Bin Yan Wu
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
-
- Lung Cancer Treatments and Mutations
- Prostate Cancer Diagnosis and Treatment
- Renal cell carcinoma treatment
Papers in
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- Lung Cancer Treatments and Mutations 11
- Renal cell carcinoma treatment 8
- Prostate Cancer Diagnosis and Treatment 7
- Hepatology 13
- Hepatitis C virus research 7
- Hepatocellular Carcinoma Treatment and Prognosis 6
- Co-authors
- Qiang Zhang (5 shared papers)Zhenlei Zha (13 shared papers)Hu Zhao (11 shared papers)Lizheng Shi (1 shared paper)Huafeng Chen (4 shared papers)Jun Yuan (11 shared papers)Jie Sun (1 shared paper)Ming Ye (5 shared papers)
- Journals
- Frontiers in Pharmacology (9 papers)PLoS ONE (6 papers)Frontiers in Oncology (4 papers)Clinical Therapeutics (3 papers)Value in Health (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Bin Yan Wu
165 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 126
- Hepatology 195
- Pulmonary and Respiratory Medicine 677
- Oncology 523
- Internal Medicine 41
- Cancer Research 148
Countries citing papers authored by Bin Yan Wu
This map shows the geographic impact of Bin Yan 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 Bin Yan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Yan Wu more than expected).
Fields of papers citing papers by Bin Yan Wu
This network shows the impact of papers produced by Bin Yan 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 Bin Yan Wu. The network helps show where Bin Yan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Yan 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 172 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 147 | |
| 2 | 2009 | 135 | |
| 3 | 2018 | 106 | |
| 4 | 2012 | 91 | |
| 5 | 2013 | 84 | |
| 6 | 2022 | 76 | |
| 7 | 2019 | 66 | |
| 8 | 2018 | 65 | |
| 9 | 2017 | 64 | |
| 10 | 2018 | 62 | |
| 11 | 2018 | 56 | |
| 12 | 2018 | 56 | |
| 13 | 2018 | 55 | |
| 14 | 2011 | 52 | |
| 15 | 2010 | 52 | |
| 16 | 2021 | 50 | |
| 17 | 2020 | 49 | |
| 18 | 2016 | 47 | |
| 19 | 2023 | 47 | |
| 20 | 2018 | 46 |
About Bin Yan Wu
Bin Yan Wu is a scholar working on Pulmonary and Respiratory Medicine, Hepatology, Oncology, Internal Medicine and Epidemiology, having authored 172 papers that have together received 3.0k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (11 papers), Hepatitis B Virus Studies (9 papers), Renal cell carcinoma treatment (8 papers), Venous Thromboembolism Diagnosis and Management (7 papers), Hepatitis C virus research (7 papers), Prostate Cancer Diagnosis and Treatment (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Hepatology (195 citations), Pulmonary and Respiratory Medicine (677 citations), Oncology (523 citations), Internal Medicine (41 citations) and Cancer Research (148 citations). Bin Yan Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Qiang Zhang, Zhenlei Zha, Hu Zhao, Lizheng Shi, Huafeng Chen, Jun Yuan, Jie Sun, Ming Ye, Lijin Zhang and Shun Lü. Their work appears in journals such as Frontiers in Pharmacology, PLoS ONE, Frontiers in Oncology, Clinical Therapeutics and Value in Health.
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.