Jacky Au

2.6k total citations · 1 hit paper
26 papers, 1.7k citations indexed

About

Jacky Au is a scholar working on Cognitive Neuroscience, Genetics and Experimental and Cognitive Psychology. According to data from OpenAlex, Jacky Au has authored 26 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 8 papers in Genetics and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Jacky Au's work include Genetics and Neurodevelopmental Disorders (8 papers), Transcranial Magnetic Stimulation Studies (7 papers) and Neural and Behavioral Psychology Studies (7 papers). Jacky Au is often cited by papers focused on Genetics and Neurodevelopmental Disorders (8 papers), Transcranial Magnetic Stimulation Studies (7 papers) and Neural and Behavioral Psychology Studies (7 papers). Jacky Au collaborates with scholars based in United States, Italy and Canada. Jacky Au's co-authors include Susanne M. Jaeggi, Martin Buschkuehl, John Reece, Nancy Tsai, Greg J. Duncan, Randi J. Hagerman, John Jonides, Paul J. Hagerman, Benjamin Katz and Elizabeth Berry‐Kravis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Magnetic Resonance in Medicine and The Journal of Pediatrics.

In The Last Decade

Jacky Au

26 papers receiving 1.6k citations

Hit Papers

Improving fluid intelligence with training on working mem... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacky Au United States 18 870 611 414 295 215 26 1.7k
Richard A. I. Bethlehem United Kingdom 26 1.6k 1.9× 494 0.8× 291 0.7× 74 0.3× 225 1.0× 76 2.7k
Brent C. Vander Wyk United States 16 1.0k 1.2× 221 0.4× 212 0.5× 91 0.3× 106 0.5× 25 1.6k
Christina M. Karns United States 14 1.4k 1.6× 256 0.4× 637 1.5× 69 0.2× 221 1.0× 23 1.9k
Emily G. Jacobs United States 22 716 0.8× 225 0.4× 182 0.4× 80 0.3× 111 0.5× 58 1.8k
Toshio Munesue Japan 25 1.1k 1.3× 177 0.3× 245 0.6× 43 0.1× 100 0.5× 62 1.7k
Josh Snyder United States 11 1.4k 1.6× 241 0.4× 215 0.5× 170 0.6× 68 0.3× 11 1.9k
David A. Ziegler United States 21 1.8k 2.0× 161 0.3× 542 1.3× 114 0.4× 250 1.2× 34 2.5k
Vanessa Nieratschker Germany 25 379 0.4× 201 0.3× 281 0.7× 179 0.6× 352 1.6× 63 1.4k
Kolja Schiltz Germany 31 848 1.0× 320 0.5× 158 0.4× 336 1.1× 456 2.1× 78 2.9k
Marcus Heldmann Germany 27 1.1k 1.2× 361 0.6× 48 0.1× 214 0.7× 126 0.6× 122 2.2k

