Yen‐Hsuan Ni
- Epidemiology top 0.2%
- Hepatology top 0.1%
- Surgery top 1%
- Molecular Biology top 5%
- Pulmonary and Respiratory Medicine top 2%
- Co-authors
- Mei‐Hwei ChangHong‐Yuan HsuHuey‐Ling ChenDing‐Shinn ChenJia‐Feng WuPei‐Jer ChenYu‐Cheng LinYung‐Ming Jeng
- Topics
- Hepatitis B Virus Studies (108 papers)Hepatitis C virus research (86 papers)Liver Disease Diagnosis and Treatment (83 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesAnnals of Internal Medicine
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Yen‐Hsuan Ni
334 papers receiving 10.0k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Epidemiology 6.1k
- Hepatology 4.9k
- Surgery 2.3k
- Molecular Biology 1.3k
- Pulmonary and Respiratory Medicine 976
Countries citing papers authored by Yen‐Hsuan Ni
This map shows the geographic impact of Yen‐Hsuan Ni'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 Yen‐Hsuan Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yen‐Hsuan Ni more than expected).
Fields of papers citing papers by Yen‐Hsuan Ni
This network shows the impact of papers produced by Yen‐Hsuan Ni. 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 Yen‐Hsuan Ni. The network helps show where Yen‐Hsuan Ni may publish in the future.
Co-authorship network of co-authors of Yen‐Hsuan Ni
This figure shows the co-authorship network connecting the top 25 collaborators of Yen‐Hsuan Ni. A scholar is included among the top collaborators of Yen‐Hsuan Ni 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 Yen‐Hsuan Ni. Yen‐Hsuan Ni 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 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 20 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 18 | |
| 13 | 190 | |
| 14 | 7 | |
| 15 | Intensity of Renal Support for Acute Kidney Injury in the Critically Ill | 4 |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | Absence or delayed appearance of hepatitis B core antibody in chronic hepatitis B surface antigen carrier children | 0 |
| 20 | 2 |
About Yen‐Hsuan Ni
Yen‐Hsuan Ni is a scholar working on Hepatology, Epidemiology and Gastroenterology, having authored 347 papers that have together received 10.2k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (108 papers), Hepatitis C virus research (86 papers) and Liver Disease Diagnosis and Treatment (83 papers). The work is most often cited by research in Hepatology (4.9k citations), Epidemiology (6.1k citations) and Gastroenterology (472 citations). Yen‐Hsuan Ni has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Mei‐Hwei Chang, Hong‐Yuan Hsu, Huey‐Ling Chen, Ding‐Shinn Chen, Jia‐Feng Wu, Pei‐Jer Chen, Yu‐Cheng Lin, Yung‐Ming Jeng, Pi‐Feng Chang and Li‐Min Huang. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Annals of Internal Medicine.
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.