Kang Yang

3.8k citations
134 papers · 2.9k · h-index 28

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation

Papers in

    • RNA modifications and cancer 13
    • Circular RNAs in diseases 7
    • Cancer-related molecular mechanisms research 14
    • MicroRNA in disease regulation 13

Kang Yang

125 papers receiving 2.8k citations

Peers

Kang Yang
Comparison fields: 5 of 120
  • Cancer Research 1.3k
  • Molecular Biology 1.7k
  • Oncology 350
  • Nephrology 86
  • Pharmacology 100
Replace Zhi Yang with:
Zhi Yang China
Masatoshi Kusuhara Japan
Bahjat Al‐Ani Saudi Arabia
Keishi Miyata Japan
Philipp J. Hohensinner Austria
Noemí Rotllán Spain
Wen Xu China
Jian Wu China
Songqing He China
Wei Tan China
Kang Yang relative to Zhi Yang China Zhi Yang's profile →
Citations per field
00.5×4.5×
Zhi Yang · 1×
Citations per year

Countries citing papers authored by Kang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018210
2 2015201
3 2017132
4 2011110
5 2013107
6 201299
7 201095
8 201775
9 202272
10 201265
11 201955
12 200952
13 201751
14 201450
15 201049
16 201748
17 201746
18 201446
19 201345
20 201645

About Kang Yang

Kang Yang is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Surgery and Oncology, having authored 134 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (14 papers), RNA modifications and cancer (13 papers), MicroRNA in disease regulation (13 papers), Ferroptosis and cancer prognosis (9 papers), Circular RNAs in diseases (7 papers), Autophagy in Disease and Therapy (6 papers), Liver Disease Diagnosis and Treatment (6 papers) and Epilepsy research and treatment (6 papers). The work is most often cited by research in Cancer Research (1.3k citations), Molecular Biology (1.7k citations), Oncology (350 citations), Nephrology (86 citations) and Pharmacology (100 citations). Kang Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yun Bai, Xingying Guan, Kai Wang, Xuedan Chen, Gang Xiong, Yuanyuan Wu, Xueqing Xu, Li‐Wen Hu, Yan Liang and Hui Meng. Their work appears in journals such as PLoS ONE, Medicine, Journal of Laparoendoscopic & Advanced Surgical Techniques, Frontiers in Oncology and Biomarkers.

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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