Kun Yao

445 citations
20 papers · 361 indexed · h-index 10
  • Toxicology top 10%
    • Bioactive Compounds and Antitumor Agents 2
    • Cancer, Hypoxia, and Metabolism 2
    • MicroRNA in disease regulation 2
    • Cell death mechanisms and regulation 3
    • Synthesis and bioactivity of alkaloids 2
    • Hedgehog Signaling Pathway Studies 2
    • Epigenetics and DNA Methylation 2
    • Glioma Diagnosis and Treatment 2

Kun Yao

20 papers receiving 356 citations

Peers

Kun Yao
Comparison fields: 5 of 68
  • Toxicology 23
  • Cancer Research 91
  • Biochemistry 30
  • Molecular Biology 242
  • Genetics 25
Replace Hanumantha Rao Madala with:
Hanumantha Rao Madala United States
Yuxin Zhuang China
Laura Caboni Ireland
Changshan Yang China
Kathrin Böpple Germany
Hao‐Yi Li Taiwan
Markus Kleih Germany
Tiantao Gao China
Rut Porta Spain
Fang-Yu Lee Taiwan
Kun Yao relative to Hanumantha Rao Madala United States Hanumantha Rao Madala's profile →
Citations per field
00.5×1.6×
Hanumantha Rao Madala · 1×
Citations per year

Countries citing papers authored by Kun Yao

Since Specialization
Citations

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

Fields of papers citing papers by Kun Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20251
3 20251
4 202334
5 20237
6 20237
7 20184
8 201734
9 201748
10 201723
11 201659
12 20169
13 201515
14 20153
15 20147
16 20134
17 201145
18
[The study of FTY720 on inducing apoptosis and autophagy in multiple myeloma cell line U266].
20116
19 201039
20 200213

About Kun Yao

Kun Yao is a scholar working on Toxicology, Cancer Research and Pathology and Forensic Medicine, having authored 20 papers that have together received 361 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (3 papers), Bioactive Compounds and Antitumor Agents (2 papers), Synthesis and bioactivity of alkaloids (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Glioma Diagnosis and Treatment (2 papers), Epigenetics and DNA Methylation (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Toxicology (23 citations), Cancer Research (91 citations) and Biochemistry (30 citations). Kun Yao has collaborated with scholars based in China and United States. Frequent co-authors include Huihan Wang, Zhuogang Liu, Ming Zhao, Shiqi Peng, Xiaoyi Zhang, Yuji Wang, Meiqing Zheng, Yingchun Li, Ying Sun and Qinghua Cui. Their work appears in journals such as Chemical Engineering Journal, World Journal of Gastroenterology and European Journal of Medicinal Chemistry.

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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