Sha Tang
Impact in
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders
- Genetics top 2%
- Genomics and Rare Diseases
- Genetics and Neurodevelopmental Disorders
Papers in
-
- Mitochondrial Function and Pathology 18
- Photosynthetic Processes and Mechanisms 18
-
- Plant Molecular Biology Research 27
- Plant Stress Responses and Tolerance 17
- Plant nutrient uptake and metabolism 9
- Co-authors
- Weilun Yin (12 shared papers)Xinli Xia (12 shared papers)Taosheng Huang (4 shared papers)Zöe Powis (18 shared papers)Xianmin Diao (42 shared papers)Guanqing Jia (36 shared papers)Hui Zhi (33 shared papers)Xiao Han (6 shared papers)
- Journals
- Genetics in Medicine (7 papers)Frontiers in Plant Science (6 papers)Journal of Experimental Botany (6 papers)The Crop Journal (5 papers)Journal of Integrative Agriculture (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Sha Tang
122 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 130
- Clinical Biochemistry 351
- Genetics 1.1k
- Plant Science 1.5k
- Molecular Biology 2.1k
- Endocrinology 130
Countries citing papers authored by Sha Tang
This map shows the geographic impact of Sha Tang'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 Sha Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Tang more than expected).
Fields of papers citing papers by Sha Tang
This network shows the impact of papers produced by Sha Tang. 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 Sha Tang. The network helps show where Sha Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sha Tang, 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 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 224 | |
| 2 | 2016 | 217 | |
| 3 | 2014 | 137 | |
| 4 | 2011 | 125 | |
| 5 | 2014 | 123 | |
| 6 | 2008 | 115 | |
| 7 | 2013 | 109 | |
| 8 | 2021 | 103 | |
| 9 | 2015 | 93 | |
| 10 | 2010 | 92 | |
| 11 | 2017 | 91 | |
| 12 | 2013 | 89 | |
| 13 | 2009 | 86 | |
| 14 | 2017 | 79 | |
| 15 | 2013 | 78 | |
| 16 | 2017 | 71 | |
| 17 | 2013 | 70 | |
| 18 | 2015 | 68 | |
| 19 | 2017 | 68 | |
| 20 | 2017 | 67 |
About Sha Tang
Sha Tang is a scholar working on Molecular Biology, Plant Science, Genetics, Pathology and Forensic Medicine and Clinical Biochemistry, having authored 126 papers that have together received 4.0k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (27 papers), Genomics and Rare Diseases (24 papers), Mitochondrial Function and Pathology (18 papers), Photosynthetic Processes and Mechanisms (18 papers), Plant Stress Responses and Tolerance (17 papers), Genomic variations and chromosomal abnormalities (12 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Plant nutrient uptake and metabolism (9 papers). The work is most often cited by research in Clinical Biochemistry (351 citations), Genetics (1.1k citations), Plant Science (1.5k citations), Molecular Biology (2.1k citations) and Endocrinology (130 citations). Sha Tang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Weilun Yin, Xinli Xia, Taosheng Huang, Zöe Powis, Xianmin Diao, Guanqing Jia, Hui Zhi, Xiao Han, Kelly D. Farwell Hagman and Deepali N. Shinde. Their work appears in journals such as Genetics in Medicine, Frontiers in Plant Science, Journal of Experimental Botany, The Crop Journal and Journal of Integrative Agriculture.
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.