Anna Karydas

23.4k total citations · 1 hit paper
58 papers, 3.7k citations indexed

About

Anna Karydas is a scholar working on Neurology, Physiology and Psychiatry and Mental health. According to data from OpenAlex, Anna Karydas has authored 58 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Neurology, 25 papers in Physiology and 14 papers in Psychiatry and Mental health. Recurrent topics in Anna Karydas's work include Alzheimer's disease research and treatments (21 papers), Parkinson's Disease Mechanisms and Treatments (21 papers) and Amyotrophic Lateral Sclerosis Research (20 papers). Anna Karydas is often cited by papers focused on Alzheimer's disease research and treatments (21 papers), Parkinson's Disease Mechanisms and Treatments (21 papers) and Amyotrophic Lateral Sclerosis Research (20 papers). Anna Karydas collaborates with scholars based in United States, United Kingdom and Sweden. Anna Karydas's co-authors include Bruce L. Miller, William W. Seeley, Adam L. Boxer, Giovanni Coppola, Howard J. Rosen, Fen‐Biao Gao, Sandra Almeida, Joel H. Kramer, Gil D. Rabinovici and Lea T. Grinberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Anna Karydas

58 papers receiving 3.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Poly(GR) in C9ORF72 -Related ALS/FTD Compromises Mitochondrial Function and Increases Oxidative Stress and DNA Damage in iPSC-Derived Motor Neurons

2016 315 citations Tania F. Gendron, Anna Karydas et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Karydas United States	31	1.6k	1.5k	1.3k	838	704	58	3.7k
Salvatore Spina United States	32	1.8k 1.1×	1.8k 1.2×	872 0.7×	866 1.0×	942 1.3×	98	3.7k
Antonella Alberici Italy	37	1.6k 1.0×	1.7k 1.2×	892 0.7×	869 1.0×	1.0k 1.4×	139	4.1k
Annachiara Cagnin Italy	23	1.1k 0.7×	1.2k 0.8×	749 0.6×	512 0.6×	1.3k 1.9×	59	3.5k
Richard Crook United States	34	2.5k 1.6×	1.1k 0.7×	1.4k 1.1×	831 1.0×	627 0.9×	73	3.9k
James R. Burrell Australia	24	1.1k 0.7×	2.8k 1.9×	685 0.5×	840 1.0×	639 0.9×	76	4.3k
Wouter Kamphorst Netherlands	43	1.9k 1.2×	1.6k 1.0×	1.3k 1.0×	488 0.6×	800 1.1×	91	5.0k
Joanne Norton United States	21	1.4k 0.9×	1.0k 0.7×	703 0.6×	545 0.7×	630 0.9×	40	2.6k
Pau Pástor Spain	36	1.2k 0.7×	2.2k 1.4×	952 0.7×	341 0.4×	790 1.1×	123	3.6k
Yvonne S. Davidson United Kingdom	29	1.3k 0.8×	1.7k 1.2×	751 0.6×	548 0.7×	557 0.8×	63	2.8k
Elizabeth J. Cochran United States	29	1.8k 1.1×	703 0.5×	985 0.8×	1.2k 1.4×	680 1.0×	48	4.3k

Countries citing papers authored by Anna Karydas

Since Specialization

Citations

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

Fields of papers citing papers by Anna Karydas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Karydas

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

All Works

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20 of 20 papers shown

Chen, Xu, Yaqiao Li, Chao Wang, et al.. (2020). Promoting tau secretion and propagation by hyperactive p300/CBP via autophagy-lysosomal pathway in tauopathy. Molecular Neurodegeneration. 15(1). 2–2. 75 indexed citations

Casaletto, Kaitlin B., Cutter A. Lindbergh, Molly Memel, et al.. (2020). Sexual dimorphism of physical activity on cognitive aging: Role of immune functioning. Brain Behavior and Immunity. 88. 699–710. 21 indexed citations

Caverzasi, Eduardo, Giovanni Battistella, Howie Rosen, et al.. (2019). Gyrification abnormalities in presymptomatic c9orf72 expansion carriers. Journal of Neurology Neurosurgery & Psychiatry. 90(9). 1005–1010. 19 indexed citations

Bettcher, Brianne M., John Neuhaus, Matthew J. Wynn, et al.. (2019). Increases in a Pro-inflammatory Chemokine, MCP-1, Are Related to Decreases in Memory Over Time. Frontiers in Aging Neuroscience. 11. 25–25. 61 indexed citations

