Fuyan Hu
Impact in
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- Cancer-related molecular mechanisms research
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- Customer churn and segmentation
Papers in
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- Bioinformatics and Genomic Networks 4
- RNA Research and Splicing 3
- RNA modifications and cancer 3
- Gene Regulatory Network Analysis 2
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- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 2
- Co-authors
- Xinping Xiao (6 shared papers)Congjun Rao (6 shared papers)Mark Goh (5 shared papers)Xiaoping Liu (2 shared papers)Zhiyuan Yang (4 shared papers)Qingjia Chi (3 shared papers)Yu Shi (2 shared papers)Xiaolong Zhang (1 shared paper)
In The Last Decade
Fuyan Hu
23 papers receiving 249 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 36
- Marketing 21
- Management Science and Operations Research 26
- Pulmonary and Respiratory Medicine 41
- Molecular Biology 81
Countries citing papers authored by Fuyan Hu
This map shows the geographic impact of Fuyan Hu'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 Fuyan Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuyan Hu more than expected).
Fields of papers citing papers by Fuyan Hu
This network shows the impact of papers produced by Fuyan Hu. 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 Fuyan Hu. The network helps show where Fuyan Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fuyan Hu, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 44 | |
| 2 | 2019 | 33 | |
| 3 | 2023 | 31 | |
| 4 | 2024 | 24 | |
| 5 | 2024 | 16 | |
| 6 | 2011 | 15 | |
| 7 | 2024 | 14 | |
| 8 | 2018 | 9 | |
| 9 | 2020 | 9 | |
| 10 | 2020 | 9 | |
| 11 | 2020 | 7 | |
| 12 | 2021 | 7 | |
| 13 | 2024 | 7 | |
| 14 | 2011 | 7 | |
| 15 | 2012 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2018 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2022 | 1 |
About Fuyan Hu
Fuyan Hu is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Marketing and Genetics, having authored 23 papers that have together received 253 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Cancer-related molecular mechanisms research (4 papers), RNA Research and Splicing (3 papers), RNA modifications and cancer (3 papers), Customer churn and segmentation (3 papers), Ferroptosis and cancer prognosis (2 papers), MicroRNA in disease regulation (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Cancer Research (36 citations), Marketing (21 citations), Management Science and Operations Research (26 citations), Pulmonary and Respiratory Medicine (41 citations) and Molecular Biology (81 citations). Fuyan Hu has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Xinping Xiao, Congjun Rao, Mark Goh, Xiaoping Liu, Zhiyuan Yang, Qingjia Chi, Yu Shi, Xiaolong Zhang, Yuxuan Zhou and Qing Wang. Their work appears in journals such as Genes, International Journal of Molecular Sciences, Expert Systems with Applications, Gene and Swarm and Evolutionary Computation.
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.