Liang-Yu Fu
Impact in
- Plant Science top 10%
- Plant Molecular Biology Research
- Chromosomal and Genetic Variations
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- Genomics and Chromatin Dynamics
- Plant Reproductive Biology
- Genomics and Phylogenetic Studies
- Plant Gene Expression Analysis
- Photosynthetic Processes and Mechanisms
- Bioinformatics and Genomic Networks
Papers in
-
- Genomics and Phylogenetic Studies 4
- Genomics and Chromatin Dynamics 3
- RNA and protein synthesis mechanisms 2
- Bioinformatics and Genomic Networks 2
- Single-cell and spatial transcriptomics 1
-
- Computational Drug Discovery Methods 2
- Co-authors
- Dijun Chen (7 shared papers)Kerstin Kaufmann (4 shared papers)Wenhao Yan (2 shared papers)Hongyu Zhang (6 shared papers)Zhongyi Wang (3 shared papers)Ming Chen (5 shared papers)Bin‐Guang Ma (2 shared papers)Zhaohui He (3 shared papers)
- Journals
- Nature Communications (2 papers)Plant Communications (2 papers)Nucleic Acids Research (2 papers)BMC Genomics (1 paper)Trends in Molecular Medicine (1 paper)
- Partner nations
- ChinaGermanyUnited Kingdom
In The Last Decade
Liang-Yu Fu
13 papers receiving 387 citations
Peers
Comparison fields: 5 of 73
- Plant Science 194
- Molecular Biology 309
- Cancer Research 33
- Genetics 50
- Endocrinology 8
Countries citing papers authored by Liang-Yu Fu
This map shows the geographic impact of Liang-Yu Fu'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 Liang-Yu Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang-Yu Fu more than expected).
Fields of papers citing papers by Liang-Yu Fu
This network shows the impact of papers produced by Liang-Yu Fu. 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 Liang-Yu Fu. The network helps show where Liang-Yu Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Liang-Yu Fu, 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 | 2018 | 135 | |
| 2 | 2022 | 44 | |
| 3 | 2013 | 42 | |
| 4 | 2013 | 26 | |
| 5 | 2011 | 24 | |
| 6 | 2013 | 23 | |
| 7 | 2011 | 19 | |
| 8 | 2023 | 17 | |
| 9 | 2015 | 16 | |
| 10 | 2023 | 13 | |
| 11 | 2018 | 13 | |
| 12 | 2018 | 13 | |
| 13 | 2012 | 10 |
About Liang-Yu Fu
Liang-Yu Fu is a scholar working on Molecular Biology, Computational Theory and Mathematics, Genetics, Plant Science and Cancer Research, having authored 13 papers that have together received 395 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Genomics and Chromatin Dynamics (3 papers), Computational Drug Discovery Methods (2 papers), RNA and protein synthesis mechanisms (2 papers), Bioinformatics and Genomic Networks (2 papers), Single-cell and spatial transcriptomics (1 paper), Plant Molecular Biology Research (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Plant Science (194 citations), Molecular Biology (309 citations), Cancer Research (33 citations), Genetics (50 citations) and Endocrinology (8 citations). Liang-Yu Fu has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Dijun Chen, Kerstin Kaufmann, Wenhao Yan, Hongyu Zhang, Zhongyi Wang, Ming Chen, Bin‐Guang Ma, Zhaohui He, Cheng Peng and Pengfei Dong. Their work appears in journals such as Nature Communications, Plant Communications, Nucleic Acids Research, BMC Genomics and Trends in 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.