Linya Wang
Impact in
- Epidemiology top 10%
- Autophagy in Disease and Therapy
- Liver Disease Diagnosis and Treatment
- Hepatology top 10%
- Hepatitis C virus research
Papers in
-
- Retinoids in leukemia and cellular processes 4
- Epidemiology 10
- Autophagy in Disease and Therapy 8
- Liver Disease Diagnosis and Treatment 2
- Co-authors
- Jing‐hsiung James Ou (7 shared papers)Yongjun Tian (3 shared papers)Ji‐Young Lee (2 shared papers)Stephanie T. Chan (1 shared paper)Keigo Machida (1 shared paper)Dexi Chen (1 shared paper)Kai Liu (1 shared paper)Michael M. C. Lai (1 shared paper)
- Journals
- PLoS Pathogens (2 papers)European Journal of Pharmacology (1 paper)NeuroMolecular Medicine (1 paper)DNA and Cell Biology (1 paper)Journal of Virology (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Linya Wang
21 papers receiving 571 citations
Peers
Comparison fields: 5 of 71
- Epidemiology 334
- Hepatology 77
- Cancer Research 100
- Physiology 30
- Cell Biology 89
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 214 | |
| 2 | 2015 | 108 | |
| 3 | 2017 | 53 | |
| 4 | 2015 | 51 | |
| 5 | 2017 | 24 | |
| 6 | 2022 | 19 | |
| 7 | 2018 | 17 | |
| 8 | 2023 | 12 | |
| 9 | 2024 | 11 | |
| 10 | 2024 | 8 | |
| 11 | 2024 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2015 | 6 | |
| 16 | 2019 | 6 | |
| 17 | 2022 | 4 | |
| 18 | 2025 | 4 | |
| 19 | 2025 | 2 | |
| 20 | 2023 | 2 |
About Linya Wang
Linya Wang is a scholar working on Molecular Biology, Epidemiology, Hepatology, Pulmonary and Respiratory Medicine and Cell Biology, having authored 23 papers that have together received 572 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (8 papers), Retinoids in leukemia and cellular processes (4 papers), Ferroptosis and cancer prognosis (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Hepatitis C virus research (3 papers), Liver Disease Diagnosis and Treatment (2 papers), interferon and immune responses (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Epidemiology (334 citations), Hepatology (77 citations), Cancer Research (100 citations), Physiology (30 citations) and Cell Biology (89 citations). Linya Wang has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Jing‐hsiung James Ou, Yongjun Tian, Ji‐Young Lee, Stephanie T. Chan, Keigo Machida, Dexi Chen, Kai Liu, Michael M. C. Lai, Helene Minyi Liu and Wenfei Yu. Their work appears in journals such as PLoS Pathogens, European Journal of Pharmacology, NeuroMolecular Medicine, DNA and Cell Biology and Journal of Virology.
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.