Haihe Wang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Protein Tyrosine Phosphatases
- RNA modifications and cancer
- RNA Research and Splicing
- vaccines and immunoinformatics approaches
Papers in
- Epidemiology 13
- Autophagy in Disease and Therapy 7
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- Protein Tyrosine Phosphatases 8
- RNA Research and Splicing 4
- Ubiquitin and proteasome pathways 3
- Co-authors
- Qi Zeng (4 shared papers)Samantha Yiling Quah (2 shared papers)Edward J. Manser (1 shared paper)Jing Ping Tang (1 shared paper)Yongqun Oliver He (5 shared papers)Edison Ong (3 shared papers)Shulan Yang (18 shared papers)Ke Xi Guo (3 shared papers)
- Journals
- Cell Reports (3 papers)Cancer Cell International (2 papers)Cancer Research (2 papers)Journal of Experimental & Clinical Cancer Research (2 papers)Journal of Cellular and Molecular Medicine (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Haihe Wang
54 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Cancer Research 197
- Molecular Biology 814
- Reproductive Medicine 84
- Immunology 154
- Health Informatics 10
Countries citing papers authored by Haihe Wang
This map shows the geographic impact of Haihe 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 Haihe Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haihe Wang more than expected).
Fields of papers citing papers by Haihe Wang
This network shows the impact of papers produced by Haihe 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 Haihe Wang. The network helps show where Haihe Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Haihe 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 220 | |
| 2 | 2010 | 138 | |
| 3 | 2020 | 116 | |
| 4 | 2014 | 88 | |
| 5 | 2021 | 88 | |
| 6 | 2006 | 77 | |
| 7 | 2018 | 50 | |
| 8 | 2018 | 48 | |
| 9 | 2013 | 37 | |
| 10 | 2014 | 33 | |
| 11 | 2015 | 29 | |
| 12 | 2020 | 28 | |
| 13 | 2021 | 26 | |
| 14 | 2016 | 23 | |
| 15 | 2020 | 20 | |
| 16 | 2020 | 17 | |
| 17 | 2016 | 17 | |
| 18 | 2023 | 16 | |
| 19 | 2020 | 16 | |
| 20 | 2013 | 16 |
About Haihe Wang
Haihe Wang is a scholar working on Epidemiology, Molecular Biology, Cancer Research, Oncology and Cell Biology, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (8 papers), Autophagy in Disease and Therapy (7 papers), Cancer-related Molecular Pathways (6 papers), RNA Research and Splicing (4 papers), Tuberculosis Research and Epidemiology (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Ubiquitin and proteasome pathways (3 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Cancer Research (197 citations), Molecular Biology (814 citations), Reproductive Medicine (84 citations), Immunology (154 citations) and Health Informatics (10 citations). Haihe Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Qi Zeng, Samantha Yiling Quah, Edward J. Manser, Jing Ping Tang, Yongqun Oliver He, Edison Ong, Shulan Yang, Ke Xi Guo, Jie Li and Yajie Chang. Their work appears in journals such as Cell Reports, Cancer Cell International, Cancer Research, Journal of Experimental & Clinical Cancer Research and Journal of Cellular and Molecular Medicine.
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.