Daniel Felsky

4.0k total citations
79 papers, 1.9k citations indexed

About

Daniel Felsky is a scholar working on Molecular Biology, Psychiatry and Mental health and Physiology. According to data from OpenAlex, Daniel Felsky has authored 79 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 22 papers in Psychiatry and Mental health and 21 papers in Physiology. Recurrent topics in Daniel Felsky's work include Alzheimer's disease research and treatments (18 papers), Genetic Associations and Epidemiology (12 papers) and Neuroinflammation and Neurodegeneration Mechanisms (11 papers). Daniel Felsky is often cited by papers focused on Alzheimer's disease research and treatments (18 papers), Genetic Associations and Epidemiology (12 papers) and Neuroinflammation and Neurodegeneration Mechanisms (11 papers). Daniel Felsky collaborates with scholars based in Canada, United States and Australia. Daniel Felsky's co-authors include Aristotle N. Voineskos, Benoit H. Mulsant, Tarek K. Rajji, Philip L. De Jager, David A. Bennett, Nancy J. Lobaugh, Julie A. Schneider, Bruce G. Pollock, M. Mallar Chakravarty and James L. Kennedy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Daniel Felsky

72 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Felsky Canada 22 582 496 458 376 372 79 1.9k
Hidenaga Yamamori Japan 29 764 1.3× 341 0.7× 637 1.4× 638 1.7× 228 0.6× 103 2.5k
Robert J. Dawe United States 23 306 0.5× 541 1.1× 315 0.7× 472 1.3× 341 0.9× 55 1.9k
Paul G. Unschuld Switzerland 29 838 1.4× 469 0.9× 525 1.1× 396 1.1× 468 1.3× 76 3.0k
Jun‐ichi Iga Japan 28 698 1.2× 350 0.7× 306 0.7× 630 1.7× 128 0.3× 105 2.2k
Kazuhiko Nakayama Japan 25 586 1.0× 356 0.7× 405 0.9× 477 1.3× 160 0.4× 127 2.5k
Gabriel A. de Erausquin United States 23 557 1.0× 171 0.3× 395 0.9× 285 0.8× 228 0.6× 79 1.9k
Nancy Edwards United States 20 433 0.7× 340 0.7× 482 1.1× 336 0.9× 524 1.4× 35 2.2k
Daimei Sasayama Japan 26 324 0.6× 224 0.5× 402 0.9× 563 1.5× 170 0.5× 119 2.1k
Jennifer S. Yokoyama United States 30 741 1.3× 790 1.6× 304 0.7× 508 1.4× 73 0.2× 91 2.6k
Michiko Fujimoto Japan 30 1.2k 2.1× 223 0.4× 544 1.2× 521 1.4× 204 0.5× 72 2.7k

Countries citing papers authored by Daniel Felsky

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Felsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Felsky

