S. Dai
Impact in
- Plant Science top 5%
- Plant Stress Responses and Tolerance
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Plant responses to water stress
- Plant-Microbe Interactions and Immunity
- Animal Science and Zoology top 5%
- Animal Nutrition and Physiology
Papers in
-
- Plant Micronutrient Interactions and Effects 2
- Plant Stress Responses and Tolerance 2
- Wheat and Barley Genetics and Pathology 2
- Co-authors
- Ruijia Wang (2 shared papers)Shaoliang Chen (2 shared papers)John H. McNeill (1 shared paper)K.H. Thompson (1 shared paper)Guangming Jin (1 shared paper)Jian Sun (1 shared paper)Yu Xu (1 shared paper)Zhonghua Zhang (1 shared paper)
In The Last Decade
S. Dai
17 papers receiving 619 citations
Peers
Comparison fields: 5 of 78
- Plant Science 364
- Animal Science and Zoology 83
- Inorganic Chemistry 88
- Molecular Biology 199
- Nutrition and Dietetics 42
Countries citing papers authored by S. Dai
This map shows the geographic impact of S. Dai'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 S. Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Dai more than expected).
Fields of papers citing papers by S. Dai
This network shows the impact of papers produced by S. Dai. 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 S. Dai. The network helps show where S. Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 172 | |
| 2 | 2008 | 118 | |
| 3 | 2009 | 83 | |
| 4 | 1994 | 63 | |
| 5 | 2021 | 47 | |
| 6 | 1996 | 45 | |
| 7 | 2009 | 44 | |
| 8 | 1986 | 22 | |
| 9 | 1990 | 11 | |
| 10 | 1985 | 11 | |
| 11 | The bi-directional regulation of filamin on the ATPase activity of smooth muscle myosin. | 2000 | 9 |
| 12 | 2005 | 6 | |
| 13 | 2008 | 6 | |
| 14 | 2008 | 3 | |
| 15 | 2023 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 1986 | 1 | |
| 18 | 2008 | 0 |
About S. Dai
S. Dai is a scholar working on Molecular Biology, Plant Science, Cardiology and Cardiovascular Medicine, Pharmacology and Endocrine and Autonomic Systems, having authored 18 papers that have together received 643 indexed citations. Recurring topics across this work include Plant Micronutrient Interactions and Effects (2 papers), Plant Stress Responses and Tolerance (2 papers), Heart Rate Variability and Autonomic Control (2 papers), Wheat and Barley Genetics and Pathology (2 papers), Vanadium and Halogenation Chemistry (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Neuroscience of respiration and sleep (2 papers) and Veterinary Pharmacology and Anesthesia (1 paper). The work is most often cited by research in Plant Science (364 citations), Animal Science and Zoology (83 citations), Inorganic Chemistry (88 citations), Molecular Biology (199 citations) and Nutrition and Dietetics (42 citations). S. Dai has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Ruijia Wang, Shaoliang Chen, John H. McNeill, K.H. Thompson, Guangming Jin, Jian Sun, Yu Xu, Zhonghua Zhang, Zhilin Hu and Xiqun Zheng. Their work appears in journals such as Inflammation Research, Tree Physiology, British Poultry Science, Journal of Sports Science and Medicine and Physiological 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.