Hua Yan
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
- Biochemistry top 5%
- Antioxidant Activity and Oxidative Stress
Papers in
- Hematology 10
- Multiple Myeloma Research and Treatments 7
- Acute Myeloid Leukemia Research 3
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- Protein Degradation and Inhibitors 6
- Retinoids in leukemia and cellular processes 4
- Cell death mechanisms and regulation 2
- PI3K/AKT/mTOR signaling in cancer 2
- Co-authors
- Yingli Wu (10 shared papers)Wenbin Xu (3 shared papers)Jia Tong (3 shared papers)Yang Cao (4 shared papers)Yanhong Wang (1 shared paper)Chongchong Wang (1 shared paper)Rufang Xiang (2 shared papers)Nan Zhang (2 shared papers)
- Journals
- Blood (3 papers)Cell Death and Disease (2 papers)The Journal of Gene Medicine (1 paper)International Journal of Biological Macromolecules (1 paper)International Journal of Molecular Medicine (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Hua Yan
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 78
- Hematology 476
- Biochemistry 151
- Oncology 358
- Molecular Biology 784
- Immunology 115
Countries citing papers authored by Hua Yan
This map shows the geographic impact of Hua Yan'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 Hua Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Yan more than expected).
Fields of papers citing papers by Hua Yan
This network shows the impact of papers produced by Hua Yan. 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 Hua Yan. The network helps show where Hua Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hua Yan, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 544 | |
| 2 | 2019 | 327 | |
| 3 | 2017 | 49 | |
| 4 | 2012 | 41 | |
| 5 | 2019 | 36 | |
| 6 | 2016 | 21 | |
| 7 | 2024 | 20 | |
| 8 | 2013 | 19 | |
| 9 | 2021 | 18 | |
| 10 | 2001 | 14 | |
| 11 | 2021 | 14 | |
| 12 | 2018 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2025 | 5 | |
| 17 | 2001 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2000 | 1 | |
| 20 | 2008 | 1 |
About Hua Yan
Hua Yan is a scholar working on Hematology, Molecular Biology, Oncology, Ophthalmology and Cell Biology, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (7 papers), Protein Degradation and Inhibitors (6 papers), Retinoids in leukemia and cellular processes (4 papers), Acute Myeloid Leukemia Research (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Cell death mechanisms and regulation (2 papers), Ferroptosis and cancer prognosis (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Hematology (476 citations), Biochemistry (151 citations), Oncology (358 citations), Molecular Biology (784 citations) and Immunology (115 citations). Hua Yan has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Yingli Wu, Wenbin Xu, Jia Tong, Yang Cao, Yanhong Wang, Chongchong Wang, Rufang Xiang, Nan Zhang, Wei Wei and Chuanxu Liu. Their work appears in journals such as Blood, Cell Death and Disease, The Journal of Gene Medicine, International Journal of Biological Macromolecules and International Journal of Molecular Medicine.
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.