Keyan Wang
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
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- Ectopic Pregnancy Diagnosis and Management
- Reproductive Biology and Fertility
Papers in
- Hepatology 10
- Hepatocellular Carcinoma Treatment and Prognosis 10
- Oncology 6
- Pancreatic and Hepatic Oncology Research 4
- Co-authors
- Zhiqin Bu (8 shared papers)Yingpu Sun (2 shared papers)Wei Dai (1 shared paper)Jianxiang Shi (26 shared papers)Peng Wang (21 shared papers)Hua Ye (22 shared papers)Jie Chen (1 shared paper)Liping Dai (16 shared papers)
- Journals
- Cancer Science (5 papers)BMC Cancer (2 papers)British Journal of Cancer (2 papers)Biomarkers in Medicine (2 papers)Acta Pharmaceutica Sinica B (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Keyan Wang
50 papers receiving 612 citations
Peers
Comparison fields: 5 of 43
- Hepatology 45
- Public Health, Environmental and Occupational Health 81
- Reproductive Medicine 27
- Pathology and Forensic Medicine 44
- Oncology 37
Countries citing papers authored by Keyan Wang
This map shows the geographic impact of Keyan 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 Keyan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keyan Wang more than expected).
Fields of papers citing papers by Keyan Wang
This network shows the impact of papers produced by Keyan 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 Keyan Wang. The network helps show where Keyan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Keyan 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 85 | |
| 2 | 2016 | 72 | |
| 3 | 2014 | 65 | |
| 4 | 2016 | 55 | |
| 5 | 2020 | 42 | |
| 6 | 2018 | 32 | |
| 7 | 2019 | 28 | |
| 8 | 2020 | 23 | |
| 9 | 2021 | 23 | |
| 10 | 2016 | 19 | |
| 11 | 2022 | 17 | |
| 12 | 2024 | 16 | |
| 13 | 2023 | 11 | |
| 14 | 2021 | 9 | |
| 15 | 2023 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2025 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2022 | 6 |
About Keyan Wang
Keyan Wang is a scholar working on Hepatology, Oncology, Pathology and Forensic Medicine, Reproductive Medicine and Cardiology and Cardiovascular Medicine, having authored 52 papers that have together received 621 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Pancreatic and Hepatic Oncology Research (4 papers), Esophageal Cancer Research and Treatment (3 papers), Gastric Cancer Management and Outcomes (3 papers), Cardiac Ischemia and Reperfusion (2 papers), Vitamin D Research Studies (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Ectopic Pregnancy Diagnosis and Management (2 papers). The work is most often cited by research in Hepatology (45 citations), Public Health, Environmental and Occupational Health (81 citations), Reproductive Medicine (27 citations), Pathology and Forensic Medicine (44 citations) and Oncology (37 citations). Keyan Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhiqin Bu, Yingpu Sun, Wei Dai, Jianxiang Shi, Peng Wang, Hua Ye, Jie Chen, Liping Dai, Yiping Li and Xiaolong Wang. Their work appears in journals such as Cancer Science, BMC Cancer, British Journal of Cancer, Biomarkers in Medicine and Acta Pharmaceutica Sinica B.
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.