Judith Dunmore

1.9k total citations · 2 hit papers
8 papers, 1.5k citations indexed

About

Judith Dunmore is a scholar working on Molecular Biology, Cell Biology and Neurology. According to data from OpenAlex, Judith Dunmore has authored 8 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cell Biology and 3 papers in Neurology. Recurrent topics in Judith Dunmore's work include Endoplasmic Reticulum Stress and Disease (5 papers), Alzheimer's disease research and treatments (3 papers) and Heat shock proteins research (2 papers). Judith Dunmore is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (5 papers), Alzheimer's disease research and treatments (3 papers) and Heat shock proteins research (2 papers). Judith Dunmore collaborates with scholars based in United States, Czechia and Switzerland. Judith Dunmore's co-authors include Leonard Petrucelli, Dennis W. Dickson, Chad A. Dickey, Michael Hutton, Christopher B. Eckman, Peter E.A. Ash, Cam Patterson, Chris W. Lee, Adeela Kamal and Francis Burrows and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Neuroscience.

In The Last Decade

Judith Dunmore

7 papers receiving 1.4k citations

Hit Papers

The high-affinity HSP90-CHIP complex recognizes and selec... 2007 2026 2013 2019 2007 2013 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
Judith Dunmore United States 6 935 570 425 327 286 8 1.5k
Rachel M. Bailey United States 18 1.0k 1.1× 575 1.0× 663 1.6× 348 1.1× 333 1.2× 29 1.9k
Yari Carlomagno United States 19 910 1.0× 891 1.6× 575 1.4× 154 0.5× 256 0.9× 26 1.7k
Tadashi Nakaya Japan 19 697 0.7× 655 1.1× 142 0.3× 295 0.9× 230 0.8× 38 1.2k
Li‐wen Ko United States 21 593 0.6× 907 1.6× 488 1.1× 215 0.7× 354 1.2× 34 1.5k
Takenari Yamashita Japan 21 1.0k 1.1× 437 0.8× 596 1.4× 76 0.2× 331 1.2× 32 1.6k
Aaron Daub United States 8 534 0.6× 396 0.7× 313 0.7× 114 0.3× 296 1.0× 9 1.0k
Caroline Stetler United States 12 647 0.7× 469 0.8× 764 1.8× 104 0.3× 192 0.7× 12 1.3k
Owen M. Peters United Kingdom 21 466 0.5× 305 0.5× 685 1.6× 163 0.5× 342 1.2× 28 1.2k
Xiaoyang Shan Canada 16 1.5k 1.6× 587 1.0× 165 0.4× 157 0.5× 173 0.6× 21 2.0k
Maxime W.C. Rousseaux United States 19 913 1.0× 302 0.5× 587 1.4× 169 0.5× 404 1.4× 39 1.7k

Countries citing papers authored by Judith Dunmore

Since Specialization
Citations

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

Fields of papers citing papers by Judith Dunmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Judith Dunmore

This figure shows the co-authorship network connecting the top 25 collaborators of Judith Dunmore. A scholar is included among the top collaborators of Judith Dunmore 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 Judith Dunmore. Judith Dunmore 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
2.
Bauer, Peter, Judith Dunmore, Hiroki Sasaguri, & Václav Maťoška. (2019). Neurons Induced From Fibroblasts of c9ALS/FTD Patients Reproduce the Pathology Seen in the Central Nervous System. Frontiers in Neuroscience. 13. 935–935. 2 indexed citations
3.
Gendron, Tania F., Kevin F. Bieniek, Yong‐Jie Zhang, et al.. (2013). Antisense transcripts of the expanded C9ORF72 hexanucleotide repeat form nuclear RNA foci and undergo repeat-associated non-ATG translation in c9FTD/ALS. Acta Neuropathologica. 126(6). 829–844. 415 indexed citations breakdown →
4.
Cook, Casey, Jennifer Gass, Judith Dunmore, et al.. (2009). Aging Is Not Associated with Proteasome Impairment in UPS Reporter Mice. PLoS ONE. 4(6). e5888–e5888. 20 indexed citations
5.
Dickey, Chad A., John Koren, Yong‐Jie Zhang, et al.. (2008). Akt and CHIP coregulate tau degradation through coordinated interactions. Proceedings of the National Academy of Sciences. 105(9). 3622–3627. 174 indexed citations
6.
Dickey, Chad A., Adeela Kamal, Karen Lundgren, et al.. (2007). The high-affinity HSP90-CHIP complex recognizes and selectively degrades phosphorylated tau client proteins. Journal of Clinical Investigation. 117(3). 648–658. 507 indexed citations breakdown →
7.
Dickey, Chad A., Judith Dunmore, Bingwei Lu, et al.. (2006). HSP induction mediates selective clearance of tau phosphorylated at proline‐directed Ser/Thr sites but not KXGS (MARK) sites. The FASEB Journal. 20(6). 753–755. 133 indexed citations
8.
Dickey, Chad A., Mei Yue, Wen-Lang Lin, et al.. (2006). Deletion of the Ubiquitin Ligase CHIP Leads to the Accumulation, But Not the Aggregation, of Both Endogenous Phospho- and Caspase-3-Cleaved Tau Species. Journal of Neuroscience. 26(26). 6985–6996. 203 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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