Huating Wang
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 1%
- Muscle Physiology and Disorders
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- Pluripotent Stem Cells Research
Papers in
-
- Muscle Physiology and Disorders 45
- Genomics and Chromatin Dynamics 14
- Epigenetics and DNA Methylation 8
- Pluripotent Stem Cells Research 6
- Genomics and Phylogenetic Studies 6
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- Cancer-related molecular mechanisms research 15
- MicroRNA in disease regulation 6
- Co-authors
- Hao Sun (62 shared papers)Denis C. Guttridge D (9 shared papers)Kun Sun (23 shared papers)Yu Fen Zhao (22 shared papers)Xiaona Chen (21 shared papers)Liang Zhou (15 shared papers)Leina Lu (14 shared papers)Peiyong Jiang (8 shared papers)
- Journals
- Nature Communications (12 papers)Nucleic Acids Research (8 papers)PLoS ONE (6 papers)Journal of Virology (5 papers)Cell Research (4 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Huating Wang
132 papers receiving 6.9k citations
Peers
Comparison fields: 5 of 120
- Cancer Research 1.7k
- Molecular Biology 4k
- Aging 46
- Virology 114
- Immunology 289
Countries citing papers authored by Huating Wang
This map shows the geographic impact of Huating 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 Huating Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huating Wang more than expected).
Fields of papers citing papers by Huating Wang
This network shows the impact of papers produced by Huating 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 Huating Wang. The network helps show where Huating Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Huating 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 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 536 | |
| 2 | 2016 | 354 | |
| 3 | 2007 | 326 | |
| 4 | 2005 | 258 | |
| 5 | 2007 | 233 | |
| 6 | 2015 | 225 | |
| 7 | 2012 | 194 | |
| 8 | 2008 | 191 | |
| 9 | 2018 | 173 | |
| 10 | 2015 | 163 | |
| 11 | 2014 | 156 | |
| 12 | 2015 | 151 | |
| 13 | 2013 | 144 | |
| 14 | 2015 | 136 | |
| 15 | 2013 | 134 | |
| 16 | 2012 | 129 | |
| 17 | 2012 | 112 | |
| 18 | 2002 | 110 | |
| 19 | 2010 | 110 | |
| 20 | 2014 | 109 |
About Huating Wang
Huating Wang is a scholar working on Molecular Biology, Cancer Research, Immunology, Aging and Pulmonary and Respiratory Medicine, having authored 138 papers that have together received 7k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (45 papers), Cancer-related molecular mechanisms research (15 papers), Genomics and Chromatin Dynamics (14 papers), Epigenetics and DNA Methylation (8 papers), Pluripotent Stem Cells Research (6 papers), Genomics and Phylogenetic Studies (6 papers), MicroRNA in disease regulation (6 papers) and T-cell and Retrovirus Studies (5 papers). The work is most often cited by research in Cancer Research (1.7k citations), Molecular Biology (4k citations), Aging (46 citations), Virology (114 citations) and Immunology (289 citations). Huating Wang has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Hao Sun, Denis C. Guttridge D, Kun Sun, Yu Fen Zhao, Xiaona Chen, Liang Zhou, Leina Lu, Peiyong Jiang, Louis M. Mansky and Swarnali Acharyya. Their work appears in journals such as Nature Communications, Nucleic Acids Research, PLoS ONE, Journal of Virology and Cell Research.
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.