Suya Wang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Biotechnology top 5%
- Enzyme Production and Characterization
Papers in
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- Enzyme Production and Characterization 4
-
- Mitochondrial Function and Pathology 4
- Congenital heart defects research 4
- Co-authors
- Alexander R. Moise (6 shared papers)William T. Pu (8 shared papers)Hao Zhang (1 shared paper)Dahai Zhu (1 shared paper)Xueya Zhou (1 shared paper)Rimao Wu (1 shared paper)Tingting Li (1 shared paper)Yong Zhang (1 shared paper)
- Journals
- Process Biochemistry (4 papers)International Journal of Food Science & Technology (2 papers)Journal of Biological Chemistry (2 papers)Journal of Hazardous Materials (1 paper)Journal of Cellular and Molecular Medicine (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Suya Wang
56 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 121
- Cancer Research 329
- Biotechnology 87
- Clinical Biochemistry 49
- Molecular Biology 477
- Cognitive Neuroscience 147
Countries citing papers authored by Suya Wang
This map shows the geographic impact of Suya 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 Suya Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suya Wang more than expected).
Fields of papers citing papers by Suya Wang
This network shows the impact of papers produced by Suya 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 Suya Wang. The network helps show where Suya Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Suya 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 358 | |
| 2 | 2018 | 151 | |
| 3 | 2012 | 132 | |
| 4 | 2016 | 111 | |
| 5 | 2016 | 109 | |
| 6 | 2019 | 101 | |
| 7 | 2020 | 101 | |
| 8 | 2014 | 90 | |
| 9 | 2021 | 70 | |
| 10 | 2011 | 62 | |
| 11 | 2011 | 59 | |
| 12 | 2013 | 44 | |
| 13 | 2017 | 44 | |
| 14 | 2018 | 35 | |
| 15 | 2019 | 35 | |
| 16 | 2018 | 34 | |
| 17 | 2021 | 31 | |
| 18 | 2010 | 23 | |
| 19 | 2021 | 23 | |
| 20 | 2014 | 21 |
About Suya Wang
Suya Wang is a scholar working on Biotechnology, Molecular Biology, Nutrition and Dietetics, Genetics and Transplantation, having authored 59 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (4 papers), Congenital heart defects research (4 papers), Food composition and properties (4 papers), Enzyme Production and Characterization (4 papers), Virus-based gene therapy research (3 papers), Suicide and Self-Harm Studies (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Cancer Research (329 citations), Biotechnology (87 citations), Clinical Biochemistry (49 citations), Molecular Biology (477 citations) and Cognitive Neuroscience (147 citations). Suya Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Alexander R. Moise, William T. Pu, Hao Zhang, Dahai Zhu, Xueya Zhou, Rimao Wu, Tingting Li, Yong Zhang, Ming Ai and Wo Wang. Their work appears in journals such as Process Biochemistry, International Journal of Food Science & Technology, Journal of Biological Chemistry, Journal of Hazardous Materials 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.