De‐Zai Dai

104 papers receiving 1.4k citations

Peers

De‐Zai Dai
Comparison fields: 5 of 84
  • Cardiology and Cardiovascular Medicine 368
  • Pharmacology 110
  • Physiology 256
  • Reproductive Medicine 82
  • Endocrinology, Diabetes and Metabolism 156
Replace Yin Dai with:
Yin Dai China
Mengen Zhai China
Jizhou Xiang China
Ling-Bo Qian China
Weixia Sun China
Anees Ahmad Banday United States
Xiao Miao China
Wenliang Zha China
Rehab Ahmed Rifaai Egypt
Ashraf Taye Egypt
De‐Zai Dai relative to Yin Dai China Yin Dai's profile →
Citations per field
00.5×1.5×1.9×
Yin Dai · 1×
Citations per year

Countries citing papers authored by De‐Zai Dai

Since Specialization
Citations

This map shows the geographic impact of De‐Zai 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 De‐Zai Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites De‐Zai Dai more than expected).

Fields of papers citing papers by De‐Zai Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by De‐Zai 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 De‐Zai Dai. The network helps show where De‐Zai Dai may publish in the future.

Co-authors

The 25 scholars most cited alongside De‐Zai 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 De‐Zai Dai Line = papers co-authored together De‐Zai Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200849
2 201149
3 200741
4 200839
5 201138
6 201237
7 200637
8 201237
9 200636
10
Puerarin blocks Na+ current in rat ventricular myocytes.
200335
11 200531
12 200831
13 200531
14 201029
15 201129
16 200826
17 201025
18 201324
19 199623
20
Downregulation of Kv4.2 and Kv4.3 channel gene expression in right ventricular hypertrophy induced by monocrotaline in rat.
200422

About De‐Zai Dai

De‐Zai Dai is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Pharmacology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 105 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (31 papers), Ion channel regulation and function (22 papers), Nitric Oxide and Endothelin Effects (22 papers), Cardiovascular Function and Risk Factors (7 papers), Pulmonary Hypertension Research and Treatments (6 papers), Berberine and alkaloids research (5 papers), Pharmacological Effects of Natural Compounds (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (368 citations), Pharmacology (110 citations), Physiology (256 citations), Reproductive Medicine (82 citations) and Endocrinology, Diabetes and Metabolism (156 citations). De‐Zai Dai has collaborated with scholars based in China, Yemen and United States. Frequent co-authors include Yin Dai, Feng Yu, Xiaoyun Tang, Bing Cui, Xiaodong Cong, Tiantai Zhang, Min-You Qi, Tao Na, Can Zhang and Huijing Xia. Their work appears in journals such as Journal of Pharmacy and Pharmacology, Acta Pharmacologica Sinica, Clinical and Experimental Pharmacology and Physiology, European Journal of Pharmacology and Journal of Cardiovascular 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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