Siling Wang
Impact in
- Hepatology top 5%
- Hepatitis Viruses Studies and Epidemiology
-
- Phytochemicals and Antioxidant Activities
Papers in
- Hepatology 17
- Hepatitis Viruses Studies and Epidemiology 17
-
- SARS-CoV-2 and COVID-19 Research 8
- Co-authors
- Zheng Zizheng (22 shared papers)Ningshao Xia (20 shared papers)Zimin Tang (18 shared papers)Jinghai Zhang (2 shared papers)Tianyi Wang (1 shared paper)Wei Li (1 shared paper)Wei Cai (3 shared papers)Ying Dong (10 shared papers)
- Journals
- Journal of Hepatology (3 papers)Frontiers in Immunology (3 papers)Proceedings of the National Academy of Sciences (3 papers)Emerging Microbes & Infections (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Siling Wang
32 papers receiving 455 citations
Peers
Comparison fields: 5 of 66
- Hepatology 192
- Biochemistry 29
- Infectious Diseases 59
- Pharmacology 38
- Animal Science and Zoology 14
Countries citing papers authored by Siling Wang
This map shows the geographic impact of Siling 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 Siling Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siling Wang more than expected).
Fields of papers citing papers by Siling Wang
This network shows the impact of papers produced by Siling 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 Siling Wang. The network helps show where Siling Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Siling 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 93 | |
| 2 | 2015 | 50 | |
| 3 | 2020 | 39 | |
| 4 | 2015 | 29 | |
| 5 | 2022 | 27 | |
| 6 | 2022 | 27 | |
| 7 | 2018 | 23 | |
| 8 | 2007 | 18 | |
| 9 | 2022 | 18 | |
| 10 | 2016 | 17 | |
| 11 | 2024 | 15 | |
| 12 | 2024 | 12 | |
| 13 | 2005 | 11 | |
| 14 | 2016 | 11 | |
| 15 | 2022 | 11 | |
| 16 | 2023 | 11 | |
| 17 | 2018 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2023 | 5 |
About Siling Wang
Siling Wang is a scholar working on Hepatology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pharmacology, having authored 36 papers that have together received 469 indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (17 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Gene expression and cancer classification (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Genomic variations and chromosomal abnormalities (2 papers), Hepatitis B Virus Studies (2 papers), Image and Signal Denoising Methods (2 papers) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Hepatology (192 citations), Biochemistry (29 citations), Infectious Diseases (59 citations), Pharmacology (38 citations) and Animal Science and Zoology (14 citations). Siling Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zheng Zizheng, Ningshao Xia, Zimin Tang, Jinghai Zhang, Tianyi Wang, Wei Li, Wei Cai, Ying Dong, Min Zhao and Xiaojing Li. Their work appears in journals such as Journal of Hepatology, Frontiers in Immunology, Proceedings of the National Academy of Sciences, Emerging Microbes & Infections and Scientific Reports.
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.