Kun Yang
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA modifications and cancer 6
- RNA Interference and Gene Delivery 5
-
- Cancer-related molecular mechanisms research 8
- Cancer, Hypoxia, and Metabolism 6
- 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)Peter E. Wright (1 shared paper)Chaoyong Xiao (11 shared papers)Gira Bhabha (1 shared paper)
- Journals
- Frontiers in Oncology (8 papers)World Neurosurgery (6 papers)Frontiers in Neuroscience (4 papers)European Radiology (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Kun Yang
97 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 126
- Genetics 207
- Cancer Research 268
- Cognitive Neuroscience 189
- Neurology 75
- Sensory Systems 42
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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 112 | |
| 2 | 2020 | 102 | |
| 3 | 2020 | 59 | |
| 4 | 2012 | 51 | |
| 5 | Transferrin and cell-penetrating peptide dual-functioned liposome for targeted drug delivery to glioma. | 2015 | 50 |
| 6 | 2022 | 48 | |
| 7 | 2022 | 47 | |
| 8 | 2020 | 47 | |
| 9 | 2013 | 47 | |
| 10 | 2022 | 46 | |
| 11 | 2022 | 44 | |
| 12 | 2020 | 40 | |
| 13 | 2023 | 39 | |
| 14 | 2022 | 39 | |
| 15 | 2020 | 39 | |
| 16 | 2009 | 33 | |
| 17 | 2020 | 32 | |
| 18 | 2018 | 31 | |
| 19 | 2013 | 30 | |
| 20 | 2020 | 29 |
About Kun Yang
Kun Yang is a scholar working on Molecular Biology, Cancer Research, Genetics, Pulmonary and Respiratory Medicine and Cognitive Neuroscience, having authored 97 papers that have together received 1.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (12 papers), Ferroptosis and cancer prognosis (10 papers), Cancer-related molecular mechanisms research (8 papers), Functional Brain Connectivity Studies (7 papers), Nanoplatforms for cancer theranostics (7 papers), RNA modifications and cancer (6 papers), Cancer, Hypoxia, and Metabolism (6 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Genetics (207 citations), Cancer Research (268 citations), Cognitive Neuroscience (189 citations), Neurology (75 citations) and Sensory Systems (42 citations). Kun Yang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Hongyi Liu, Yuanjie Zou, Hong Xiao, Jiu Chen, Dongming Liu, Peter E. Wright, Chaoyong Xiao, Gira Bhabha, James S. Fraser and Henry van den Bedem. Their work appears in journals such as Frontiers in Oncology, World Neurosurgery, Frontiers in Neuroscience, European Radiology and Frontiers in Immunology.
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.