Fangyi Dong
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Botulinum Toxin and Related Neurological Disorders
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- Acute Myeloid Leukemia Research
Papers in
-
- Retinoids in leukemia and cellular processes 5
- Single-cell and spatial transcriptomics 2
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- Acute Myeloid Leukemia Research 6
- Co-authors
- Jun Liu (4 shared papers)Shengdi Chen (3 shared papers)Wenyan Kang (3 shared papers)Linyuan Zhang (2 shared papers)Qiong Yang (2 shared papers)Yuanyuan Li (1 shared paper)Lina Zhang (1 shared paper)Junmin Li (7 shared papers)
- Journals
- Scientific Reports (2 papers)Clinical Cancer Research (1 paper)Infection and Drug Resistance (1 paper)Nature Communications (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Fangyi Dong
16 papers receiving 292 citations
Peers
Comparison fields: 5 of 64
- Neurology 133
- Hematology 35
- Sensory Systems 12
- Neurology 19
- Cancer Research 32
Countries citing papers authored by Fangyi Dong
This map shows the geographic impact of Fangyi Dong'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 Fangyi Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangyi Dong more than expected).
Fields of papers citing papers by Fangyi Dong
This network shows the impact of papers produced by Fangyi Dong. 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 Fangyi Dong. The network helps show where Fangyi Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Fangyi Dong, 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 | 2017 | 74 | |
| 2 | 2016 | 64 | |
| 3 | 2017 | 44 | |
| 4 | 2022 | 38 | |
| 5 | 2014 | 19 | |
| 6 | 2022 | 10 | |
| 7 | 2021 | 10 | |
| 8 | 2020 | 10 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2016 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2022 | 1 | |
| 16 | 2024 | 1 |
About Fangyi Dong
Fangyi Dong is a scholar working on Molecular Biology, Hematology, Neurology, Immunology and Cancer Research, having authored 16 papers that have together received 294 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Retinoids in leukemia and cellular processes (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Neurological disorders and treatments (4 papers), Single-cell and spatial transcriptomics (2 papers), Botulinum Toxin and Related Neurological Disorders (2 papers), Immune Cell Function and Interaction (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Neurology (133 citations), Hematology (35 citations), Sensory Systems (12 citations), Neurology (19 citations) and Cancer Research (32 citations). Fangyi Dong has collaborated with scholars based in China and United States. Frequent co-authors include Jun Liu, Shengdi Chen, Wenyan Kang, Linyuan Zhang, Qiong Yang, Yuanyuan Li, Lina Zhang, Junmin Li, Thomas J. Quinn and Teng Zhang. Their work appears in journals such as Scientific Reports, Clinical Cancer Research, Infection and Drug Resistance, Nature Communications and Frontiers in 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.