Jonathan M. Chan
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Memory and Neural Mechanisms
- Visual perception and processing mechanisms
Papers in
-
- Neural dynamics and brain function 7
- Memory and Neural Mechanisms 4
- Functional Brain Connectivity Studies 4
- Visual perception and processing mechanisms 2
- Co-authors
- Marcello G. P. Rosa (9 shared papers)David H. Reser (6 shared papers)Katrina H. Worthy (8 shared papers)Piotr Majka (5 shared papers)Daniel K. Wójcik (3 shared papers)Partha P. Mitra (2 shared papers)Sophia Bakola (3 shared papers)Lauretta Passarelli (1 shared paper)
- Journals
- Brain Structure and Function (2 papers)Nature Communications (1 paper)Frontiers in Systems Neuroscience (1 paper)The Journal of Comparative Neurology (1 paper)NeuroImage (1 paper)
- Partner nations
- AustraliaUnited StatesPoland
In The Last Decade
Jonathan M. Chan
11 papers receiving 250 citations
Peers
Comparison fields: 5 of 58
- Cognitive Neuroscience 183
- Developmental Biology 8
- Cellular and Molecular Neuroscience 65
- Neurology 25
- Developmental Neuroscience 11
Countries citing papers authored by Jonathan M. Chan
This map shows the geographic impact of Jonathan M. Chan'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 Jonathan M. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan M. Chan more than expected).
Fields of papers citing papers by Jonathan M. Chan
This network shows the impact of papers produced by Jonathan M. Chan. 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 Jonathan M. Chan. The network helps show where Jonathan M. Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan M. Chan, 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 | 2020 | 72 | |
| 2 | 2016 | 43 | |
| 3 | 2014 | 41 | |
| 4 | 2018 | 26 | |
| 5 | 2020 | 24 | |
| 6 | 2020 | 19 | |
| 7 | 2022 | 8 | |
| 8 | 2019 | 7 | |
| 9 | 2019 | 5 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 3 |
About Jonathan M. Chan
Jonathan M. Chan is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 11 papers that have together received 251 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Memory and Neural Mechanisms (4 papers), Functional Brain Connectivity Studies (4 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Visual perception and processing mechanisms (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Point processes and geometric inequalities (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Cognitive Neuroscience (183 citations), Developmental Biology (8 citations), Cellular and Molecular Neuroscience (65 citations), Neurology (25 citations) and Developmental Neuroscience (11 citations). Jonathan M. Chan has collaborated with scholars based in Australia, United States and Poland. Frequent co-authors include Marcello G. P. Rosa, David H. Reser, Katrina H. Worthy, Piotr Majka, Daniel K. Wójcik, Partha P. Mitra, Sophia Bakola, Lauretta Passarelli, Ricardo Gattass and Xiao‐Jing Wang. Their work appears in journals such as Brain Structure and Function, Nature Communications, Frontiers in Systems Neuroscience, The Journal of Comparative Neurology and NeuroImage.
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.