Kun Yang
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
- Genetics 29
- Glioma Diagnosis and Treatment 29
- Co-authors
- Hongyi Liu (33 shared papers)Yuanjie Zou (28 shared papers)Hong Xiao (14 shared papers)Jiu Chen (18 shared papers)Dongming Liu (15 shared papers)Chaoyong Xiao (11 shared papers)Yong Liu (12 shared papers)Yong Xiao (11 shared papers)
- Journals
- Frontiers in Oncology (8 papers)World Neurosurgery (6 papers)Frontiers in Neuroscience (4 papers)Acta Oto-Laryngologica (2 papers)Frontiers in Cell and Developmental Biology (2 papers)
- Partner nations
- ChinaUnited StatesIran
In The Last Decade
Kun Yang
91 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 95
- Genetics 342
- Cancer Research 147
- Biomaterials 114
- Cognitive Neuroscience 190
- Sensory Systems 47
Countries citing papers authored by Kun Yang
This map shows the geographic impact of Kun 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 Kun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Yang more than expected).
Fields of papers citing papers by Kun Yang
This network shows the impact of papers produced by Kun 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 Kun Yang. The network helps show where Kun Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 101 | |
| 2 | Transferrin and cell-penetrating peptide dual-functioned liposome for targeted drug delivery to glioma. | 2015 | 54 |
| 3 | 2022 | 54 | |
| 4 | 2022 | 54 | |
| 5 | 2012 | 53 | |
| 6 | 2022 | 52 | |
| 7 | 2020 | 51 | |
| 8 | 2022 | 49 | |
| 9 | 2013 | 47 | |
| 10 | 2022 | 42 | |
| 11 | 2023 | 42 | |
| 12 | 2020 | 41 | |
| 13 | 2020 | 41 | |
| 14 | 2009 | 34 | |
| 15 | 2020 | 33 | |
| 16 | 2018 | 32 | |
| 17 | 2023 | 32 | |
| 18 | 2013 | 30 | |
| 19 | 2022 | 30 | |
| 20 | 2016 | 29 |
About Kun Yang
Kun Yang is a scholar working on Genetics, Cancer Research, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Biomaterials, having authored 95 papers that have together received 1.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (29 papers), Functional Brain Connectivity Studies (10 papers), Nanoparticle-Based Drug Delivery (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Ferroptosis and cancer prognosis (4 papers), RNA Interference and Gene Delivery (4 papers) and Traditional Chinese Medicine Analysis (4 papers). The work is most often cited by research in Genetics (342 citations), Cancer Research (147 citations), Biomaterials (114 citations), Cognitive Neuroscience (190 citations) and Sensory Systems (47 citations). Kun Yang has collaborated with scholars based in China, United States and Iran. Frequent co-authors include Hongyi Liu, Yuanjie Zou, Hong Xiao, Jiu Chen, Dongming Liu, Chaoyong Xiao, Yong Liu, Yong Xiao, Xianglong Tang and Zhi‐Min Chen. Their work appears in journals such as Frontiers in Oncology, World Neurosurgery, Frontiers in Neuroscience, Acta Oto-Laryngologica and Frontiers in Cell and Developmental Biology.
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.