Fangyan Yu
Impact in
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- Cancer Genomics and Diagnostics
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- Genetic factors in colorectal cancer
Papers in
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- Molecular Biology Techniques and Applications 5
- Single-cell and spatial transcriptomics 4
- Hedgehog Signaling Pathway Studies 2
- DNA Repair Mechanisms 2
- CRISPR and Genetic Engineering 2
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- Cancer Genomics and Diagnostics 9
- Co-authors
- G. Mike Makrigiorgos (10 shared papers)Wai Yie Leong (8 shared papers)Ioannis Ladas (4 shared papers)Kai S. Erdmann (2 shared papers)Shruti Sharma (2 shared papers)Viktor A. Adalsteinsson (4 shared papers)Harvey J. Mamon (2 shared papers)Mark O. Collins (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)Clinical Chemistry (2 papers)Nature Biomedical Engineering (1 paper)Scientific Reports (1 paper)Computational and Structural Biotechnology Journal (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Fangyan Yu
16 papers receiving 237 citations
Peers
Comparison fields: 5 of 55
- Cancer Research 131
- Pathology and Forensic Medicine 57
- Oncology 61
- Molecular Biology 130
- Nephrology 10
Countries citing papers authored by Fangyan Yu
This map shows the geographic impact of Fangyan Yu'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 Fangyan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangyan Yu more than expected).
Fields of papers citing papers by Fangyan Yu
This network shows the impact of papers produced by Fangyan Yu. 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 Fangyan Yu. The network helps show where Fangyan Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fangyan Yu, 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 | 2022 | 46 | |
| 2 | 2019 | 32 | |
| 3 | 2018 | 30 | |
| 4 | 2018 | 25 | |
| 5 | 2021 | 19 | |
| 6 | 2020 | 14 | |
| 7 | 2016 | 13 | |
| 8 | 2017 | 10 | |
| 9 | 2019 | 10 | |
| 10 | 2021 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 6 | |
| 13 | 2017 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2019 | 4 | |
| 16 | 2018 | 3 |
About Fangyan Yu
Fangyan Yu is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Genetics and Biomedical Engineering, having authored 16 papers that have together received 240 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), Molecular Biology Techniques and Applications (5 papers), Single-cell and spatial transcriptomics (4 papers), Genetic factors in colorectal cancer (3 papers), Genetic and Kidney Cyst Diseases (2 papers), Hedgehog Signaling Pathway Studies (2 papers), DNA Repair Mechanisms (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Cancer Research (131 citations), Pathology and Forensic Medicine (57 citations), Oncology (61 citations), Molecular Biology (130 citations) and Nephrology (10 citations). Fangyan Yu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include G. Mike Makrigiorgos, Wai Yie Leong, Ioannis Ladas, Kai S. Erdmann, Shruti Sharma, Viktor A. Adalsteinsson, Harvey J. Mamon, Mark O. Collins, Farzaneh Darbeheshti and Sarah C. Reed. Their work appears in journals such as Nucleic Acids Research, Clinical Chemistry, Nature Biomedical Engineering, Scientific Reports and Computational and Structural Biotechnology Journal.
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.