Jay Han

3.3k citations
50 papers · 2.6k · h-index 28

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

Jay Han

50 papers receiving 2.5k citations

Peers

Jay Han
Comparison fields: 5 of 111
  • Neurology 705
  • Radiology, Nuclear Medicine and Imaging 999
  • Food Science 481
  • Pulmonary and Respiratory Medicine 626
  • Cognitive Neuroscience 355
Replace J. de Jong with:
J. de Jong Netherlands
Tetsuya Maeda Japan
Kari Murros Finland
Seong Ho Kim South Korea
Anne Donnet France
Soo Hyun Cho South Korea
Mehran Ghaemi Iran
Kentaro Ono Japan
Laura de Magistris Italy
Teresa Esposito Italy
Jay Han relative to J. de Jong Netherlands J. de Jong's profile →
Citations per field
00.5×8.3×
J. de Jong · 1×
Citations per year

Countries citing papers authored by Jay Han

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Jay Han Line = papers co-authored together Jay Han links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007252
2 2008178
3 2014170
4 2019126
5 2008121
6 2012111
7 201895
8 200890
9 201089
10 200783
11 201176
12 201173
13 201072
14 201769
15 201067
16 201062
17 201960
18 202159
19 201657
20 201253

About Jay Han

Jay Han is a scholar working on Neurology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Plant Science and Food Science, 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), Advanced Neuroimaging Techniques and Applications (5 papers) and Moyamoya disease diagnosis and treatment (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.

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