Linya Wang
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Epidemiology top 10%
- Autophagy in Disease and Therapy
- Liver Disease Diagnosis and Treatment
Papers in
-
- Retinoids in leukemia and cellular processes 4
- Epidemiology 10
- Autophagy in Disease and Therapy 8
- 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)Dexi Chen (1 shared paper)Keigo Machida (1 shared paper)Kai Liu (1 shared paper)Helene Minyi Liu (1 shared paper)
- Journals
- PLoS Pathogens (2 papers)Forests (1 paper)Pharmacogenomics (1 paper)Biological Chemistry (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Linya Wang
21 papers receiving 539 citations
Peers
Comparison fields: 5 of 72
- Hepatology 77
- Epidemiology 331
- Physiology 31
- Cancer Research 102
- Cell Biology 93
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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 204 | |
| 2 | 2015 | 104 | |
| 3 | 2017 | 52 | |
| 4 | 2015 | 50 | |
| 5 | 2017 | 23 | |
| 6 | 2022 | 18 | |
| 7 | 2018 | 17 | |
| 8 | 2023 | 11 | |
| 9 | 2024 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2019 | 6 | |
| 15 | 2015 | 6 | |
| 16 | 2024 | 4 | |
| 17 | 2025 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2023 | 2 | |
| 20 | 2025 | 1 |
About Linya Wang
Linya Wang is a scholar working on Molecular Biology, Epidemiology, Hepatology, Pulmonary and Respiratory Medicine and Cell Biology, having authored 22 papers that have together received 540 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (8 papers), Retinoids in leukemia and cellular processes (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Ferroptosis and cancer prognosis (3 papers), Hepatitis C virus research (3 papers), Cancer, Lipids, and Metabolism (2 papers), Acute Myeloid Leukemia Research (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Hepatology (77 citations), Epidemiology (331 citations), Physiology (31 citations), Cancer Research (102 citations) and Cell Biology (93 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, Dexi Chen, Keigo Machida, Kai Liu, Helene Minyi Liu, Michael M. C. Lai and Huyong Zheng. Their work appears in journals such as PLoS Pathogens, Forests, Pharmacogenomics, Biological Chemistry and Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids.
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.