Hang Wang
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Orthodontics top 5%
Papers in
-
- Bone Metabolism and Diseases 7
- Oncology 41
- Cancer Immunotherapy and Biomarkers 8
- Co-authors
- Hua Qu (13 shared papers)Huacong Deng (10 shared papers)Chang‐Jer Wu (8 shared papers)Jiefei Shen (12 shared papers)Huili Wei (9 shared papers)Xuelei Ma (10 shared papers)Zhipeng Li (1 shared paper)Yamei Chen (1 shared paper)
- Journals
- Cell Biology International (4 papers)Frontiers in Oncology (4 papers)PLoS ONE (3 papers)Archives of Oral Biology (2 papers)RSC Advances (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Hang Wang
147 papers receiving 2.7k citations
Hang Wang's Hit Papers
Peers
Comparison fields: 5 of 157
- Cancer Research 387
- Orthodontics 91
- Hepatology 158
- Oncology 461
- Oral Surgery 105
Countries citing papers authored by Hang Wang
This map shows the geographic impact of Hang 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 Hang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Wang more than expected).
Fields of papers citing papers by Hang Wang
This network shows the impact of papers produced by Hang 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 Hang Wang. The network helps show where Hang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hang 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 164 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 132 | |
| 2 | 2022 | 118 | |
| 3 | 2011 | 114 | |
| 4 | Metabolomic machine learning predictor for diagnosis and prognosis of gastric cancer Hit paper breakdown → | 2024 | 98 |
| 5 | 2015 | 88 | |
| 6 | 2022 | 82 | |
| 7 | 2020 | 76 | |
| 8 | 2022 | 70 | |
| 9 | 2011 | 67 | |
| 10 | 2015 | 66 | |
| 11 | 2018 | 65 | |
| 12 | 2019 | 62 | |
| 13 | 2019 | 57 | |
| 14 | 2017 | 54 | |
| 15 | 2018 | 47 | |
| 16 | 2007 | 46 | |
| 17 | 2016 | 44 | |
| 18 | 2015 | 43 | |
| 19 | 2021 | 41 | |
| 20 | 2016 | 37 |
About Hang Wang
Hang Wang is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Epidemiology, having authored 164 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), Retinal Imaging and Analysis (9 papers), Cancer Immunotherapy and Biomarkers (8 papers), Glaucoma and retinal disorders (8 papers), Retinal and Optic Conditions (8 papers), Cerebral Venous Sinus Thrombosis (7 papers), Bone Metabolism and Diseases (7 papers) and Cancer, Hypoxia, and Metabolism (7 papers). The work is most often cited by research in Cancer Research (387 citations), Orthodontics (91 citations), Hepatology (158 citations), Oncology (461 citations) and Oral Surgery (105 citations). Hang Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Hua Qu, Huacong Deng, Chang‐Jer Wu, Jiefei Shen, Huili Wei, Xuelei Ma, Zhipeng Li, Yamei Chen, Quanyi Lu and Yi-Lin Chan. Their work appears in journals such as Cell Biology International, Frontiers in Oncology, PLoS ONE, Archives of Oral Biology and RSC Advances.
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.