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
-
- Epigenetics and DNA Methylation 5
- Bone Metabolism and Diseases 5
- Oncology 34
- Cancer Cells and Metastasis 5
- 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)Yamei Chen (1 shared paper)Quanyi Lu (1 shared paper)
- Journals
- Frontiers in Oncology (4 papers)Cell Biology International (4 papers)PLoS ONE (3 papers)Brain and Behavior (3 papers)Cancer Management and Research (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Hang Wang
154 papers receiving 2.9k citations
Hang Wang's Hit Papers
Peers
Comparison fields: 5 of 154
- Cancer Research 313
- Orthodontics 79
- Hepatology 142
- Oncology 421
- Molecular Biology 920
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 170 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 140 | |
| 2 | 2022 | 126 | |
| 3 | 2011 | 126 | |
| 4 | Metabolomic machine learning predictor for diagnosis and prognosis of gastric cancer Hit paper breakdown → | 2024 | 122 |
| 5 | 2015 | 92 | |
| 6 | 2022 | 89 | |
| 7 | 2020 | 76 | |
| 8 | 2022 | 73 | |
| 9 | 2011 | 71 | |
| 10 | 2018 | 68 | |
| 11 | 2015 | 66 | |
| 12 | 2019 | 62 | |
| 13 | 2019 | 58 | |
| 14 | 2017 | 58 | |
| 15 | 2018 | 47 | |
| 16 | 2007 | 46 | |
| 17 | 2021 | 46 | |
| 18 | 2016 | 44 | |
| 19 | 2015 | 42 | |
| 20 | 2021 | 40 |
About Hang Wang
Hang Wang is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Physiology, having authored 170 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), Cerebral Venous Sinus Thrombosis (6 papers), Neuropeptides and Animal Physiology (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Pain Mechanisms and Treatments (6 papers), Cancer Cells and Metastasis (5 papers), Epigenetics and DNA Methylation (5 papers) and Bone Metabolism and Diseases (5 papers). The work is most often cited by research in Cancer Research (313 citations), Orthodontics (79 citations), Hepatology (142 citations), Oncology (421 citations) and Molecular Biology (920 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, Yamei Chen, Quanyi Lu, Zhipeng Li and Tsung‐Lin Li. Their work appears in journals such as Frontiers in Oncology, Cell Biology International, PLoS ONE, Brain and Behavior and Cancer Management and Research.
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.