Michael Quach
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Autism Spectrum Disorder Research
- Neural dynamics and brain function
- Psychiatry and Mental health top 10%
- Epilepsy research and treatment
Papers in
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- EEG and Brain-Computer Interfaces 5
- Neural dynamics and brain function 2
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- Epilepsy research and treatment 4
- Co-authors
- J. Lloyd Holder (3 shared papers)Satish Agadi (3 shared papers)Daniel J. Curry (6 shared papers)Nuri F. Ince (6 shared papers)Candan Gürses (2 shared papers)Thomas R. Henry (3 shared papers)Zhiyi Sha (3 shared papers)Su Liu (1 shared paper)
- Journals
- Epilepsia Open (2 papers)Epilepsia (1 paper)Clinical EEG and Neuroscience (1 paper)Brain (1 paper)Journal of Neural Engineering (1 paper)
- Partner nations
- United StatesTürkiyeChina
In The Last Decade
Michael Quach
17 papers receiving 342 citations
Peers
Comparison fields: 5 of 56
- Cognitive Neuroscience 139
- Psychiatry and Mental health 87
- Cellular and Molecular Neuroscience 54
- Genetics 80
- Clinical Biochemistry 18
Countries citing papers authored by Michael Quach
This map shows the geographic impact of Michael Quach'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 Michael Quach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Quach more than expected).
Fields of papers citing papers by Michael Quach
This network shows the impact of papers produced by Michael Quach. 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 Michael Quach. The network helps show where Michael Quach may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Quach, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 75 | |
| 2 | 2016 | 54 | |
| 3 | 2019 | 48 | |
| 4 | 2016 | 34 | |
| 5 | 2019 | 34 | |
| 6 | 2014 | 20 | |
| 7 | 2013 | 17 | |
| 8 | 2011 | 13 | |
| 9 | 2022 | 13 | |
| 10 | 2017 | 9 | |
| 11 | 2020 | 8 | |
| 12 | 2017 | 7 | |
| 13 | 2012 | 6 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 2 | |
| 16 | 2010 | 2 | |
| 17 | 2015 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2022 | 0 |
About Michael Quach
Michael Quach is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Neurology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 347 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (5 papers), Epilepsy research and treatment (4 papers), Neural dynamics and brain function (2 papers), Pharmacological Effects and Toxicity Studies (2 papers), Metalloenzymes and iron-sulfur proteins (1 paper), Neuroscience and Neural Engineering (1 paper), Neurological disorders and treatments (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Cognitive Neuroscience (139 citations), Psychiatry and Mental health (87 citations), Cellular and Molecular Neuroscience (54 citations), Genetics (80 citations) and Clinical Biochemistry (18 citations). Michael Quach has collaborated with scholars based in United States, Türkiye and China. Frequent co-authors include J. Lloyd Holder, Satish Agadi, Daniel J. Curry, Nuri F. Ince, Candan Gürses, Thomas R. Henry, Zhiyi Sha, Su Liu, Sudhakar Tummala and Sujit S. Prabhu. Their work appears in journals such as Epilepsia Open, Epilepsia, Clinical EEG and Neuroscience, Brain and Journal of Neural Engineering.
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.