Kan Yang

435 citations
34 papers · 327 · h-index 12

Impact in

    • Cholinesterase and Neurodegenerative Diseases
    • Synthesis and biological activity
    • Click Chemistry and Applications
    • Synthesis and Biological Evaluation

Papers in

Kan Yang

31 papers receiving 323 citations

Peers

Kan Yang
Comparison fields: 5 of 70
  • Pharmacology 74
  • Organic Chemistry 115
  • Toxicology 13
  • Process Chemistry and Technology 11
  • Biological Psychiatry 7
Replace Takuya Seko with:
Takuya Seko Japan
Balázs Balogh Hungary
Yanshen Guo China
Sharad Kumar Suthar India
Ravi Naik South Korea
Mukund P. Tantak India
Jianfei Sheng China
Andreas Gollner Austria
Jianmin Fu China
Emiliano Rosatelli Italy
Kan Yang relative to Takuya Seko Japan Takuya Seko's profile →
Citations per field
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Takuya Seko · 1×
Citations per year

Countries citing papers authored by Kan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202037
2 200132
3 202226
4 202024
5 202020
6 202318
7 199016
8 202216
9 201914
10 202414
11 202212
12 202012
13 202210
14 20239
15 20228
16 20197
17 20236
18 20236
19 20226
20 20235

About Kan Yang

Kan Yang is a scholar working on Molecular Biology, Organic Chemistry, Pharmacology, Oncology and Cancer Research, having authored 34 papers that have together received 327 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (7 papers), Synthesis and biological activity (7 papers), Cancer therapeutics and mechanisms (4 papers), Peptidase Inhibition and Analysis (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Cancer, Lipids, and Metabolism (3 papers), Computational Drug Discovery Methods (3 papers) and Calcium signaling and nucleotide metabolism (2 papers). The work is most often cited by research in Pharmacology (74 citations), Organic Chemistry (115 citations), Toxicology (13 citations), Process Chemistry and Technology (11 citations) and Biological Psychiatry (7 citations). Kan Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yali Song, Jinxin Wang, Martin Lipkin, Xiaoqiang Qiao, Zhenming Liu, Fei Cao, Youzhi Wang, Siran Feng, Jiajia Feng and Longfei Li. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, Future Medicinal Chemistry, Bioorganic & Medicinal Chemistry and Medicinal Chemistry 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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