Haiyang Wang
Impact in
- Biological Psychiatry top 5%
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Circular RNAs in diseases 7
- RNA modifications and cancer 6
- RNA Research and Splicing 4
-
- Cancer-related molecular mechanisms research 14
- MicroRNA in disease regulation 11
- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- Nam‐Hyung Kim (10 shared papers)Jeong Su Oh (4 shared papers)Huixia Li (4 shared papers)Yu‐Jin Jo (2 shared papers)Ye Yao (4 shared papers)Genlin Wang (2 shared papers)Yue Zheng (1 shared paper)Jingbo Li (3 shared papers)
- Journals
- Oncotarget (3 papers)The FASEB Journal (2 papers)Microbial Pathogenesis (2 papers)Molecular Psychiatry (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Haiyang Wang
55 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 109
- Biological Psychiatry 65
- Cancer Research 344
- Aging 31
- Geriatrics and Gerontology 43
- Reproductive Medicine 83
Countries citing papers authored by Haiyang Wang
This map shows the geographic impact of Haiyang 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 Haiyang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiyang Wang more than expected).
Fields of papers citing papers by Haiyang Wang
This network shows the impact of papers produced by Haiyang 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 Haiyang Wang. The network helps show where Haiyang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Haiyang 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 77 | |
| 2 | 2020 | 75 | |
| 3 | 2017 | 71 | |
| 4 | 2019 | 66 | |
| 5 | 2020 | 58 | |
| 6 | 2013 | 54 | |
| 7 | 2019 | 51 | |
| 8 | 2012 | 43 | |
| 9 | 2023 | 42 | |
| 10 | 2020 | 31 | |
| 11 | 2017 | 31 | |
| 12 | 2015 | 30 | |
| 13 | 2018 | 28 | |
| 14 | 2024 | 28 | |
| 15 | 2019 | 27 | |
| 16 | 2016 | 25 | |
| 17 | 2017 | 25 | |
| 18 | 2019 | 24 | |
| 19 | 2019 | 24 | |
| 20 | 2016 | 23 |
About Haiyang Wang
Haiyang Wang is a scholar working on Molecular Biology, Cancer Research, Public Health, Environmental and Occupational Health, Cell Biology and Pulmonary and Respiratory Medicine, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (16 papers), Cancer-related molecular mechanisms research (14 papers), MicroRNA in disease regulation (11 papers), Microtubule and mitosis dynamics (8 papers), Circular RNAs in diseases (7 papers), RNA modifications and cancer (6 papers), RNA Research and Splicing (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Biological Psychiatry (65 citations), Cancer Research (344 citations), Aging (31 citations), Geriatrics and Gerontology (43 citations) and Reproductive Medicine (83 citations). Haiyang Wang has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Nam‐Hyung Kim, Jeong Su Oh, Huixia Li, Yu‐Jin Jo, Ye Yao, Genlin Wang, Yue Zheng, Jingbo Li, In‐Won Lee and Junli Zhuang. Their work appears in journals such as Oncotarget, The FASEB Journal, Microbial Pathogenesis, Molecular Psychiatry and PLoS ONE.
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.