Hsiu‐Yin Chiang
- Surgery top 5%
- Epidemiology top 10%
- Infectious Diseases top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Medicine top 5%
- Co-authors
- Loreen A. HerwaldtMarin L. SchweizerChin‐Chi KuoAmy BlevinsEli N. PerencevichDaniel J. DiekemaJean M. PottingerJeremy D.W. Greenlee
- Topics
- Chronic Kidney Disease and Diabetes (11 papers)Dialysis and Renal Disease Management (10 papers)Surgical site infection prevention (8 papers)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Hsiu‐Yin Chiang
60 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 122
- Surgery 680
- Epidemiology 332
- Infectious Diseases 292
- Cardiology and Cardiovascular Medicine 189
- Molecular Medicine 146
Countries citing papers authored by Hsiu‐Yin Chiang
This map shows the geographic impact of Hsiu‐Yin Chiang'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 Hsiu‐Yin Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsiu‐Yin Chiang more than expected).
Fields of papers citing papers by Hsiu‐Yin Chiang
This network shows the impact of papers produced by Hsiu‐Yin Chiang. 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 Hsiu‐Yin Chiang. The network helps show where Hsiu‐Yin Chiang may publish in the future.
Co-authorship network of co-authors of Hsiu‐Yin Chiang
This figure shows the co-authorship network connecting the top 25 collaborators of Hsiu‐Yin Chiang. A scholar is included among the top collaborators of Hsiu‐Yin Chiang 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 Hsiu‐Yin Chiang. Hsiu‐Yin Chiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 26 | |
| 10 | 37 | |
| 11 | Incidence and Outcomes Associated With Clostridium difficile Infections: A Systematic Review and Meta-analysis | 7 |
| 12 | 26 | |
| 13 | 7 | |
| 14 | 15 | |
| 15 | 39 | |
| 16 | 10 | |
| 17 | 11 | |
| 18 | 46 | |
| 19 | 28 | |
| 20 | 160 |
About Hsiu‐Yin Chiang
Hsiu‐Yin Chiang is a scholar working on Nephrology, Applied Microbiology and Biotechnology and Critical Care and Intensive Care Medicine, having authored 66 papers that have together received 1.7k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (11 papers), Dialysis and Renal Disease Management (10 papers) and Surgical site infection prevention (8 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (95 citations), Molecular Medicine (146 citations) and Health Informatics (27 citations). Hsiu‐Yin Chiang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Loreen A. Herwaldt, Marin L. Schweizer, Chin‐Chi Kuo, Amy Blevins, Eli N. Perencevich, Daniel J. Diekema, Jean M. Pottinger, Jeremy D.W. Greenlee, Joseph E. Cavanaugh and Edward H. Cho. Their work appears in journals such as JAMA, Journal of Clinical Investigation and Nature Communications.
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.