Yan Dai

1.5k citations
20 papers · 1.3k · 1 hit paper · h-index 15

Impact in

Papers in

    • Meat and Animal Product Quality 8
    • Animal Nutrition and Physiology 4
    • Pharmacogenetics and Drug Metabolism 3
    • Pharmacological Effects of Natural Compounds 2

Yan Dai

19 papers receiving 1.2k citations

Yan Dai's Hit Papers

Natural products for the treatment of type 2 diabetes mellitus: Pharmacology and mechanisms 2018 · 368 citations
3680+2+5Years since publication100200300

Peers

Yan Dai
Comparison fields: 5 of 103
  • Pharmacology 263
  • Animal Science and Zoology 317
  • Biochemistry 99
  • Biochemistry 67
  • Pathology and Forensic Medicine 152
Replace Mei-Lin Xie with:
Mei-Lin Xie China
Weifeng Li China
Hanna Czeczot Poland
Kimikazu Iwami Japan
Erdong Yuan China
Jin Boo Jeong South Korea
Woojin Jun South Korea
Rawiwan Wongpoomchai Thailand
Yafei Liu China
Yan Dai relative to Mei-Lin Xie China Mei-Lin Xie's profile →
Citations per field
00.5×1.5×1.8×
Mei-Lin Xie · 1×
Citations per year

Countries citing papers authored by Yan Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yan Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Natural products for the treatment of type 2 diabetes mellitus: Pharmacology and mechanisms
Hit paper breakdown →
2018368
2 1993214
3 1995151
4 201280
5 201575
6 201462
7 199557
8 201049
9 201343
10 200137
11 201135
12 201323
13 202317
14 201314
15 202314
16 201210
17 19954
18
Body Conformation and Growth Analysis on Sansui Duck
20131
19 20251
20 20230

About Yan Dai

Yan Dai is a scholar working on Animal Science and Zoology, Pharmacology, Molecular Biology, Immunology and Food Science, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (8 papers), Animal Nutrition and Physiology (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Pharmacological Effects of Natural Compounds (2 papers), Sensory Analysis and Statistical Methods (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Advanced Chemical Sensor Technologies (2 papers) and Identification and Quantification in Food (2 papers). The work is most often cited by research in Pharmacology (263 citations), Animal Science and Zoology (317 citations), Biochemistry (99 citations), Biochemistry (67 citations) and Pathology and Forensic Medicine (152 citations). Yan Dai has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Arthur I. Cederbaum, Yue Li, Jinyong Peng, Lina Xu, Julia Rashba-Step, Ruitong Dai, Xingmin Li, Wei Wu, Jing Miao and Xiaoguang Gao. Their work appears in journals such as Meat Science, Journal of Pharmacology and Experimental Therapeutics, Pharmacological Research, Innovative Food Science & Emerging Technologies and Foods.

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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