Yun-Xian Ho
- General Health Professions top 5%
- Health Information Management top 2%
- Physiology
- Applied Psychology top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Shelagh A. MulvaneyKevin B. JohnsonQingxia ChenHui NianBarron L. PattersonBrendan H. O’ConnorCoda L. DavisonLyndsay A. Nelson
- Topics
- Mobile Health and mHealth Applications (6 papers)Electronic Health Records Systems (5 papers)Health Literacy and Information Accessibility (5 papers)
- Journals
- Journal of Medical Internet ResearchAcademic MedicineJournal of the American Medical Informatics Association
- Partner nations
- United States
In The Last Decade
Yun-Xian Ho
11 papers receiving 364 citations
Peers
Comparison fields: 5 of 71
- General Health Professions 222
- Health Information Management 74
- Physiology 63
- Applied Psychology 59
- Public Health, Environmental and Occupational Health 45
Countries citing papers authored by Yun-Xian Ho
This map shows the geographic impact of Yun-Xian Ho'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 Yun-Xian Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun-Xian Ho more than expected).
Fields of papers citing papers by Yun-Xian Ho
This network shows the impact of papers produced by Yun-Xian Ho. 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 Yun-Xian Ho. The network helps show where Yun-Xian Ho may publish in the future.
Co-authorship network of co-authors of Yun-Xian Ho
This figure shows the co-authorship network connecting the top 25 collaborators of Yun-Xian Ho. A scholar is included among the top collaborators of Yun-Xian Ho 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 Yun-Xian Ho. Yun-Xian Ho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 75 | |
| 2 | 76 | |
| 3 | 33 | |
| 4 | 17 | |
| 5 | 46 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 57 | |
| 9 | Adapting comparative effectiveness research summaries for delivery to patients and providers through a patient portal. | 7 |
| 10 | 41 | |
| 11 | 13 |
About Yun-Xian Ho
Yun-Xian Ho is a scholar working on Health Information Management, Family Practice and Geriatrics and Gerontology, having authored 11 papers that have together received 372 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (6 papers), Electronic Health Records Systems (5 papers) and Health Literacy and Information Accessibility (5 papers). The work is most often cited by research in Family Practice (37 citations), Health Information Management (74 citations) and Applied Psychology (59 citations). Yun-Xian Ho has collaborated with scholars based in United States. Frequent co-authors include Shelagh A. Mulvaney, Kevin B. Johnson, Qingxia Chen, Hui Nian, Barron L. Patterson, Brendan H. O’Connor, Coda L. Davison, Lyndsay A. Nelson, Chandra Y. Osborn and Tebeb Gebretsadik. Their work appears in journals such as Journal of Medical Internet Research, Academic Medicine and Journal of the American Medical Informatics Association.
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.