Tai Wang
Impact in
- Biochemistry top 1%
- Lipid metabolism and biosynthesis
- Plant Science top 1%
- Plant Stress Responses and Tolerance
- Plant Molecular Biology Research
- Seed Germination and Physiology
Papers in
-
- Plant Reproductive Biology 22
- Plant Gene Expression Analysis 4
- Genomics and Phylogenetic Studies 3
-
- Plant Stress Responses and Tolerance 8
- Plant Molecular Biology Research 6
- Seed Germination and Physiology 2
- Co-authors
- Kang Chong (10 shared papers)Yongbiao Xue (5 shared papers)Shaojun Dai (10 shared papers)Yunyuan Xu (3 shared papers)Wenying Xu (2 shared papers)Sixue Chen (7 shared papers)Xiaoyan Dai (1 shared paper)Qibin Ma (1 shared paper)
- Journals
- Journal of Proteome Research (10 papers)The Plant Journal (5 papers)PROTEOMICS (4 papers)Journal of Plant Physiology (4 papers)Frontiers in Plant Science (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Tai Wang
81 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 67
- Biochemistry 183
- Plant Science 1.5k
- Molecular Biology 807
- Spectroscopy 106
- Immunology and Allergy 19
Countries citing papers authored by Tai Wang
This map shows the geographic impact of Tai 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 Tai Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai Wang more than expected).
Fields of papers citing papers by Tai Wang
This network shows the impact of papers produced by Tai 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 Tai Wang. The network helps show where Tai Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Tai 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 505 | |
| 2 | 2008 | 359 | |
| 3 | 2011 | 187 | |
| 4 | 2006 | 162 | |
| 5 | 2011 | 144 | |
| 6 | 2010 | 140 | |
| 7 | 2006 | 134 | |
| 8 | 2008 | 131 | |
| 9 | 2016 | 115 | |
| 10 | 2010 | 91 | |
| 11 | 2006 | 83 | |
| 12 | 2013 | 77 | |
| 13 | 2013 | 72 | |
| 14 | 2008 | 66 | |
| 15 | 2012 | 65 | |
| 16 | 2013 | 60 | |
| 17 | 2007 | 59 | |
| 18 | 2012 | 59 | |
| 19 | 2020 | 51 | |
| 20 | 2013 | 45 |
About Tai Wang
Tai Wang is a scholar working on Molecular Biology, Plant Science, Genetics, Biochemistry and Biotechnology, having authored 84 papers that have together received 3.6k indexed citations. Recurring topics across this work include Plant Reproductive Biology (22 papers), Plant Stress Responses and Tolerance (8 papers), Plant Molecular Biology Research (6 papers), Plant Gene Expression Analysis (4 papers), Genomics and Phylogenetic Studies (3 papers), Seed Germination and Physiology (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Biochemistry (183 citations), Plant Science (1.5k citations), Molecular Biology (807 citations), Spectroscopy (106 citations) and Immunology and Allergy (19 citations). Tai Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Kang Chong, Yongbiao Xue, Shaojun Dai, Yunyuan Xu, Wenying Xu, Sixue Chen, Xiaoyan Dai, Qibin Ma, Lingtong Liu and Long Feng Yan. Their work appears in journals such as Journal of Proteome Research, The Plant Journal, PROTEOMICS, Journal of Plant Physiology and Frontiers in Plant Science.
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.