Hui‐Ju Young
- Physiology top 10%
- Pathology and Forensic Medicine top 10%
- Orthopedics and Sports Medicine top 5%
- Complementary and alternative medicine top 2%
- Biomedical Engineering
- Co-authors
- Kevin K. McCullyQun ZhaoNathan T. JenkinsJames H. RimmerMelissa L. EricksonTerence E. RyanByron LaiJared T. Brizendine
- Topics
- Stroke Rehabilitation and Recovery (12 papers)Multiple Sclerosis Research Studies (9 papers)Cerebral Palsy and Movement Disorders (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyJournal of Applied Physiology
- Partner nations
- United StatesIndia
In The Last Decade
Hui‐Ju Young
33 papers receiving 992 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Physiology 281
- Pathology and Forensic Medicine 214
- Orthopedics and Sports Medicine 204
- Complementary and alternative medicine 185
- Biomedical Engineering 179
Countries citing papers authored by Hui‐Ju Young
This map shows the geographic impact of Hui‐Ju Young'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 Hui‐Ju Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui‐Ju Young more than expected).
Fields of papers citing papers by Hui‐Ju Young
This network shows the impact of papers produced by Hui‐Ju Young. 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 Hui‐Ju Young. The network helps show where Hui‐Ju Young may publish in the future.
Co-authorship network of co-authors of Hui‐Ju Young
This figure shows the co-authorship network connecting the top 25 collaborators of Hui‐Ju Young. A scholar is included among the top collaborators of Hui‐Ju Young based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hui‐Ju Young. Hui‐Ju Young is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 29 | |
| 10 | 12 | |
| 11 | 13 | |
| 12 | 36 | |
| 13 | 37 | |
| 14 | 39 | |
| 15 | 100 | |
| 16 | 21 | |
| 17 | 2 | |
| 18 | 11 | |
| 19 | 24 | |
| 20 | 58 |
About Hui‐Ju Young
Hui‐Ju Young is a scholar working on Rehabilitation, Pathology and Forensic Medicine and Occupational Therapy, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (12 papers), Multiple Sclerosis Research Studies (9 papers) and Cerebral Palsy and Movement Disorders (9 papers). The work is most often cited by research in Orthopedics and Sports Medicine (204 citations), Complementary and alternative medicine (185 citations) and Rehabilitation (152 citations). Hui‐Ju Young has collaborated with scholars based in United States and India. Frequent co-authors include Kevin K. McCully, Qun Zhao, Nathan T. Jenkins, James H. Rimmer, Melissa L. Erickson, Terence E. Ryan, Byron Lai, Jared T. Brizendine, Tapan Mehta and C. Scott Bickel. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Journal of Applied Physiology.
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.