Jack J. Lin
- Cognitive Neuroscience top 0.5%
- Neural dynamics and brain function 44
- EEG and Brain-Computer Interfaces 33
- Memory and Neural Mechanisms 22
- Functional Brain Connectivity Studies 22
- Neural and Behavioral Psychology Studies 16
- Psychiatry and Mental health top 0.5%
- Epilepsy research and treatment 32
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- Neuroscience and Neuropharmacology Research 23
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- Neurological disorders and treatments 9
- Co-authors
- Bruce P. HermannRobert T. KnightMichael SeidenbergMarco MulaRandolph F. HelfrichBrian BellJosef ParviziJeffrey D. Riley
- Partner nations
- United StatesGermanyNorway
In The Last Decade
Jack J. Lin
108 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Cognitive Neuroscience 2.9k
- Psychiatry and Mental health 1.6k
- Cellular and Molecular Neuroscience 1.2k
- Pediatrics, Perinatology and Child Health 600
- Radiology, Nuclear Medicine and Imaging 568
Countries citing papers authored by Jack J. Lin
This map shows the geographic impact of Jack J. Lin'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 Jack J. Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack J. Lin more than expected).
Fields of papers citing papers by Jack J. Lin
This network shows the impact of papers produced by Jack J. Lin. 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 Jack J. Lin. The network helps show where Jack J. Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jack J. Lin, 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 | 2025 | 3 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 9 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 20 | |
| 9 | 2021 | 8 | |
| 10 | 2021 | 36 | |
| 11 | 2020 | 15 | |
| 12 | 2019 | 13 | |
| 13 | 2019 | 83 | |
| 14 | 2018 | 7 | |
| 15 | 2018 | 118 | |
| 16 | 2018 | 26 | |
| 17 | 2016 | 2 | |
| 18 | 2016 | 14 | |
| 19 | 2012 | 7 | |
| 20 | 2011 | 121 |
About Jack J. Lin
Jack J. Lin is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Health Informatics and Pediatrics, Perinatology and Child Health, having authored 112 papers that have together received 4.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (44 papers), EEG and Brain-Computer Interfaces (33 papers), Epilepsy research and treatment (32 papers), Neuroscience and Neuropharmacology Research (23 papers), Memory and Neural Mechanisms (22 papers), Functional Brain Connectivity Studies (22 papers), Neural and Behavioral Psychology Studies (16 papers) and Neurological disorders and treatments (9 papers). The work is most often cited by research in Cognitive Neuroscience (2.9k citations), Psychiatry and Mental health (1.6k citations), Cellular and Molecular Neuroscience (1.2k citations), Pediatrics, Perinatology and Child Health (600 citations) and Radiology, Nuclear Medicine and Imaging (568 citations). Jack J. Lin has collaborated with scholars based in United States, Germany and Norway. Frequent co-authors include Bruce P. Hermann, Robert T. Knight, Michael Seidenberg, Marco Mula, Randolph F. Helfrich, Brian Bell, Josef Parvizi, Jeffrey D. Riley, Steven C. Cramer and Bryce A. Mander. Their work appears in journals such as Epilepsia, Nature Communications, Cerebral Cortex, Epilepsy & Behavior and Proceedings of the National Academy of Sciences.
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.