Zikun Yang
Impact in
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- SARS-CoV-2 and COVID-19 Research
Papers in
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- Genomics and Chromatin Dynamics 2
- Single-cell and spatial transcriptomics 1
- Genetics 5
- Genetic Associations and Epidemiology 4
- Genetic Mapping and Diversity in Plants and Animals 3
- Genetic and phenotypic traits in livestock 2
- Co-authors
- Paul Bogdan (1 shared paper)Shahin Nazarian (1 shared paper)Chen Wang (3 shared papers)Iuliana Ionita‐Laza (3 shared papers)Badri N. Vardarajan (2 shared papers)Atlas Khan (1 shared paper)Annie Lee (1 shared paper)Krzysztof Kiryluk (1 shared paper)
- Journals
- Cell Genomics (1 paper)The American Journal of Human Genetics (1 paper)Scientific Reports (1 paper)Alzheimer s Research & Therapy (1 paper)Nature Genetics (1 paper)
- Partner nations
- United StatesPeruChina
In The Last Decade
Zikun Yang
8 papers receiving 221 citations
Zikun Yang's Hit Papers
Peers
Comparison fields: 5 of 56
- Infectious Diseases 73
- Health Informatics 5
- Molecular Biology 168
- Radiology, Nuclear Medicine and Imaging 53
- Biotechnology 18
Countries citing papers authored by Zikun Yang
This map shows the geographic impact of Zikun 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 Zikun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zikun Yang more than expected).
Fields of papers citing papers by Zikun Yang
This network shows the impact of papers produced by Zikun 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 Zikun Yang. The network helps show where Zikun Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zikun 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
| # | Work | ||
|---|---|---|---|
| 1 | An in silico deep learning approach to multi-epitope vaccine design: a SARS-CoV-2 case study Hit paper breakdown → | 2021 | 174 |
| 2 | 2023 | 25 | |
| 3 | 2023 | 8 | |
| 4 | 2025 | 6 | |
| 5 | 2025 | 3 | |
| 6 | 2021 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2025 | 0 |
About Zikun Yang
Zikun Yang is a scholar working on Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging, Virology and Artificial Intelligence, having authored 9 papers that have together received 222 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Genetic and phenotypic traits in livestock (2 papers), Genomics and Chromatin Dynamics (2 papers), Single-cell and spatial transcriptomics (1 paper), HIV Research and Treatment (1 paper), COVID-19 diagnosis using AI (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Infectious Diseases (73 citations), Health Informatics (5 citations), Molecular Biology (168 citations), Radiology, Nuclear Medicine and Imaging (53 citations) and Biotechnology (18 citations). Zikun Yang has collaborated with scholars based in United States, Peru and China. Frequent co-authors include Paul Bogdan, Shahin Nazarian, Chen Wang, Iuliana Ionita‐Laza, Badri N. Vardarajan, Atlas Khan, Annie Lee, Krzysztof Kiryluk, Richard Mayeux and Marcio Soto‐Añari. Their work appears in journals such as Cell Genomics, The American Journal of Human Genetics, Scientific Reports, Alzheimer s Research & Therapy and Nature Genetics.
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.