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Felsky. A scholar is included among the top collaborators of Daniel Felsky 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 Daniel Felsky. Daniel Felsky 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.
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Lee, Hyo, Richard V. Pearse, Zachary M. Augur, et al.. (2025). Contributions of Genetic Variation in Astrocytes to Cell and Molecular Mechanisms of Risk and Resilience to Late‐Onset Alzheimer's Disease. Glia. 73(6). 1166–1187. 9 indexed citations
3.
Zhou, Xiaolin, et al.. (2025). 508. Cortical GABAergic Neuron Dysregulation in Schizophrenia is Age Dependent. Biological Psychiatry. 97(9). S307–S307. 1 indexed citations
4.
Sanches, Marcos, Andreea O. Diaconescu, Tarek K. Rajji, et al.. (2024). Examining the Role of Neuroticism Polygenic Risk in Late Life Cognitive Change: A UK Biobank Study. Behavioral Sciences. 14(10). 876–876.
5.
Zhukovsky, Peter, Gillian Coughlan, David A. Bennett, et al.. (2024). Genetic influences on brain and cognitive health and their interactions with cardiovascular conditions and depression. Nature Communications. 15(1). 5207–5207. 7 indexed citations
6.
Felsky, Daniel, et al.. (2024). A Systematic Review of Predictors of Vaping Cessation Among Young People. Nicotine & Tobacco Research. 27(2). 169–178. 5 indexed citations
7.
8.
Zai, Clement C., Yi Zou, Yuliya S. Nikolova, et al.. (2023). Association of polygenic risk for bipolar disorder with grey matter structure and white matter integrity in youth. Translational Psychiatry. 13(1). 322–322. 3 indexed citations
9.
Zhukovsky, Peter, Milos Milic, Michael Wainberg, et al.. (2023). Opposing brain signatures of sleep in task-based and resting-state conditions. Nature Communications. 14(1). 7927–7927. 6 indexed citations
10.
Zai, Clement C., Yuliya S. Nikolova, Daniel Felsky, et al.. (2023). Association of polygenic risk for bipolar disorder with resting-state network functional connectivity in youth with and without bipolar disorder. European Neuropsychopharmacology. 77. 38–52. 4 indexed citations
11.
Matan-Lithwick, Stuart, et al.. (2023). Multi-omic integration via similarity network fusion to detect molecular subtypes of ageing. Brain Communications. 5(2). fcad110–fcad110. 11 indexed citations
12.
Felsky, Daniel, et al.. (2023). Interactions between genetic risk for 21 neurodevelopmental and psychiatric disorders and sport activity on youth mental health. Psychiatry Research. 330. 115550–115550. 2 indexed citations
13.
Hueniken, Katrina, Graham W. Taylor, Tara Elton‐Marshall, et al.. (2021). Machine Learning–Based Predictive Modeling of Anxiety and Depressive Symptoms During 8 Months of the COVID-19 Global Pandemic: Repeated Cross-sectional Survey Study. JMIR Mental Health. 8(11). e32876–e32876. 18 indexed citations
14.
Wainberg, Michael, Samuel E. Jones, Sean Hill, et al.. (2021). Association of accelerometer-derived sleep measures with lifetime psychiatric diagnoses: A cross-sectional study of 89,205 participants from the UK Biobank. PLoS Medicine. 18(10). e1003782–e1003782. 38 indexed citations
15.
Patrick, Ellis, Marta Olah, Mariko Taga, et al.. (2021). A cortical immune network map identifies distinct microglial transcriptional programs associated with β-amyloid and Tau pathologies. Translational Psychiatry. 11(1). 50–50. 18 indexed citations
16.
Roostaei, Tina, Hans‐Ulrich Klein, Yiyi Ma, et al.. (2021). Proximal and distal effects of genetic susceptibility to multiple sclerosis on the T cell epigenome. Nature Communications. 12(1). 12 indexed citations
17.
Felsky, Daniel, Tina Roostaei, Kwangsik Nho, et al.. (2019). Neuropathological correlates and genetic architecture of microglial activation in elderly human brain. Nature Communications. 10(1). 409–409. 119 indexed citations
18.
White, Charles C., Hyun‐Sik Yang, Lei Yu, et al.. (2017). Identification of genes associated with dissociation of cognitive performance and neuropathological burden: Multistep analysis of genetic, epigenetic, and transcriptional data. PLoS Medicine. 14(4). e1002287–e1002287. 81 indexed citations
19.
Peters, Bart D., Aristotle N. Voineskos, Philip R. Szeszko, et al.. (2014). Brain White Matter Development Is Associated with a Human-Specific Haplotype Increasing the Synthesis of Long Chain Fatty Acids. Journal of Neuroscience. 34(18). 6367–6376. 24 indexed citations
20.
Voineskos, Aristotle N., Jason P. Lerch, Daniel Felsky, et al.. (2011). The ZNF804A Gene: Characterization of a Novel Neural Risk Mechanism for the Major Psychoses. Neuropsychopharmacology. 36(9). 1871–1878. 50 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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