Hao‐Chen Wang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Immunology top 10%
- Immune cells in cancer
Papers in
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- RNA modifications and cancer 3
- RNA regulation and disease 3
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- Immune cells in cancer 4
- IL-33, ST2, and ILC Pathways 2
- 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)Chih‐Jung Wang (3 shared papers)Chengliang Luo (3 shared papers)Zufeng Wang (3 shared papers)Luyang Tao (2 shared papers)
- Journals
- Cancer Research (2 papers)Theranostics (2 papers)Cancers (2 papers)Nanomedicine Nanotechnology Biology and Medicine (1 paper)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Hao‐Chen Wang
29 papers receiving 966 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 167
- Immunology 239
- Oncology 294
- Geriatrics and Gerontology 18
- Molecular Biology 374
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 164 | |
| 2 | 2019 | 92 | |
| 3 | 2014 | 86 | |
| 4 | 2018 | 83 | |
| 5 | 2017 | 74 | |
| 6 | 2019 | 59 | |
| 7 | 2022 | 53 | |
| 8 | 2018 | 51 | |
| 9 | 2012 | 41 | |
| 10 | 2019 | 40 | |
| 11 | 2017 | 32 | |
| 12 | 2022 | 24 | |
| 13 | 2016 | 22 | |
| 14 | 2008 | 22 | |
| 15 | 2009 | 17 | |
| 16 | 2017 | 17 | |
| 17 | 2012 | 14 | |
| 18 | 2011 | 14 | |
| 19 | 2023 | 13 | |
| 20 | 2020 | 13 |
About Hao‐Chen Wang
Hao‐Chen Wang is a scholar working on Molecular Biology, Immunology, Epidemiology, Oncology and Cell Biology, having authored 30 papers that have together received 971 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), RNA modifications and cancer (3 papers), RNA regulation and disease (3 papers), Nutrition and Health in Aging (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Cancer Research (167 citations), Immunology (239 citations), Oncology (294 citations), Geriatrics and Gerontology (18 citations) and Molecular Biology (374 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, Chih‐Jung Wang, Chengliang Luo, Zufeng Wang, Luyang Tao, Wu‐Chou Su and Cheng Gao. Their work appears in journals such as Cancer Research, Theranostics, Cancers, Nanomedicine Nanotechnology Biology and Medicine and Molecular Cancer Therapeutics.
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.