Kun Huang
- Public Administration top 1%
- Molecular Biology
- Sociology and Political Science top 10%
- Political Science and International Relations top 5%
- General Health Professions top 10%
- Co-authors
- Keith G. ProvanH. Brinton MilwardFangfang BiYue‐Bei LuoHuan YangJian HeKimberley R. IsettQiao Liao
- Topics
- Public Policy and Administration Research (12 papers)Muscle Physiology and Disorders (9 papers)Cardiomyopathy and Myosin Studies (6 papers)
- Cited by
- Public AdministrationOrganizational Behavior and Human Resource ManagementStrategy and Management
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsThe Journal of Immunology
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Kun Huang
51 papers receiving 932 citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Public Administration 261
- Molecular Biology 237
- Sociology and Political Science 227
- Political Science and International Relations 146
- General Health Professions 136
Countries citing papers authored by Kun Huang
This map shows the geographic impact of Kun Huang'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 Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Huang more than expected).
Fields of papers citing papers by Kun Huang
This network shows the impact of papers produced by Kun Huang. 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 Huang. The network helps show where Kun Huang may publish in the future.
Co-authorship network of co-authors of Kun Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Kun Huang. A scholar is included among the top collaborators of Kun Huang 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 Huang. Kun Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Tumor metabolic regulators: key drivers of metabolic reprogramming and the promising targets in cancer therapybreakdown → | 30 |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 10 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 47 | |
| 14 | 7 | |
| 15 | 19 | |
| 16 | 16 | |
| 17 | 12 | |
| 18 | 14 | |
| 19 | 39 | |
| 20 | 13 |
About Kun Huang
Kun Huang is a scholar working on Public Administration, Genetics and Neurology, having authored 54 papers that have together received 981 indexed citations. Recurring topics across this work include Public Policy and Administration Research (12 papers), Muscle Physiology and Disorders (9 papers) and Cardiomyopathy and Myosin Studies (6 papers). The work is most often cited by research in Public Administration (261 citations), Organizational Behavior and Human Resource Management (86 citations) and Strategy and Management (115 citations). Kun Huang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Keith G. Provan, H. Brinton Milward, Fangfang Bi, Yue‐Bei Luo, Huan Yang, Jian He, Kimberley R. Isett, Qiao Liao, Fang Lee Cooke and Yihao Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and The Journal of 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.