Kun Zhao
- Molecular Biology top 2%
- Cancer Research top 0.5%
- Physiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Oncology top 10%
- Co-authors
- Nu ZhangJohn M. JohnsonFeizhe XiaoWojciech A. KosibaMaolei ZhangHuangkai ZhouNunu HuangXuesong Yang
- Topics
- Viral Infections and Immunology Research (10 papers)Viral gastroenteritis research and epidemiology (10 papers)Thermoregulation and physiological responses (10 papers)
- Partner nations
- ChinaUnited StatesNigeria
In The Last Decade
Kun Zhao
78 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 3.1k
- Cancer Research 2.1k
- Physiology 622
- Cardiology and Cardiovascular Medicine 554
- Oncology 361
Countries citing papers authored by Kun Zhao
This map shows the geographic impact of Kun Zhao'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 Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Zhao more than expected).
Fields of papers citing papers by Kun Zhao
This network shows the impact of papers produced by Kun Zhao. 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 Zhao. The network helps show where Kun Zhao may publish in the future.
Co-authorship network of co-authors of Kun Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Kun Zhao. A scholar is included among the top collaborators of Kun Zhao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kun Zhao. Kun Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 45 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 24 | |
| 9 | 40 | |
| 10 | 1 | |
| 11 | A novel protein encoded by the circular form of the SHPRH gene suppresses glioma tumorigenesisbreakdown → | 585 |
| 12 | A peptide encoded by circular form of LINC-PINT suppresses oncogenic transcriptional elongation in glioblastomabreakdown → | 548 |
| 13 | 6 | |
| 14 | Overcoming ABC transporter-mediated multidrug resistance: Molecular mechanisms and novel therapeutic drug strategiesbreakdown → | 555 |
| 15 | 25 | |
| 16 | 12 | |
| 17 | Evaluation of protective efficacy of recombinant subunit vaccine against PCP and its immunologic mechanisms | 0 |
| 18 | 106 | |
| 19 | Studies on the Effect of Alfalfa Polysaccharide on the Immune Efficacy of Swine Fever Vaccine | 1 |
| 20 | 126 |
About Kun Zhao
Kun Zhao is a scholar working on Cardiology and Cardiovascular Medicine, Cancer Research and Infectious Diseases, having authored 86 papers that have together received 4.8k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (10 papers), Viral gastroenteritis research and epidemiology (10 papers) and Thermoregulation and physiological responses (10 papers). The work is most often cited by research in Cancer Research (2.1k citations), Molecular Biology (3.1k citations) and Rehabilitation (168 citations). Kun Zhao has collaborated with scholars based in China, United States and Nigeria. Frequent co-authors include Nu Zhang, John M. Johnson, Feizhe Xiao, Wojciech A. Kosiba, Maolei Zhang, Huangkai Zhou, Nunu Huang, Xuesong Yang, Sheng Yan and Xinya Gao. Their work appears in journals such as Nature Communications, PLoS ONE and Nature Cell 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.