Jennifer Parker

802 total citations
10 papers, 249 citations indexed

About

Jennifer Parker is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Jennifer Parker has authored 10 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Neurology. Recurrent topics in Jennifer Parker's work include Genetic Neurodegenerative Diseases (4 papers), Amyotrophic Lateral Sclerosis Research (4 papers) and Mitochondrial Function and Pathology (3 papers). Jennifer Parker is often cited by papers focused on Genetic Neurodegenerative Diseases (4 papers), Amyotrophic Lateral Sclerosis Research (4 papers) and Mitochondrial Function and Pathology (3 papers). Jennifer Parker collaborates with scholars based in Canada, United Kingdom and United States. Jennifer Parker's co-authors include Kathrin Schmeißer, Paul Frankel, Claudia Maios, Francesca Cicchetti, Maud Gratuze, Isabelle Poitras, Robert A. Whittington, Anastasia Noël, Emmanuel Planel and Françoise Morin and has published in prestigious journals such as Brain, Human Molecular Genetics and Experimental Neurology.

In The Last Decade

Jennifer Parker

9 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jennifer Parker Canada	8	146	75	65	42	39	10	249
Leen Vendredy Belgium	6	163 1.1×	42 0.6×	67 1.0×	34 0.8×	32 0.8×	7	249
Zhiwei Luo China	7	220 1.5×	119 1.6×	50 0.8×	58 1.4×	58 1.5×	13	360
Elena Casarotto Italy	10	149 1.0×	65 0.9×	41 0.6×	45 1.1×	29 0.7×	16	238
Marta Chierichetti Italy	10	149 1.0×	65 0.9×	41 0.6×	45 1.1×	29 0.7×	16	238
Zhi-hua Yang China	8	179 1.2×	99 1.3×	60 0.9×	20 0.5×	50 1.3×	15	324
Yasuyoshi Kimura Japan	9	123 0.8×	65 0.9×	27 0.4×	27 0.6×	31 0.8×	27	227
Marta Vidal Australia	8	109 0.7×	171 2.3×	46 0.7×	52 1.2×	49 1.3×	12	326
Jinzhi Zhang China	5	146 1.0×	146 1.9×	70 1.1×	59 1.4×	47 1.2×	5	373
Hortense de Calbiac France	4	95 0.7×	120 1.6×	38 0.6×	76 1.8×	36 0.9×	9	231
Shenzhao Lu United States	10	157 1.1×	30 0.4×	38 0.6×	18 0.4×	43 1.1×	16	255

Countries citing papers authored by Jennifer Parker

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Parker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Parker

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

All Works

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10 of 10 papers shown

Xiao, Shangxi, Nicolás Gómez, Elizabeth M.H. Tank, et al.. (2021). TDP-43 stabilizes G3BP1 mRNA: relevance to amyotrophic lateral sclerosis/frontotemporal dementia. Brain. 144(11). 3461–3476. 38 indexed citations

Mota, Filipa, Tamas Yelland, Jennifer Parker, et al.. (2021). Peptides Derived from Vascular Endothelial Growth Factor B Show Potent Binding to Neuropilin‐1. ChemBioChem. 23(1). e202100463–e202100463. 7 indexed citations

Wood‐Kaczmar, Alison, Rhia Ghosh, Jennifer Parker, et al.. (2021). Mislocalization of Nucleocytoplasmic Transport Proteins in Human Huntington’s Disease PSC-Derived Striatal Neurons. Frontiers in Cellular Neuroscience. 15. 742763–742763. 13 indexed citations

Maios, Claudia, et al.. (2021). A single copy transgenic mutant FUS strain reproduces age-dependent ALS phenotypes in C. elegans. PubMed. 2021(9). 9 indexed citations

Parker, Jennifer, et al.. (2020). Overexpression of FKH-2/FOXG1 is neuroprotective in a C. elegans model of Machado-Joseph disease. Experimental Neurology. 337. 113544–113544. 4 indexed citations

Parker, Jennifer, et al.. (2020). Genetic Interactions of Progranulin Across the ALS-FTD Spectrum and Beyond. PubMed. 2023.

Schmeißer, Kathrin & Jennifer Parker. (2019). Pleiotropic Effects of mTOR and Autophagy During Development and Aging. Frontiers in Cell and Developmental Biology. 7. 192–192. 85 indexed citations

Maios, Claudia, Gary A.B. Armstrong, Meijiang Liao, et al.. (2019). The Novel Small Molecule TRVA242 Stabilizes Neuromuscular Junction Defects in Multiple Animal Models of Amyotrophic Lateral Sclerosis. Neurotherapeutics. 16(4). 1149–1166. 26 indexed citations

Parker, Jennifer, et al.. (2017). Optimal Anesthetic Regime for Motionless Three-Dimensional Image Acquisition During Longitudinal Studies of Adult Nonpigmented Zebrafish. Zebrafish. 14(2). 133–139. 13 indexed citations

10.

Gratuze, Maud, Anastasia Noël, Carl Julien, et al.. (2014). Tau hyperphosphorylation and deregulation of calcineurin in mouse models of Huntington's disease. Human Molecular Genetics. 24(1). 86–99. 54 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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