Kun Yang
Impact in
- Behavioral Neuroscience top 10%
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
-
- Advanced biosensing and bioanalysis techniques 9
- RNA Interference and Gene Delivery 7
- Immunology 27
- Immunotherapy and Immune Responses 15
- Immune Cell Function and Interaction 12
- Co-authors
- Boquan Jin (45 shared papers)Chaojun Song (26 shared papers)Yuanjie Sun (26 shared papers)Angang Yang (21 shared papers)Dongbo Jiang (21 shared papers)Zhuwei Xu (14 shared papers)Shuya Yang (9 shared papers)Ran Zhuang (13 shared papers)
- Journals
- Scientific Reports (4 papers)Analytica Chimica Acta (3 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)Vaccines (3 papers)Journal of Medicinal Chemistry (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Kun Yang
91 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 124
- Behavioral Neuroscience 58
- Immunology 332
- Infectious Diseases 284
- Cancer Research 229
- Toxicology 45
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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 86 | |
| 2 | 2021 | 84 | |
| 3 | 2016 | 62 | |
| 4 | 2022 | 57 | |
| 5 | 2018 | 49 | |
| 6 | 2008 | 47 | |
| 7 | 2017 | 47 | |
| 8 | 2014 | 46 | |
| 9 | 2012 | 46 | |
| 10 | 2006 | 44 | |
| 11 | 2017 | 42 | |
| 12 | 2012 | 39 | |
| 13 | 2021 | 37 | |
| 14 | 2010 | 35 | |
| 15 | 2010 | 32 | |
| 16 | 2008 | 30 | |
| 17 | 2016 | 30 | |
| 18 | 2024 | 29 | |
| 19 | 2020 | 28 | |
| 20 | 2014 | 27 |
About Kun Yang
Kun Yang is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Cancer Research and Oncology, having authored 94 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (15 papers), Viral Infections and Outbreaks Research (12 papers), Immune Cell Function and Interaction (12 papers), Viral Infections and Vectors (12 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Advanced biosensing and bioanalysis techniques (9 papers), Biosensors and Analytical Detection (8 papers) and RNA Interference and Gene Delivery (7 papers). The work is most often cited by research in Behavioral Neuroscience (58 citations), Immunology (332 citations), Infectious Diseases (284 citations), Cancer Research (229 citations) and Toxicology (45 citations). Kun Yang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Boquan Jin, Chaojun Song, Yuanjie Sun, Angang Yang, Dongbo Jiang, Zhuwei Xu, Shuya Yang, Ran Zhuang, Xiyang Zhang and Chunmei Zhang. Their work appears in journals such as Scientific Reports, Analytica Chimica Acta, Bioorganic & Medicinal Chemistry Letters, Vaccines and Journal of Medicinal Chemistry.
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.