Jay Han
Impact in
- Neurology top 2%
- Traumatic Brain Injury and Neurovascular Disturbances
- Intracranial Aneurysms: Treatment and Complications
-
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
Papers in
- Neurology 19
- Traumatic Brain Injury and Neurovascular Disturbances 10
- Intracranial Aneurysms: Treatment and Complications 9
-
- Advanced MRI Techniques and Applications 10
- Co-authors
- Joseph A. FisherDavid J. MikulisJulien PoublancAdrian P. CrawleyDaniel M. MandellMarat SlessarevAlexandra MardimaeMichael Tymianski
- Journals
- Stroke (6 papers)The Journal of Physiology (2 papers)Investigative Ophthalmology & Visual Science (2 papers)LWT (2 papers)Brain (2 papers)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Jay Han
50 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 111
- Neurology 705
- Radiology, Nuclear Medicine and Imaging 999
- Food Science 481
- Pulmonary and Respiratory Medicine 626
- Cognitive Neuroscience 355
Countries citing papers authored by Jay Han
This map shows the geographic impact of Jay Han'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 Jay Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Han more than expected).
Fields of papers citing papers by Jay Han
This network shows the impact of papers produced by Jay Han. 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 Jay Han. The network helps show where Jay Han may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jay Han, 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 | 2024 | 13 | |
| 2 | 2021 | 59 | |
| 3 | 2019 | 60 | |
| 4 | 2018 | 9 | |
| 5 | 2018 | 95 | |
| 6 | 2017 | 69 | |
| 7 | 2017 | 15 | |
| 8 | 2016 | 57 | |
| 9 | 2015 | 45 | |
| 10 | 2014 | 10 | |
| 11 | 2014 | 7 | |
| 12 | 2011 | 76 | |
| 13 | 2011 | 40 | |
| 14 | 2010 | 3 | |
| 15 | 2010 | 67 | |
| 16 | 2010 | 62 | |
| 17 | 2008 | 90 | |
| 18 | 2008 | 121 | |
| 19 | 2008 | 47 | |
| 20 | 2007 | 83 |
About Jay Han
Jay Han is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Food Science and Emergency Medicine, having authored 50 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (13 papers), Advanced MRI Techniques and Applications (10 papers), Traumatic Brain Injury and Neurovascular Disturbances (10 papers), Intracranial Aneurysms: Treatment and Complications (9 papers), Proteins in Food Systems (8 papers), Food composition and properties (5 papers), Moyamoya disease diagnosis and treatment (5 papers) and Phytase and its Applications (5 papers). The work is most often cited by research in Neurology (705 citations), Radiology, Nuclear Medicine and Imaging (999 citations), Food Science (481 citations), Pulmonary and Respiratory Medicine (626 citations) and Cognitive Neuroscience (355 citations). Jay Han has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Joseph A. Fisher, David J. Mikulis, Julien Poublanc, Adrian P. Crawley, Daniel M. Mandell, Marat Slessarev, Alexandra Mardimae, Michael Tymianski, Marcela Jarpa–Parra and Zhigang Tian. Their work appears in journals such as Stroke, The Journal of Physiology, Investigative Ophthalmology & Visual Science, LWT and Brain.
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.