Linya Wang
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Epidemiology top 10%
- Autophagy in Disease and Therapy
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in
- Epidemiology 14
- Autophagy in Disease and Therapy 8
- Liver Disease Diagnosis and Treatment 6
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- Hepatitis C virus research 5
- Co-authors
- Jing‐hsiung James Ou (8 shared papers)Ji‐Young Lee (2 shared papers)Dexi Chen (1 shared paper)Keigo Machida (1 shared paper)Kai Liu (1 shared paper)Stephanie T. Chan (1 shared paper)Fengxia Zhang (8 shared papers)Helene Minyi Liu (1 shared paper)
- Journals
- PLoS Pathogens (2 papers)British Journal of Haematology (2 papers)Journal of Agricultural and Food Chemistry (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (1 paper)European Journal of Pharmacology (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Linya Wang
23 papers receiving 639 citations
Peers
Comparison fields: 5 of 48
- Hepatology 105
- Epidemiology 328
- Oncology 69
- Cancer Research 41
- Molecular Biology 137
Countries citing papers authored by Linya Wang
This map shows the geographic impact of Linya Wang'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 Linya Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linya Wang more than expected).
Fields of papers citing papers by Linya Wang
This network shows the impact of papers produced by Linya Wang. 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 Linya Wang. The network helps show where Linya Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Linya Wang, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 218 | |
| 2 | 2015 | 112 | |
| 3 | 2017 | 55 | |
| 4 | 2015 | 52 | |
| 5 | 2021 | 37 | |
| 6 | 2017 | 25 | |
| 7 | 2022 | 21 | |
| 8 | 2018 | 17 | |
| 9 | 2023 | 16 | |
| 10 | 2024 | 15 | |
| 11 | 2024 | 12 | |
| 12 | 2024 | 10 | |
| 13 | 2024 | 9 | |
| 14 | 2019 | 8 | |
| 15 | 2021 | 8 | |
| 16 | 2015 | 6 | |
| 17 | 2025 | 6 | |
| 18 | 2025 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2017 | 1 |
About Linya Wang
Linya Wang is a scholar working on Epidemiology, Hepatology, Molecular Biology, Pharmacology and Geriatrics and Gerontology, having authored 25 papers that have together received 640 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (8 papers), Liver Disease Diagnosis and Treatment (6 papers), Hepatitis C virus research (5 papers), Retinoids in leukemia and cellular processes (5 papers), Ferroptosis and cancer prognosis (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Alzheimer's disease research and treatments (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Hepatology (105 citations), Epidemiology (328 citations), Oncology (69 citations), Cancer Research (41 citations) and Molecular Biology (137 citations). Linya Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jing‐hsiung James Ou, Ji‐Young Lee, Dexi Chen, Keigo Machida, Kai Liu, Stephanie T. Chan, Fengxia Zhang, Helene Minyi Liu, Michael M. C. Lai and Hongshuai Liu. Their work appears in journals such as PLoS Pathogens, British Journal of Haematology, Journal of Agricultural and Food Chemistry, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and European Journal of Pharmacology.
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.