Suya Wang
Impact in
- Biotechnology top 10%
- Enzyme Production and Characterization
-
- Cancer-related molecular mechanisms research
Papers in
-
- Mitochondrial Function and Pathology 4
- Congenital heart defects research 3
- ATP Synthase and ATPases Research 3
-
- Bone Tissue Engineering Materials 3
- Biofuel production and bioconversion 3
- Co-authors
- Alexander R. Moise (6 shared papers)William T. Pu (8 shared papers)Xueya Zhou (1 shared paper)Tingting Li (1 shared paper)Rimao Wu (1 shared paper)Dahai Zhu (1 shared paper)Yong Zhang (1 shared paper)Liangwei Liu (6 shared papers)
- Journals
- Process Biochemistry (4 papers)International Journal of Food Science & Technology (2 papers)Journal of Biological Chemistry (2 papers)Human Molecular Genetics (1 paper)Clinical Breast Cancer (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Suya Wang
53 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 129
- Biotechnology 88
- Cancer Research 145
- Molecular Biology 622
- Cardiology and Cardiovascular Medicine 199
- Transplantation 23
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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 139 | |
| 2 | 2012 | 127 | |
| 3 | 2016 | 96 | |
| 4 | 2016 | 92 | |
| 5 | 2019 | 88 | |
| 6 | 2014 | 87 | |
| 7 | 2020 | 82 | |
| 8 | 2011 | 58 | |
| 9 | 2011 | 49 | |
| 10 | 2021 | 47 | |
| 11 | 2017 | 39 | |
| 12 | 2018 | 34 | |
| 13 | 2007 | 33 | |
| 14 | 2018 | 33 | |
| 15 | 2019 | 31 | |
| 16 | 2021 | 24 | |
| 17 | 2010 | 23 | |
| 18 | 2015 | 21 | |
| 19 | 2014 | 20 | |
| 20 | 2018 | 18 |
About Suya Wang
Suya Wang is a scholar working on Molecular Biology, Biomedical Engineering, Biomaterials, Genetics and Biotechnology, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (5 papers), Mitochondrial Function and Pathology (4 papers), Advanced Cellulose Research Studies (4 papers), Bone Tissue Engineering Materials (3 papers), Congenital heart defects research (3 papers), Biofuel production and bioconversion (3 papers), Bamboo properties and applications (3 papers) and ATP Synthase and ATPases Research (3 papers). The work is most often cited by research in Biotechnology (88 citations), Cancer Research (145 citations), Molecular Biology (622 citations), Cardiology and Cardiovascular Medicine (199 citations) and Transplantation (23 citations). Suya Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Alexander R. Moise, William T. Pu, Xueya Zhou, Tingting Li, Rimao Wu, Dahai Zhu, Yong Zhang, Liangwei Liu, Hongge Chen and Wo Wang. Their work appears in journals such as Process Biochemistry, International Journal of Food Science & Technology, Journal of Biological Chemistry, Human Molecular Genetics and Clinical Breast Cancer.
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.