Hao Wang
Impact in
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- Glycosylation and Glycoproteins Research
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- Oncology top 5%
Papers in ⓘ
-
- Glycosylation and Glycoproteins Research 24
- Epigenetics and DNA Methylation 23
- Metabolomics and Mass Spectrometry Studies 11
- Epidemiology 54
- Co-authors
- Youxin Wang (29 shared papers)Wei Wang (27 shared papers)Manshu Song (26 shared papers)Michael A. Schwarzschild (2 shared papers)Xiang Gao (2 shared papers)Wing Hong Chan (2 shared papers)Siqi Ge (15 shared papers)Alberto Ascherio (1 shared paper)
- Journals
- PLoS ONE (9 papers)OMICS A Journal of Integrative Biology (8 papers)International Journal of Environmental Research and Public Health (5 papers)Frontiers in Immunology (4 papers)Nutrition & Metabolism (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Hao Wang
280 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 178
- Molecular Biology 2.0k
- Oncology 721
- Immunology 547
- Aging 43
- Physiology 633
Countries citing papers authored by Hao Wang
This map shows the geographic impact of Hao 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 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 Wang more than expected).
Fields of papers citing papers by Hao Wang
This network shows the impact of papers produced by Hao 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 Wang. The network helps show where Hao Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao 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 298 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 436 | |
| 2 | 2015 | 300 | |
| 3 | 2005 | 202 | |
| 4 | 2009 | 137 | |
| 5 | 2009 | 109 | |
| 6 | 2016 | 98 | |
| 7 | 2008 | 87 | |
| 8 | 2003 | 86 | |
| 9 | 2016 | 83 | |
| 10 | 2017 | 80 | |
| 11 | 2007 | 74 | |
| 12 | 2016 | 72 | |
| 13 | 2013 | 69 | |
| 14 | 2018 | 69 | |
| 15 | 2012 | 69 | |
| 16 | 2005 | 62 | |
| 17 | 2014 | 60 | |
| 18 | 2018 | 59 | |
| 19 | 2013 | 59 | |
| 20 | 2018 | 50 |
About Hao Wang
Hao Wang is a scholar working on Molecular Biology, Epidemiology, Oncology, Physiology and Immunology, having authored 298 papers that have together received 5.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (24 papers), Epigenetics and DNA Methylation (23 papers), Galectins and Cancer Biology (15 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), Intracranial Aneurysms: Treatment and Complications (14 papers), Nutritional Studies and Diet (12 papers), Metabolomics and Mass Spectrometry Studies (11 papers) and Hepatitis C virus research (11 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Oncology (721 citations), Immunology (547 citations), Aging (43 citations) and Physiology (633 citations). Hao Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Youxin Wang, Wei Wang, Manshu Song, Michael A. Schwarzschild, Xiang Gao, Wing Hong Chan, Siqi Ge, Alberto Ascherio, Robert E. Thurman and Richard Sandstrom. Their work appears in journals such as PLoS ONE, OMICS A Journal of Integrative Biology, International Journal of Environmental Research and Public Health, Frontiers in Immunology and Nutrition & Metabolism.
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.