
1.
Shehadeh, Jacqueline, Kay L. Double, Karen E. Murphy, et al.. (2019). Expression of tyrosine hydroxylase isoforms and phosphorylation at serine 40 in the human nigrostriatal system in Parkinson's disease. Neurobiology of Disease. 130. 104524–104524. 18 indexed citations
2.
Gordon, Sarah L., et al.. (2009). The Low Affinity Dopamine Binding Site on Tyrosine Hydroxylase: The Role of the N-Terminus and In Situ Regulation of Enzyme Activity. Neurochemical Research. 34(10). 1830–1837. 10 indexed citations
3.
Cowan, Catherine M., Mannie Fan, Jing Fan, et al.. (2008). Polyglutamine-Modulated Striatal Calpain Activity in YAC Transgenic Huntington Disease Mouse Model: Impact on NMDA Receptor Function and Toxicity. Journal of Neuroscience. 28(48). 12725–12735. 62 indexed citations
4.
Graham, Rona K., Yu Deng, Elizabeth Slow, et al.. (2006). Cleavage at the Caspase-6 Site Is Required for Neuronal Dysfunction and Degeneration Due to Mutant Huntingtin. Cell. 125(6). 1179–1191. 505 indexed citations breakdown →
5.
Leavitt, Blair R., Jeremy M. Van Raamsdonk, Jacqueline Shehadeh, et al.. (2006). Wild‐type huntingtin protects neurons from excitotoxicity. Journal of Neurochemistry. 96(4). 1121–1129. 129 indexed citations
6.
Graham, Rona K., Elizabeth Slow, Yu Deng, et al.. (2005). Levels of mutant huntingtin influence the phenotypic severity of Huntington disease in YAC128 mouse models. Neurobiology of Disease. 21(2). 444–455. 69 indexed citations
7.
Shehadeh, Jacqueline, Herman B. Fernandes, Rona K. Graham, et al.. (2005). Striatal neuronal apoptosis is preferentially enhanced by NMDA receptor activation in YAC transgenic mouse model of Huntington disease. Neurobiology of Disease. 21(2). 392–403. 97 indexed citations
8.
Fernandes, Herman B., Claudia Krebs, Jacqueline Shehadeh, et al.. (2004). Potentiation of NMDA receptor-mediated excitotoxicity linked with intrinsic apoptotic pathway in YAC transgenic mouse model of Huntington's disease. Molecular and Cellular Neuroscience. 25(3). 469–479. 130 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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