Guobin Wu
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in ⓘ
- Hepatology 15
- Hepatocellular Carcinoma Treatment and Prognosis 15
- Liver Disease and Transplantation 4
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- RNA modifications and cancer 6
- Co-authors
- Mengchao Wu (4 shared papers)Jian Zhao (4 shared papers)Rongyun Mai (9 shared papers)Anmin Liang (4 shared papers)Jiazhou Ye (14 shared papers)Bin Lü (3 shared papers)Yajun Guo (3 shared papers)Bin Lu (3 shared papers)
- Journals
- Gastroenterology (2 papers)BMC Cancer (2 papers)Therapeutics and Clinical Risk Management (2 papers)Hepatology (2 papers)Cancer Management and Research (2 papers)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Guobin Wu
33 papers receiving 894 citations
Peers
Comparison fields: 5 of 85
- Hepatology 254
- Cancer Research 270
- Epidemiology 249
- Oncology 184
- Molecular Biology 448
Countries citing papers authored by Guobin Wu
This map shows the geographic impact of Guobin Wu'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 Guobin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guobin Wu more than expected).
Fields of papers citing papers by Guobin Wu
This network shows the impact of papers produced by Guobin Wu. 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 Guobin Wu. The network helps show where Guobin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Guobin Wu, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 116 | |
| 2 | 2009 | 92 | |
| 3 | 2015 | 73 | |
| 4 | 2008 | 58 | |
| 5 | 2021 | 57 | |
| 6 | 2012 | 57 | |
| 7 | 2017 | 46 | |
| 8 | 2008 | 45 | |
| 9 | 2020 | 42 | |
| 10 | 2019 | 42 | |
| 11 | 2010 | 41 | |
| 12 | 2008 | 39 | |
| 13 | 2019 | 28 | |
| 14 | 2015 | 26 | |
| 15 | 2020 | 20 | |
| 16 | 2020 | 20 | |
| 17 | 2022 | 15 | |
| 18 | 2021 | 14 | |
| 19 | 2024 | 10 | |
| 20 | 2020 | 9 |
About Guobin Wu
Guobin Wu is a scholar working on Hepatology, Molecular Biology, Oncology, Epidemiology and Cancer Research, having authored 35 papers that have together received 909 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (15 papers), Liver Disease Diagnosis and Treatment (9 papers), RNA modifications and cancer (6 papers), Cancer, Lipids, and Metabolism (5 papers), Cancer-related molecular mechanisms research (4 papers), Liver Disease and Transplantation (4 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers). The work is most often cited by research in Hepatology (254 citations), Cancer Research (270 citations), Epidemiology (249 citations), Oncology (184 citations) and Molecular Biology (448 citations). Guobin Wu has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Mengchao Wu, Jian Zhao, Rongyun Mai, Anmin Liang, Jiazhou Ye, Bin Lü, Yajun Guo, Bin Lu, Jianxin Dai and Yajun Guo. Their work appears in journals such as Gastroenterology, BMC Cancer, Therapeutics and Clinical Risk Management, Hepatology and Cancer Management and Research.
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.