Beili Wang
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Cancer Genomics and Diagnostics 8
- Cancer, Lipids, and Metabolism 5
- Co-authors
- Baishen Pan (62 shared papers)Wei Guo (30 shared papers)Yi Wan (7 shared papers)Xin‐Rong Yang (24 shared papers)Jianying Hu (5 shared papers)Yan Zhou (14 shared papers)Jia Fan (18 shared papers)Jian Zhou (11 shared papers)
- Journals
- Journal of Clinical Laboratory Analysis (7 papers)Clinica Chimica Acta (7 papers)Environmental Science & Technology (7 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (7 papers)Journal of Clinical Oncology (3 papers)
- Partner nations
- ChinaEthiopiaUnited States
In The Last Decade
Beili Wang
112 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 133
- Cancer Research 353
- Hepatology 150
- Physiology 90
- Health, Toxicology and Mutagenesis 201
- Oncology 350
Countries citing papers authored by Beili Wang
This map shows the geographic impact of Beili 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 Beili Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beili Wang more than expected).
Fields of papers citing papers by Beili Wang
This network shows the impact of papers produced by Beili 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 Beili Wang. The network helps show where Beili Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Beili 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 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 196 | |
| 2 | 2017 | 152 | |
| 3 | 2019 | 85 | |
| 4 | 2016 | 80 | |
| 5 | 2016 | 79 | |
| 6 | 2021 | 57 | |
| 7 | 2013 | 53 | |
| 8 | 2020 | 49 | |
| 9 | 2015 | 49 | |
| 10 | 2024 | 47 | |
| 11 | 2016 | 46 | |
| 12 | 2014 | 41 | |
| 13 | 2021 | 41 | |
| 14 | 2014 | 40 | |
| 15 | 2017 | 38 | |
| 16 | 2022 | 31 | |
| 17 | 2020 | 29 | |
| 18 | 2022 | 29 | |
| 19 | 2021 | 28 | |
| 20 | 2018 | 27 |
About Beili Wang
Beili Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 124 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Petroleum Processing and Analysis (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Ferroptosis and cancer prognosis (5 papers), Cancer, Lipids, and Metabolism (5 papers), Colorectal Cancer Treatments and Studies (4 papers), Cancer-related Molecular Pathways (4 papers) and Hydrocarbon exploration and reservoir analysis (4 papers). The work is most often cited by research in Cancer Research (353 citations), Hepatology (150 citations), Physiology (90 citations), Health, Toxicology and Mutagenesis (201 citations) and Oncology (350 citations). Beili Wang has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Baishen Pan, Wei Guo, Yi Wan, Xin‐Rong Yang, Jianying Hu, Yan Zhou, Jia Fan, Jian Zhou, Xiaolu Ma and Wei Guo. Their work appears in journals such as Journal of Clinical Laboratory Analysis, Clinica Chimica Acta, Environmental Science & Technology, Clinical Chemistry and Laboratory Medicine (CCLM) and Journal of Clinical Oncology.
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.