Megan Quimby

2.6k total citations · 1 hit paper
59 papers, 1.8k citations indexed

About

Megan Quimby is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Genetics. According to data from OpenAlex, Megan Quimby has authored 59 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 14 papers in Psychiatry and Mental health and 10 papers in Genetics. Recurrent topics in Megan Quimby's work include Neurobiology of Language and Bilingualism (21 papers), Dementia and Cognitive Impairment Research (13 papers) and Aquaculture disease management and microbiota (10 papers). Megan Quimby is often cited by papers focused on Neurobiology of Language and Bilingualism (21 papers), Dementia and Cognitive Impairment Research (13 papers) and Aquaculture disease management and microbiota (10 papers). Megan Quimby collaborates with scholars based in United States, Spain and Canada. Megan Quimby's co-authors include Ken Wolf, Bradford C. Dickerson, Jessica A. Collins, Daisy Hochberg, G. L. Bullock, Nikos Makris, C. E. Dunbar, Octávio Marques Pontes‐Neto, Andrew Dumas and Sara Makaretz and has published in prestigious journals such as Science, Brain and Neurology.

In The Last Decade

Megan Quimby

58 papers receiving 1.6k citations

Hit Papers

Established Eurythermic Line of Fish Cells in vitro 1962 2026 1983 2004 1962 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
Megan Quimby United States 21 664 368 353 297 259 59 1.8k
Wenming Zhao China 28 173 0.3× 205 0.6× 1.1k 3.1× 362 1.2× 580 2.2× 158 2.7k
Tomoyoshi Komiyama Japan 27 81 0.1× 163 0.4× 385 1.1× 768 2.6× 93 0.4× 124 2.3k
Jean‐François Poulin Canada 28 695 1.0× 31 0.1× 1.1k 3.1× 548 1.8× 132 0.5× 56 3.3k
Nancy Schultz‐Darken United States 29 399 0.6× 69 0.2× 371 1.1× 178 0.6× 255 1.0× 59 2.7k
I. Anna S. Olsson Portugal 30 158 0.2× 627 1.7× 324 0.9× 123 0.4× 579 2.2× 115 2.9k
Ulrike Gimsa Germany 25 439 0.7× 55 0.1× 383 1.1× 88 0.3× 417 1.6× 72 2.1k
Zheng Fan China 27 197 0.3× 62 0.2× 663 1.9× 54 0.2× 366 1.4× 68 1.8k
David Groth Australia 19 124 0.2× 54 0.1× 326 0.9× 58 0.2× 250 1.0× 70 1.7k
Laura A. Vogel United States 28 870 1.3× 73 0.2× 206 0.6× 24 0.1× 168 0.6× 80 2.5k
Penny Hawkins United Kingdom 23 93 0.1× 179 0.5× 148 0.4× 70 0.2× 246 0.9× 54 1.6k

Countries citing papers authored by Megan Quimby

Since Specialization
Citations

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

Fields of papers citing papers by Megan Quimby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan Quimby

This figure shows the co-authorship network connecting the top 25 collaborators of Megan Quimby. A scholar is included among the top collaborators of Megan Quimby 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 Megan Quimby. Megan Quimby 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.
Katsumi, Yuta, Ryan Eckbo, Bonnie Wong, et al.. (2024). Default mode network tau predicts future clinical decline in atypical early Alzheimer’s disease. Brain. 148(4). 1329–1344. 6 indexed citations
2.
Putcha, Deepti, et al.. (2024). Auditory naming is impaired in posterior cortical atrophy and early-onset Alzheimer’s disease. Frontiers in Neuroscience. 18. 2 indexed citations
3.
Hochberg, Daisy, et al.. (2023). Quantifying three types of abnormal language in semantic variant primary progressive aphasia. Alzheimer s & Dementia. 19(S4). 1 indexed citations
4.
Rezaii, Neguine, et al.. (2023). Measuring Sentence Information via Surprisal: Theoretical and Clinical Implications in Nonfluent Aphasia. Annals of Neurology. 94(4). 647–657. 7 indexed citations
5.
Rezaii, Neguine, et al.. (2023). Automated analysis of written language in the three variants of primary progressive aphasia. Brain Communications. 5(4). fcad202–fcad202. 8 indexed citations
6.
Rezaii, Neguine, et al.. (2022). Automated Analysis of Functional Written Communication in the Three Variants of Primary Progressive Aphasia (P7-3.001). Neurology. 98(18_supplement). 1 indexed citations
7.
Katsumi, Yuta, Deepti Putcha, Ryan Eckbo, et al.. (2022). Anterior dorsal attention network tau drives visual attention deficits in posterior cortical atrophy. Brain. 146(1). 295–306. 19 indexed citations
8.
Katsumi, Yuta, Megan Quimby, Daisy Hochberg, et al.. (2022). Association of Regional Cortical Network Atrophy With Progression to Dementia in Patients With Primary Progressive Aphasia. Neurology. 100(3). e286–e296. 4 indexed citations
9.
Collins, Jessica A., Megan Quimby, Daisy Hochberg, et al.. (2021). Neural substrates of verbal repetition deficits in primary progressive aphasia. Brain Communications. 3(1). fcab015–fcab015. 11 indexed citations
10.
Dev, Sheena I., Megan Quimby, Bonnie Wong, et al.. (2021). A category-selective semantic memory deficit for animate objects in semantic variant primary progressive aphasia. Brain Communications. 3(4). fcab210–fcab210. 7 indexed citations
11.
Luo, Chunyan, Sara Makaretz, George N. Papadimitriou, et al.. (2019). Middle longitudinal fascicle is associated with semantic processing deficits in primary progressive aphasia. NeuroImage Clinical. 25. 102115–102115. 20 indexed citations
12.
Makaretz, Sara, Megan Quimby, Jessica A. Collins, et al.. (2017). Flortaucipir tau PET imaging in semantic variant primary progressive aphasia. Journal of Neurology Neurosurgery & Psychiatry. 89(10). 1024–1031. 69 indexed citations
13.
14.
Dickerson, Brad C., Jessica A. Collins, Víctor Montal, et al.. (2016). P2‐241: Focal Temporal Pole Atrophy and Network Degeneration in Semantic Variant Primary Progressive Aphasia. Alzheimer s & Dementia. 12(7S_Part_14). 1 indexed citations
15.
Collins, Jessica A., Víctor Montal, Daisy Hochberg, et al.. (2016). Focal temporal pole atrophy and network degeneration in semantic variant primary progressive aphasia. Brain. 140(2). 457–471. 93 indexed citations
16.
Wolf, Ken, et al.. (1974). Duck viral enteritis: microtiter plate isolation and neutralization test using the duck embryo fibroblast cell line.. PubMed. 18(3). 427–34. 23 indexed citations
17.
Quimby, Megan, et al.. (1969). Progress report on in vitro culture of cyclostome and elasmobranch cells and tissues. In Vitro Cellular & Developmental Biology - Plant. 4(2). 125–125. 2 indexed citations
18.
Bullock, G. L., et al.. (1968). Tadpole Edema Virus: A Viscerotropic Pathogen for Anuran Amphibians. The Journal of Infectious Diseases. 118(3). 253–262. 62 indexed citations
19.
Wolf, Ken & Megan Quimby. (1967). Low-Temperature Incubation Using a Water Supply. Applied Microbiology. 15(6). 1501–1501. 1 indexed citations
20.
Wolf, Ken & Megan Quimby. (1964). Amphibian Cell Culture: Permanent Cell Line from the Bullfrog ( Rana catesbeiana ). Science. 144(3626). 1578–1580. 144 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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