Jiangkun Dai

1.1k citations
40 papers · 888 indexed · h-index 16

Impact in

  • Toxicology top 5%
    • Bioactive Compounds and Antitumor Agents
    • Synthesis and biological activity
    • Synthesis and Biological Evaluation
    • Catalytic C–H Functionalization Methods
    • Multicomponent Synthesis of Heterocycles

Papers in

Jiangkun Dai

37 papers receiving 877 citations

Peers

Jiangkun Dai
Comparison fields: 5 of 94
  • Toxicology 52
  • Organic Chemistry 400
  • Microbiology 43
  • Pharmacology 114
  • Molecular Biology 452
Replace Wenjia Dan with:
Wenjia Dan China
Ruige Yang China
Saulo Fernandes de Andrade Brazil
Euzébio Guimarães Barbosa Brazil
Fabrice Pagniez France
Chantal Finance France
Anna Biernasiuk Poland
Jae Gyu Park South Korea
Laura Svetaz Argentina
Zi‐Ning Cui China
Jiangkun Dai relative to Wenjia Dan China Wenjia Dan's profile →
Citations per field
00.5×1.5×
Wenjia Dan · 1×
Citations per year

Countries citing papers authored by Jiangkun Dai

Since Specialization
Citations

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

Fields of papers citing papers by Jiangkun Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20253
4 20247
5 20245
6 20245
7 202318
8 20238
9 202312
10 20233
11 20227
12 202122
13 202065
14 202012
15 2019154
16 201833
17 201819
18 201845
19 201822
20 20149

About Jiangkun Dai

Jiangkun Dai is a scholar working on Toxicology, Microbiology, Molecular Biology, Complementary and alternative medicine and Immunology, having authored 40 papers that have together received 888 indexed citations. Recurring topics across this work include Synthesis and bioactivity of alkaloids (17 papers), Phytochemical compounds biological activities (10 papers), Cancer therapeutics and mechanisms (8 papers), Toxin Mechanisms and Immunotoxins (6 papers), Essential Oils and Antimicrobial Activity (4 papers), Natural product bioactivities and synthesis (3 papers), Biochemical and Structural Characterization (3 papers) and Antimicrobial Peptides and Activities (3 papers). The work is most often cited by research in Toxicology (52 citations), Organic Chemistry (400 citations), Microbiology (43 citations), Pharmacology (114 citations) and Molecular Biology (452 citations). Jiangkun Dai has collaborated with scholars based in China, Macao and United Kingdom. Frequent co-authors include Wenjia Dan, Junru Wang, Uwe Schneider, Na Li, Jian‐Bo Wan, Xiaohui Qi, Yu-Jie Xu, Rui Han, Yunyun Zhang and Shijun Wang. Their work appears in journals such as European Journal of Medicinal Chemistry, Molecules, Bioorganic & Medicinal Chemistry Letters, Bioorganic Chemistry and Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy.

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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