Yun Hua
- Immunology and Allergy top 5%
- Cell Biology top 10%
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- Cytokine Signaling Pathways and Interactions 5
- Viral-associated cancers and disorders 3
- Cancer-related Molecular Pathways 3
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- interferon and immune responses 3
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- Prostate Cancer Treatment and Research 5
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- Cell death mechanisms and regulation 3
- Ubiquitin and proteasome pathways 3
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Yizeng TuChuanyue WuYao HuangYongjun ZhangPaul A. JohnstonJohn S. LazoTong Ying ShunDaniel P. Camarco
- Journals
- Assay and Drug Development Technologies (8 papers)SLAS DISCOVERY (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)
- Partner nations
- United StatesChinaPoland
In The Last Decade
Yun Hua
33 papers receiving 660 citations
Peers
Comparison fields: 5 of 93
- Immunology and Allergy 157
- Cell Biology 128
- Oncology 154
- Immunology 105
- Cancer Research 72
Countries citing papers authored by Yun Hua
This map shows the geographic impact of Yun Hua'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 Yun Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Hua more than expected).
Fields of papers citing papers by Yun Hua
This network shows the impact of papers produced by Yun Hua. 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 Yun Hua. The network helps show where Yun Hua may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yun Hua, 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 | 2023 | 1 | |
| 2 | 2019 | 7 | |
| 3 | 2018 | 6 | |
| 4 | 2017 | 9 | |
| 5 | 2017 | 7 | |
| 6 | 2016 | 10 | |
| 7 | 2016 | 24 | |
| 8 | 2015 | 24 | |
| 9 | 2015 | 3 | |
| 10 | 2014 | 16 | |
| 11 | 2014 | 17 | |
| 12 | 2013 | 28 | |
| 13 | 2013 | 22 | |
| 14 | 2012 | 21 | |
| 15 | 2011 | 35 | |
| 16 | Inhibitory effect of fatty acids from specifically-cultivated Chrysomya megacephala (Fabricius) (Diptera:Calliphoridae) larvae on tumor cells and HIV-1 integrase in vitro and their ingredient analysis | 2008 | 2 |
| 17 | Analgesic action of mallotus furetianus | 2003 | 1 |
| 18 | 2003 | 40 | |
| 19 | 2002 | 33 | |
| 20 | 2002 | 24 |
About Yun Hua
Yun Hua is a scholar working on Oncology, Biophysics and Immunology, having authored 35 papers that have together received 668 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (5 papers), Cytokine Signaling Pathways and Interactions (5 papers), interferon and immune responses (3 papers), Cell death mechanisms and regulation (3 papers), Viral-associated cancers and disorders (3 papers), Ubiquitin and proteasome pathways (3 papers), Cancer-related Molecular Pathways (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Immunology and Allergy (157 citations), Cell Biology (128 citations) and Oncology (154 citations). Yun Hua has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Yizeng Tu, Chuanyue Wu, Yao Huang, Yongjun Zhang, Paul A. Johnston, John S. Lazo, Tong Ying Shun, Daniel P. Camarco, Christopher J. Strock and Timothy R. Billiar. Their work appears in journals such as Assay and Drug Development Technologies, SLAS DISCOVERY, Bioorganic & Medicinal Chemistry Letters, The Journal of Cell Biology and The Journal of Continuing Education in Nursing.
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.