Yu‐Yan Hwang
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Epidemiology top 10%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
- Epidemiology 15
- Hepatitis B Virus Studies 7
- Fungal Infections and Studies 5
- Hematology 12
- Hematopoietic Stem Cell Transplantation 5
- Acute Myeloid Leukemia Research 3
- Co-authors
- Yok‐Lam Kwong (26 shared papers)Harinder Gill (14 shared papers)Thomas S. Y. Chan (13 shared papers)Ching‐Lung Lai (5 shared papers)Wai‐Kay Seto (6 shared papers)Man‐Fung Yuen (6 shared papers)James Fung (4 shared papers)Kevin Sze-Hang Liu (3 shared papers)
- Journals
- Annals of Hematology (5 papers)Cancer (2 papers)Journal of Clinical Oncology (2 papers)American Journal of Hematology (2 papers)Virology Journal (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yu‐Yan Hwang
36 papers receiving 759 citations
Peers
Comparison fields: 5 of 80
- Hepatology 307
- Epidemiology 391
- Hematology 110
- Oncology 138
- Infectious Diseases 87
Countries citing papers authored by Yu‐Yan Hwang
This map shows the geographic impact of Yu‐Yan Hwang'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 Yu‐Yan Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Yan Hwang more than expected).
Fields of papers citing papers by Yu‐Yan Hwang
This network shows the impact of papers produced by Yu‐Yan Hwang. 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 Yu‐Yan Hwang. The network helps show where Yu‐Yan Hwang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐Yan Hwang, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 229 | |
| 2 | 1995 | 88 | |
| 3 | 2016 | 63 | |
| 4 | 2016 | 52 | |
| 5 | 2018 | 44 | |
| 6 | 2002 | 42 | |
| 7 | 2017 | 39 | |
| 8 | 2018 | 25 | |
| 9 | 2020 | 23 | |
| 10 | 2019 | 19 | |
| 11 | 2013 | 17 | |
| 12 | 2012 | 16 | |
| 13 | 2016 | 15 | |
| 14 | 2014 | 14 | |
| 15 | 2015 | 13 | |
| 16 | 2018 | 10 | |
| 17 | 2013 | 9 | |
| 18 | 2015 | 9 | |
| 19 | 2023 | 5 | |
| 20 | 2010 | 5 |
About Yu‐Yan Hwang
Yu‐Yan Hwang is a scholar working on Epidemiology, Hematology, Oncology, Pathology and Forensic Medicine and Hepatology, having authored 37 papers that have together received 779 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (7 papers), Hepatitis C virus research (7 papers), Viral-associated cancers and disorders (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Hematopoietic Stem Cell Transplantation (5 papers), Fungal Infections and Studies (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Hepatology (307 citations), Epidemiology (391 citations), Hematology (110 citations), Oncology (138 citations) and Infectious Diseases (87 citations). Yu‐Yan Hwang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yok‐Lam Kwong, Harinder Gill, Thomas S. Y. Chan, Ching‐Lung Lai, Wai‐Kay Seto, Man‐Fung Yuen, James Fung, Kevin Sze-Hang Liu, Danny Ka‐Ho Wong and Albert K. W. Lie. Their work appears in journals such as Annals of Hematology, Cancer, Journal of Clinical Oncology, American Journal of Hematology and Virology Journal.
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.