S. Dai

860 citations
24 papers · 705 · h-index 12

Impact in

    • Plant Stress Responses and Tolerance
    • Plant Molecular Biology Research
    • Plant nutrient uptake and metabolism
    • Plant responses to water stress
    • Animal Nutrition and Physiology

Papers in

    • Wheat and Barley Genetics and Pathology 2
    • Plant Stress Responses and Tolerance 2
    • Plant Micronutrient Interactions and Effects 2

S. Dai

23 papers receiving 679 citations

Peers

S. Dai
Comparison fields: 5 of 86
  • Plant Science 362
  • Animal Science and Zoology 83
  • Inorganic Chemistry 86
  • Molecular Biology 245
  • Nutrition and Dietetics 43
Replace Tetsuo Nakano with:
Tetsuo Nakano Japan
Ana Marı́a Evangelista de Duffard Argentina
Josef Berüter Switzerland
Wei Ma China
Wenchao Zhao China
Osamu Hayashi Japan
Xichun Zhang China
K. A. C. James New Zealand
Glenn C. Bewley United States
Misako Kawai Japan
S. Dai relative to Tetsuo Nakano Japan Tetsuo Nakano's profile →
Citations per field
00.5×7.2×
Tetsuo Nakano · 1×
Citations per year

Countries citing papers authored by S. Dai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with S. Dai Line = papers co-authored together S. Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009171
2 2008117
3 200983
4 199462
5 199645
6 200944
7 202144
8 200839
9 198621
10 200413
11 199011
12 198511
13
The bi-directional regulation of filamin on the ATPase activity of smooth muscle myosin.
20009
14 19857
15 20056
16 20086
17 20056
18 20083
19 20222
20 20052

About S. Dai

S. Dai is a scholar working on Molecular Biology, Plant Science, Cardiology and Cardiovascular Medicine, Clinical Biochemistry and Genetics, having authored 24 papers that have together received 705 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (4 papers), Wheat and Barley Genetics and Pathology (2 papers), Vanadium and Halogenation Chemistry (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Plant Stress Responses and Tolerance (2 papers), Heart Rate Variability and Autonomic Control (2 papers), Plant Micronutrient Interactions and Effects (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Plant Science (362 citations), Animal Science and Zoology (83 citations), Inorganic Chemistry (86 citations), Molecular Biology (245 citations) and Nutrition and Dietetics (43 citations). S. Dai has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Ruijia Wang, Shaoliang Chen, K.H. Thompson, John H. McNeill, Guangming Jin, Xiaoyang Zhou, Xiqun Zheng, Zhilin Hu, Toru Nishikawa and Xin Shen. Their work appears in journals such as Inflammation Research, Journal of Neurochemistry, Journal of Neural Transmission, Tree Physiology and Pharmacology.

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.

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