Matthew Ku
- Cognitive Neuroscience top 5%
- Developmental and Educational Psychology top 10%
- Genetics
- Psychiatry and Mental health
- Cellular and Molecular Neuroscience
- Co-authors
- Timothy P. L. RobertsLisa BlaskeyJ. Christopher EdgarLuke BloyEmily S. KuschnerRussell G. PortJeffrey BermanSusan E. Levy
- Topics
- Autism Spectrum Disorder Research (13 papers)Genetics and Neurodevelopmental Disorders (5 papers)Neural dynamics and brain function (4 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Matthew Ku
17 papers receiving 389 citations
Peers
Comparison fields: 5 of 47
- Cognitive Neuroscience 360
- Developmental and Educational Psychology 88
- Genetics 82
- Psychiatry and Mental health 57
- Cellular and Molecular Neuroscience 38
Countries citing papers authored by Matthew Ku
This map shows the geographic impact of Matthew Ku'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 Matthew Ku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Ku more than expected).
Fields of papers citing papers by Matthew Ku
This network shows the impact of papers produced by Matthew Ku. 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 Matthew Ku. The network helps show where Matthew Ku may publish in the future.
Co-authorship network of co-authors of Matthew Ku
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Ku. A scholar is included among the top collaborators of Matthew Ku 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 Matthew Ku. Matthew Ku is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 14 | |
| 6 | 19 | |
| 7 | 8 | |
| 8 | 10 | |
| 9 | 41 | |
| 10 | 25 | |
| 11 | 44 | |
| 12 | 40 | |
| 13 | 17 | |
| 14 | Examining the feasibility of an online cognitive rehabilitation program in haematology survivorship care to reduce chemotherapy-related cognitive impairment | 2 |
| 15 | 64 | |
| 16 | 48 | |
| 17 | Prospective MEG biomarkers in ASD: pre-clinical evidence and clinical promise of electrophysiological signatures. | 38 |
About Matthew Ku
Matthew Ku is a scholar working on Cognitive Neuroscience, Developmental Neuroscience and Developmental and Educational Psychology, having authored 17 papers that have together received 390 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (13 papers), Genetics and Neurodevelopmental Disorders (5 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Cognitive Neuroscience (360 citations), Developmental and Educational Psychology (88 citations) and Sensory Systems (19 citations). Matthew Ku has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Timothy P. L. Roberts, Lisa Blaskey, J. Christopher Edgar, Luke Bloy, Emily S. Kuschner, Russell G. Port, Jeffrey Berman, Susan E. Levy, Mina Kim and Junko Matsuzaki. Their work appears in journals such as Journal of Autism and Developmental Disorders, Human Brain Mapping and Neuroreport.
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.