Jay J. Han
Impact in
- Sensory Systems top 2%
- Hearing, Cochlea, Tinnitus, Genetics
- Rehabilitation top 1%
- Stroke Rehabilitation and Recovery
Papers in
-
- Muscle Physiology and Disorders 24
-
- Muscle activation and electromyography studies 11
- Prosthetics and Rehabilitation Robotics 6
- Co-authors
- Richard T. Abresch (27 shared papers)Craig M. McDonald (18 shared papers)Alina Nicorici (20 shared papers)Erik Henricson (12 shared papers)Gregorij Kurillo (20 shared papers)Růžena Bajcsy (13 shared papers)Gregory T. Carter (14 shared papers)Gary Elfring (3 shared papers)
- Journals
- Muscle & Nerve (16 papers)Physical Medicine and Rehabilitation Clinics of North America (9 papers)Neurology (6 papers)Neuromuscular Disorders (6 papers)American Journal of Physical Medicine & Rehabilitation (4 papers)
- Partner nations
- United StatesSouth KoreaNetherlands
In The Last Decade
Jay J. Han
95 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 147
- Sensory Systems 207
- Rehabilitation 249
- Genetics 256
- Molecular Biology 1000
- Neurology 196
Countries citing papers authored by Jay J. Han
This map shows the geographic impact of Jay J. 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 J. 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 J. Han more than expected).
Fields of papers citing papers by Jay J. Han
This network shows the impact of papers produced by Jay J. 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 J. Han. The network helps show where Jay J. Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay J. 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
Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 297 | |
| 2 | 2016 | 201 | |
| 3 | 2013 | 140 | |
| 4 | 2010 | 135 | |
| 5 | 2011 | 120 | |
| 6 | 2013 | 120 | |
| 7 | 1999 | 100 | |
| 8 | 2013 | 88 | |
| 9 | 2013 | 82 | |
| 10 | 2016 | 78 | |
| 11 | 1999 | 73 | |
| 12 | 2003 | 72 | |
| 13 | 2016 | 61 | |
| 14 | 2005 | 60 | |
| 15 | 2012 | 59 | |
| 16 | 2009 | 55 | |
| 17 | 2015 | 55 | |
| 18 | 2014 | 55 | |
| 19 | 1997 | 53 | |
| 20 | 2012 | 47 |
About Jay J. Han
Jay J. Han is a scholar working on Molecular Biology, Biomedical Engineering, Neurology, Rehabilitation and Cellular and Molecular Neuroscience, having authored 100 papers that have together received 2.9k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (24 papers), Stroke Rehabilitation and Recovery (12 papers), Muscle activation and electromyography studies (11 papers), Neurogenetic and Muscular Disorders Research (7 papers), Prosthetics and Rehabilitation Robotics (6 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Mobile Health and mHealth Applications (5 papers) and Human Pose and Action Recognition (5 papers). The work is most often cited by research in Sensory Systems (207 citations), Rehabilitation (249 citations), Genetics (256 citations), Molecular Biology (1000 citations) and Neurology (196 citations). Jay J. Han has collaborated with scholars based in United States, South Korea and Netherlands. Frequent co-authors include Richard T. Abresch, Craig M. McDonald, Alina Nicorici, Erik Henricson, Gregorij Kurillo, Růžena Bajcsy, Gregory T. Carter, Gary Elfring, A. Reha and Evan de Bie. Their work appears in journals such as Muscle & Nerve, Physical Medicine and Rehabilitation Clinics of North America, Neurology, Neuromuscular Disorders and American Journal of Physical Medicine & Rehabilitation.
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.