Zusen Wang
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Ubiquitin and proteasome pathways 2
- Protein Degradation and Inhibitors 2
-
- Hepatocellular Carcinoma Treatment and Prognosis 8
- Co-authors
- Liqun Wu (11 shared papers)Xiang Ma (4 shared papers)Likun Zhuang (4 shared papers)Liqun Wu (7 shared papers)Bing Han (4 shared papers)Chao Yang (2 shared papers)Xin Wang (2 shared papers)Yunjin Zang (4 shared papers)
- Journals
- BMC Cancer (3 papers)Medicine (2 papers)Cancer Research (2 papers)Gene (1 paper)BioMed Research International (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Zusen Wang
35 papers receiving 451 citations
Peers
Comparison fields: 5 of 64
- Hepatology 96
- Cancer Research 159
- Molecular Biology 174
- Oncology 56
- Epidemiology 55
Countries citing papers authored by Zusen Wang
This map shows the geographic impact of Zusen 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 Zusen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zusen Wang more than expected).
Fields of papers citing papers by Zusen Wang
This network shows the impact of papers produced by Zusen 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 Zusen Wang. The network helps show where Zusen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zusen 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 78 | |
| 2 | 2017 | 37 | |
| 3 | 2017 | 35 | |
| 4 | 2021 | 30 | |
| 5 | 2013 | 24 | |
| 6 | 2016 | 23 | |
| 7 | 2017 | 20 | |
| 8 | 2019 | 19 | |
| 9 | 2017 | 18 | |
| 10 | 2016 | 17 | |
| 11 | 2016 | 16 | |
| 12 | 2019 | 15 | |
| 13 | 2018 | 15 | |
| 14 | 2017 | 15 | |
| 15 | 2019 | 12 | |
| 16 | 2013 | 11 | |
| 17 | 2015 | 10 | |
| 18 | 2018 | 9 | |
| 19 | 2015 | 9 | |
| 20 | 2025 | 5 |
About Zusen Wang
Zusen Wang is a scholar working on Molecular Biology, Hepatology, Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 37 papers that have together received 456 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Cancer-related molecular mechanisms research (3 papers), Ubiquitin and proteasome pathways (2 papers), Cancer Genomics and Diagnostics (2 papers), Protein Degradation and Inhibitors (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Obsessive-Compulsive Spectrum Disorders (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). The work is most often cited by research in Hepatology (96 citations), Cancer Research (159 citations), Molecular Biology (174 citations), Oncology (56 citations) and Epidemiology (55 citations). Zusen Wang has collaborated with scholars based in China and United States. Frequent co-authors include Liqun Wu, Xiang Ma, Likun Zhuang, Liqun Wu, Bing Han, Chao Yang, Xin Wang, Yunjin Zang, Sheng Dong and Hao Zou. Their work appears in journals such as BMC Cancer, Medicine, Cancer Research, Gene and BioMed Research International.
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.