Countries citing papers authored by Jacky Au

Since Specialization
Citations

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

Fields of papers citing papers by Jacky Au

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacky Au

This figure shows the co-authorship network connecting the top 25 collaborators of Jacky Au. A scholar is included among the top collaborators of Jacky Au 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 Jacky Au. Jacky Au 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.
Au, Jacky. (2022). Higher vaccination rates predict reduction in SARS-CoV-2 transmission across the United States. Infection. 50(5). 1255–1266. 5 indexed citations
2.
Au, Jacky, et al.. (2022). The benefits of simultaneous tDCS and working memory training on transfer outcomes: A systematic review and meta-analysis. Brain stimulation. 15(6). 1541–1551. 26 indexed citations
3.
Au, Jacky, et al.. (2021). Post‐training stimulation of the right dorsolateral prefrontal cortex impairs working memory training performance. Journal of Neuroscience Research. 99(10). 2351–2363. 9 indexed citations
4.
Au, Jacky, et al.. (2020). Quantifying the Difference Between Active and Passive Control Groups in Cognitive Interventions Using Two Meta-analytical Approaches. Journal of Cognitive Enhancement. 4(2). 192–210. 58 indexed citations
5.
Au, Jacky, et al.. (2019). Does the multiple-breath washout test need to be measured before spirometry?. ERJ Open Research. 5(1). 230–2018. 1 indexed citations
6.
Ratjen, Anina, Jacky Au, Susan Carpenter, Philip John, & Félix Ratjen. (2019). Growth of Pulmonary Arteriovenous Malformations in Pediatric Patients with Hereditary Hemorrhagic Telangiectasia. The Journal of Pediatrics. 208. 279–281. 12 indexed citations
7.
Au, Jacky, Susanne M. Jaeggi, & Martin Buschkuehl. (2018). Effects of non-symbolic arithmetic training on symbolic arithmetic and the approximate number system. Acta Psychologica. 185. 1–12. 15 indexed citations
8.
Flores, L R, Jenni Deveau, David Lee, et al.. (2017). The Benefits and Challenges of Implementing Motivational Features to Boost Cognitive Training Outcome. Journal of Cognitive Enhancement. 1(4). 491–507. 43 indexed citations
9.
Cresswell, Andrew G., et al.. (2017). Cerebellar transcranial direct current stimulation improves adaptive postural control. Clinical Neurophysiology. 129(1). 33–41. 46 indexed citations
10.
Au, Jacky & John Reece. (2017). The relationship between chronotype and depressive symptoms: A meta-analysis. Journal of Affective Disorders. 218. 93–104. 224 indexed citations
11.
Au, Jacky, et al.. (2016). Enhancing Working Memory Training with Transcranial Direct Current Stimulation. Journal of Cognitive Neuroscience. 28(9). 1419–1432. 113 indexed citations
12.
Schneider, Andrea, et al.. (2015). A feasibility trial of Cogmed working memory training in fragile X syndrome. Journal of Pediatric Genetics. 3(3). 147–156. 17 indexed citations
13.
Au, Jacky, et al.. (2014). Improving fluid intelligence with training on working memory: a meta-analysis. Psychonomic Bulletin & Review. 22(2). 366–377. 477 indexed citations breakdown →
14.
Au, Jacky, et al.. (2013). Prevalence and risk of migraine headaches in adult fragile X premutation carriers. Clinical Genetics. 84(6). 546–551. 35 indexed citations
15.
Winarni, Tri Indah, Weerasak Chonchaiya, E. D. Adams, et al.. (2012). Sertraline May Improve Language Developmental Trajectory in Young Children with Fragile X Syndrome: A Retrospective Chart Review. SHILAP Revista de lepidopterología. 2012. 1–8. 40 indexed citations
16.
Hagerman, Randi J., Julie C. Lauterborn, Jacky Au, & Elizabeth Berry‐Kravis. (2011). Fragile X Syndrome and Targeted Treatment Trials. Results and problems in cell differentiation. 54. 297–335. 87 indexed citations
17.
Greco, Claudia, Michael R. Hunsaker, Izumi Maezawa, et al.. (2011). Neuropathologic features in the hippocampus and cerebellum of three older men with fragile X syndrome. Molecular Autism. 2(1). 2–2. 64 indexed citations
18.
Hagerman, Randi J., Jacky Au, & Paul J. Hagerman. (2011). FMR1 premutation and full mutation molecular mechanisms related to autism. Journal of Neurodevelopmental Disorders. 3(3). 211–224. 63 indexed citations
19.
Chonchaiya, Weerasak, Jacky Au, Andrea Schneider, et al.. (2011). Increased prevalence of seizures in boys who were probands with the FMR1 premutation and co-morbid autism spectrum disorder. Human Genetics. 131(4). 581–589. 86 indexed citations
20.
Chonchaiya, Weerasak, Jacky Au, Yi Mu, et al.. (2010). Clinical involvement in daughters of men with fragile X‐associated tremor ataxia syndrome. Clinical Genetics. 78(1). 38–46. 52 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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