Hang Wang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cell Biology top 10%
- Proteoglycans and glycosaminoglycans research
Papers in
-
- Extracellular vesicles in disease 6
- Circular RNAs in diseases 5
- RNA modifications and cancer 3
- Angiogenesis and VEGF in Cancer 3
-
- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 3
- Co-authors
- Yasuhiro Katagiri (2 shared papers)Herbert M. Geller (2 shared papers)Thomas E. McCann (2 shared papers)Zhexue Qin (2 shared papers)Jie Liu (2 shared papers)Yang Yu (2 shared papers)Jian‐Kang Zhu (2 shared papers)Wei Li (2 shared papers)
- Journals
- Journal of Oncology (2 papers)Molecular Cancer Therapeutics (1 paper)Frontiers in Microbiology (1 paper)PLoS ONE (1 paper)ACS Medicinal Chemistry Letters (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Hang Wang
28 papers receiving 865 citations
Peers
Comparison fields: 5 of 102
- Cancer Research 192
- Cell Biology 202
- Developmental Neuroscience 51
- Cellular and Molecular Neuroscience 198
- Molecular Biology 468
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 194 | |
| 2 | 2007 | 103 | |
| 3 | 2012 | 92 | |
| 4 | 2011 | 81 | |
| 5 | 2019 | 66 | |
| 6 | 2012 | 55 | |
| 7 | 2021 | 48 | |
| 8 | 2017 | 47 | |
| 9 | 2012 | 47 | |
| 10 | 2023 | 22 | |
| 11 | 2015 | 16 | |
| 12 | 2023 | 14 | |
| 13 | 2022 | 13 | |
| 14 | 2016 | 11 | |
| 15 | 2016 | 8 | |
| 16 | 2011 | 8 | |
| 17 | 2018 | 8 | |
| 18 | 2020 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2022 | 6 |
About Hang Wang
Hang Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 870 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Extracellular vesicles in disease (6 papers), Circular RNAs in diseases (5 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Angiogenesis and VEGF in Cancer (3 papers), AI in cancer detection (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Cancer Research (192 citations), Cell Biology (202 citations), Developmental Neuroscience (51 citations), Cellular and Molecular Neuroscience (198 citations) and Molecular Biology (468 citations). Hang Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yasuhiro Katagiri, Herbert M. Geller, Thomas E. McCann, Zhexue Qin, Jie Liu, Yang Yu, Jian‐Kang Zhu, Wei Li, Lan Huang and Tracy L. Laabs. Their work appears in journals such as Journal of Oncology, Molecular Cancer Therapeutics, Frontiers in Microbiology, PLoS ONE and ACS Medicinal Chemistry Letters.
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.