S. Dai

783 citations
18 papers · 643 · h-index 10

Impact in

    • 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 Nutrition and Physiology

Papers in

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

S. Dai

17 papers receiving 619 citations

Peers

S. Dai
Comparison fields: 5 of 78
  • Plant Science 364
  • Animal Science and Zoology 83
  • Inorganic Chemistry 88
  • Molecular Biology 199
  • Nutrition and Dietetics 42
Replace Ushio Matsukura with:
Ushio Matsukura Japan
Josef Berüter Switzerland
Erik Løvaas Norway
Jack P. Goodman United States
Murli Manohar United States
Wenchao Zhao China
Robert W. Rinne United States
K. A. C. James New Zealand
R. V. Harris United Kingdom
Alicia Sánchez‐García Spain
S. Dai relative to Ushio Matsukura Japan Ushio Matsukura's profile →
Citations per field
00.5×4.6×
Ushio Matsukura · 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

18 of 18 papers shown
#Work
1 2009172
2 2008118
3 200983
4 199463
5 202147
6 199645
7 200944
8 198622
9 199011
10 198511
11
The bi-directional regulation of filamin on the ATPase activity of smooth muscle myosin.
20009
12 20056
13 20086
14 20083
15 20231
16 20251
17 19861
18 20080

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.

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