Hao‐Chen Wang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Immune cells in cancer 4
- IL-33, ST2, and ILC Pathways 2
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- Autophagy in Disease and Therapy 6
- Co-authors
- Yan‐Shen Shan (16 shared papers)Ying‐Jui Chao (8 shared papers)Ya‐Chin Hou (10 shared papers)Ya-Chin Hou (5 shared papers)Tai‐Jan Chiu (3 shared papers)Chih‐Jung Wang (3 shared papers)Chengliang Luo (3 shared papers)Zufeng Wang (3 shared papers)
- Journals
- Theranostics (2 papers)Cancers (2 papers)Clinical Epigenetics (1 paper)International Journal of Molecular Medicine (1 paper)Frontiers in Cellular Neuroscience (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Hao‐Chen Wang
28 papers receiving 988 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 168
- Oncology 299
- Immunology 241
- Geriatrics and Gerontology 19
- Molecular Biology 378
Countries citing papers authored by Hao‐Chen Wang
This map shows the geographic impact of Hao‐Chen 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 Hao‐Chen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao‐Chen Wang more than expected).
Fields of papers citing papers by Hao‐Chen Wang
This network shows the impact of papers produced by Hao‐Chen 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 Hao‐Chen Wang. The network helps show where Hao‐Chen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao‐Chen 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 164 | |
| 2 | 2019 | 96 | |
| 3 | 2018 | 88 | |
| 4 | 2014 | 88 | |
| 5 | 2017 | 76 | |
| 6 | 2019 | 59 | |
| 7 | 2022 | 55 | |
| 8 | 2018 | 51 | |
| 9 | 2012 | 41 | |
| 10 | 2019 | 41 | |
| 11 | 2017 | 33 | |
| 12 | 2022 | 26 | |
| 13 | 2016 | 24 | |
| 14 | 2008 | 22 | |
| 15 | 2017 | 18 | |
| 16 | 2009 | 17 | |
| 17 | 2011 | 15 | |
| 18 | 2012 | 14 | |
| 19 | 2023 | 14 | |
| 20 | 2020 | 13 |
About Hao‐Chen Wang
Hao‐Chen Wang is a scholar working on Immunology, Epidemiology, Cancer Research, Oncology and Cell Biology, having authored 28 papers that have together received 996 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (6 papers), Immune cells in cancer (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), IL-33, ST2, and ILC Pathways (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Epigenetics and DNA Methylation (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Cancer Research (168 citations), Oncology (299 citations), Immunology (241 citations), Geriatrics and Gerontology (19 citations) and Molecular Biology (378 citations). Hao‐Chen Wang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yan‐Shen Shan, Ying‐Jui Chao, Ya‐Chin Hou, Ya-Chin Hou, Tai‐Jan Chiu, Chih‐Jung Wang, Chengliang Luo, Zufeng Wang, Wu‐Chou Su and Cheng Gao. Their work appears in journals such as Theranostics, Cancers, Clinical Epigenetics, International Journal of Molecular Medicine and Frontiers in Cellular Neuroscience.
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.