Haiyun Wang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
- Developmental Neuroscience top 10%
Papers in
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- RNA modifications and cancer 11
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- Cancer, Hypoxia, and Metabolism 14
- Cancer-related molecular mechanisms research 11
- MicroRNA in disease regulation 9
- Cancer Genomics and Diagnostics 8
- Co-authors
- Jian‐Yong Shao (21 shared papers)Sha Fu (10 shared papers)Guolin Wang (3 shared papers)Qiong Shao (9 shared papers)Ying Wang (2 shared papers)Yonghao Yu (1 shared paper)Li‐Xu Yan (3 shared papers)Yi‐Xin Zeng (7 shared papers)
- Journals
- Optics Express (4 papers)PLoS ONE (4 papers)Photodiagnosis and Photodynamic Therapy (3 papers)Oncotarget (3 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Haiyun Wang
122 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 137
- Cancer Research 529
- Developmental Neuroscience 54
- Oncology 353
- Nephrology 82
- Molecular Biology 746
Countries citing papers authored by Haiyun Wang
This map shows the geographic impact of Haiyun 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 Haiyun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiyun Wang more than expected).
Fields of papers citing papers by Haiyun Wang
This network shows the impact of papers produced by Haiyun 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 Haiyun Wang. The network helps show where Haiyun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Haiyun 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 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 88 | |
| 2 | 2011 | 83 | |
| 3 | 2014 | 66 | |
| 4 | 2016 | 55 | |
| 5 | 2014 | 54 | |
| 6 | 2009 | 51 | |
| 7 | 2014 | 47 | |
| 8 | 2019 | 44 | |
| 9 | 2012 | 43 | |
| 10 | 2017 | 42 | |
| 11 | 2021 | 41 | |
| 12 | 2023 | 35 | |
| 13 | 2021 | 32 | |
| 14 | 2017 | 30 | |
| 15 | 2018 | 29 | |
| 16 | 2022 | 28 | |
| 17 | 2014 | 28 | |
| 18 | 2009 | 27 | |
| 19 | 2014 | 27 | |
| 20 | 2016 | 24 |
About Haiyun Wang
Haiyun Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Neurology, having authored 135 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (14 papers), Neuroblastoma Research and Treatments (14 papers), RNA modifications and cancer (11 papers), Cancer-related molecular mechanisms research (11 papers), Lung Cancer Research Studies (9 papers), MicroRNA in disease regulation (9 papers), Dialysis and Renal Disease Management (8 papers) and Cancer Genomics and Diagnostics (8 papers). The work is most often cited by research in Cancer Research (529 citations), Developmental Neuroscience (54 citations), Oncology (353 citations), Nephrology (82 citations) and Molecular Biology (746 citations). Haiyun Wang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Jian‐Yong Shao, Sha Fu, Guolin Wang, Qiong Shao, Ying Wang, Yonghao Yu, Li‐Xu Yan, Yi‐Xin Zeng, Yang Yang Li and Weimin Ye. Their work appears in journals such as Optics Express, PLoS ONE, Photodiagnosis and Photodynamic Therapy, Oncotarget and Frontiers in Immunology.
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.