Zhong Dai

739 total citations
52 papers, 568 citations indexed

About

Zhong Dai is a scholar working on Molecular Biology, Complementary and alternative medicine and Plant Science. According to data from OpenAlex, Zhong Dai has authored 52 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 18 papers in Complementary and alternative medicine and 12 papers in Plant Science. Recurrent topics in Zhong Dai's work include Traditional Chinese Medicine Analysis (11 papers), Natural product bioactivities and synthesis (8 papers) and Plant-based Medicinal Research (6 papers). Zhong Dai is often cited by papers focused on Traditional Chinese Medicine Analysis (11 papers), Natural product bioactivities and synthesis (8 papers) and Plant-based Medicinal Research (6 papers). Zhong Dai collaborates with scholars based in China, Australia and Belgium. Zhong Dai's co-authors include De‐Jian Jiang, Shuang‐Cheng Ma, Yuan‐Jian Li, Lixing Nie, Zhihao Zhang, Guiqiang Li, Xian‐Long Cheng, Ying‐Yong Zhao, Chao Zhou and Jing Liu and has published in prestigious journals such as Energy Conversion and Management, Energy and Molecules.

In The Last Decade

Zhong Dai

49 papers receiving 547 citations

Peers

Zhong Dai
Comparison fields: 5 of 101
  • Molecular Biology 180
  • Plant Science 168
  • Complementary and alternative medicine 118
  • Pharmacology 98
  • Pharmacology 61
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Anindita Behera India
Zhongxing Song China
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Yunli Zhao China View profile →
Citations per field, relative to Zhong Dai
Zhong Dai · 1×
Citations per year, relative to Zhong Dai
Zhong Dai · 1×

Countries citing papers authored by Zhong Dai

Since Specialization
Citations

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

Fields of papers citing papers by Zhong Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhong Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Zhong Dai. A scholar is included among the top collaborators of Zhong Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhong Dai. Zhong Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2 1
3 0
4 0
5 17
6 5
7 1
8 8
9 23
10 5
11 10
12
[Comparison study of determination methods of free amino acid in Shuxuetong injection by HPTLC, pre-column derivation-UPLC, and ion chromatography].
1
13 1
14 3
15 29
16 48
17 13
18
Mapping QTLs for Total Leaf Number of the Main Stem and Its Related Traits in Rice
1
19 28
20
Seasonal occurrence of Coelophora saucia (Col.: Coccinellidae) and its predation rate on aphids.
2

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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