Weibin Wang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
Papers in
- Oncology 42
- Pancreatic and Hepatic Oncology Research 31
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- RNA modifications and cancer 7
- Epigenetics and DNA Methylation 6
- Circular RNAs in diseases 5
- Co-authors
- Yupei Zhao (13 shared papers)Bangbo Zhao (33 shared papers)Gang Yang (2 shared papers)Qin Cheng (5 shared papers)Lei You (2 shared papers)Jinshou Yang (1 shared paper)Guangyu Chen (1 shared paper)Bo Ren (1 shared paper)
- Journals
- Scientific Reports (4 papers)World Journal of Surgical Oncology (4 papers)BMC Cancer (3 papers)Cancer Cell International (3 papers)BMC Surgery (3 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Weibin Wang
80 papers receiving 1.5k citations
Weibin Wang's Hit Papers
Peers
Comparison fields: 5 of 101
- Cancer Research 575
- Oncology 502
- Hepatology 100
- Molecular Biology 758
- Immunology 149
Countries citing papers authored by Weibin Wang
This map shows the geographic impact of Weibin 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 Weibin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weibin Wang more than expected).
Fields of papers citing papers by Weibin Wang
This network shows the impact of papers produced by Weibin 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 Weibin Wang. The network helps show where Weibin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Weibin 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Metabolism of pancreatic cancer: paving the way to better anticancer strategies Hit paper breakdown → | 2020 | 283 |
| 2 | 2016 | 95 | |
| 3 | 2013 | 79 | |
| 4 | 2019 | 77 | |
| 5 | 2014 | 77 | |
| 6 | 2016 | 71 | |
| 7 | 2019 | 47 | |
| 8 | 2015 | 43 | |
| 9 | 2013 | 42 | |
| 10 | 2016 | 36 | |
| 11 | 2021 | 32 | |
| 12 | 2018 | 31 | |
| 13 | 2010 | 30 | |
| 14 | 2021 | 28 | |
| 15 | 2014 | 28 | |
| 16 | 2023 | 27 | |
| 17 | 2021 | 26 | |
| 18 | 2023 | 25 | |
| 19 | 2018 | 23 | |
| 20 | 2020 | 22 |
About Weibin Wang
Weibin Wang is a scholar working on Oncology, Molecular Biology, Surgery, Cancer Research and Pulmonary and Respiratory Medicine, having authored 86 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (31 papers), MicroRNA in disease regulation (10 papers), Pancreatitis Pathology and Treatment (8 papers), RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (7 papers), Epigenetics and DNA Methylation (6 papers), Hepatitis B Virus Studies (5 papers) and Circular RNAs in diseases (5 papers). The work is most often cited by research in Cancer Research (575 citations), Oncology (502 citations), Hepatology (100 citations), Molecular Biology (758 citations) and Immunology (149 citations). Weibin Wang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Yupei Zhao, Bangbo Zhao, Gang Yang, Qin Cheng, Lei You, Jinshou Yang, Guangyu Chen, Bo Ren, Fangyu Zhao and Huanyu Wang. Their work appears in journals such as Scientific Reports, World Journal of Surgical Oncology, BMC Cancer, Cancer Cell International and BMC Surgery.
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.