Butler, Paul, Winston Chiong, David C. Perry, et al.. (2019). Dopamine receptor D4 (DRD) polymorphisms with reduced functional potency intensify atrophy in syndrome-specific sites of frontotemporal dementia. NeuroImage Clinical. 23. 101822–101822. 4 indexed citations

Staffaroni, Adam M., Jesse A. Brown, Kaitlin B. Casaletto, et al.. (2018). The Longitudinal Trajectory of Default Mode Network Connectivity in Healthy Older Adults Varies As a Function of Age and Is Associated with Changes in Episodic Memory and Processing Speed. Journal of Neuroscience. 38(11). 2809–2817. 146 indexed citations

Kim, Eun‐Joo, Jesse A. Brown, Jersey Deng, et al.. (2018). Mixed TDP-43 proteinopathy and tauopathy in frontotemporal lobar degeneration: nine case series. Journal of Neurology. 265(12). 2960–2971. 18 indexed citations

Casaletto, Kaitlin B., Fanny M. Elahi, Ryan Fitch, et al.. (2018). A comparison of biofluid cytokine markers across platform technologies: Correspondence or divergence?. Cytokine. 111. 481–489. 17 indexed citations

Steele, Natasha Z. R., Suzee E. Lee, Jamie Fong, et al.. (2018). Frequency of frontotemporal dementia gene variants in C9ORF72, MAPT, and GRN in academic versus commercial laboratory cohorts. PubMed. Volume 8. 23–33. 8 indexed citations

10.

Karydas, Anna, Jee Bang, Richard Tsai, et al.. (2016). Plasma Neurofilament Light Chain Predicts Progression in Progressive Supranuclear Palsy (S39.005). Neurology. 86(16_supplement). 2 indexed citations

11.

Miller, Zachary, Laura L. Mitic, Jennifer L. Tran, et al.. (2015). Progranulin protein plasma and CSF levels in a large well-characterized dementia and healthy aging cohort. (S33.004). Neurology. 84(14_supplement). 2 indexed citations

12.

Yokoyama, Jennifer S., Leonel Tadao Takada, Edgar Busovaca, et al.. (2015). Apolipoprotein ε4 Is Associated with Lower Brain Volume in Cognitively Normal Chinese but Not White Older Adults. PLoS ONE. 10(3). e0118338–e0118338. 13 indexed citations

13.

Li, Yun, Jason Chen, Renee Sears, et al.. (2014). An Epigenetic Signature in Peripheral Blood Associated with the Haplotype on 17q21.31, a Risk Factor for Neurodegenerative Tauopathy. PLoS Genetics. 10(3). e1004211–e1004211. 54 indexed citations

14.

Almeida, Sandra, Eduardo Gascon, Hélène Tran, et al.. (2013). Modeling key pathological features of frontotemporal dementia with C9ORF72 repeat expansion in iPSC-derived human neurons. Acta Neuropathologica. 126(3). 385–399. 251 indexed citations

15.

Fong, Helen, Chengzhong Wang, Johanna Knöferle, et al.. (2013). Genetic Correction of Tauopathy Phenotypes in Neurons Derived from Human Induced Pluripotent Stem Cells. Stem Cell Reports. 1(3). 226–234. 89 indexed citations

16.

Perry, David C., Manja Lehmann, Jennifer S. Yokoyama, et al.. (2013). Progranulin Mutations as Risk Factors for Alzheimer Disease. JAMA Neurology. 70(6). 774–774. 98 indexed citations

17.

Almeida, Sandra, Zhijun Zhang, Giangennaro Coppola, et al.. (2012). Induced Pluripotent Stem Cell Models of Progranulin-Deficient Frontotemporal Dementia Uncover Specific Reversible Neuronal Defects. Cell Reports. 2(5). 1471–1471. 3 indexed citations

18.

Gennatas, Efstathios D., Jeremy A. Cholfin, Juan Zhou, et al.. (2012). COMT Val ¹⁵⁸ Met genotype influences neurodegeneration within dopamine-innervated brain structures. Neurology. 78(21). 1663–1669. 26 indexed citations

19.

Coppola, Giovanni, Anna Karydas, Rosa Rademakers, et al.. (2008). Gene expression study on peripheral blood identifies progranulin mutations. Annals of Neurology. 64(1). 92–96. 70 indexed citations

20.

Winton, Matthew J., Vivianna M. Van Deerlin, Linda K. Kwong, et al.. (2008). A90V TDP‐43 variant results in the aberrant localization of TDP‐43 in vitro. FEBS Letters. 582(15). 2252–2256. 89 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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