Fu Yang
Impact in
- Aging top 10%
-
- Invertebrate Immune Response Mechanisms
Papers in
-
- CRISPR and Genetic Engineering 6
- Cancer-related gene regulation 3
- Epigenetics and DNA Methylation 3
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- Invertebrate Immune Response Mechanisms 5
- Co-authors
- Rongwen Xi (11 shared papers)Tao Cai (5 shared papers)Huanwei Huang (5 shared papers)Bowen Deng (2 shared papers)Xingting Guo (2 shared papers)Chang Yin (1 shared paper)Weijia Su (2 shared papers)ZZ Zhao Zhang (2 shared papers)
- Journals
- Cell Reports (2 papers)Nature Communications (1 paper)Scientific Reports (1 paper)Current Biology (1 paper)Diagnostic Pathology (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Fu Yang
28 papers receiving 634 citations
Peers
Comparison fields: 5 of 83
- Aging 26
- Immunology 123
- Cellular and Molecular Neuroscience 91
- Sensory Systems 21
- Cancer Research 62
Countries citing papers authored by Fu Yang
This map shows the geographic impact of Fu Yang'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 Fu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fu Yang more than expected).
Fields of papers citing papers by Fu Yang
This network shows the impact of papers produced by Fu Yang. 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 Fu Yang. The network helps show where Fu Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fu Yang, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 86 | |
| 2 | 2017 | 48 | |
| 3 | 2023 | 46 | |
| 4 | 2017 | 41 | |
| 5 | 2013 | 40 | |
| 6 | 2015 | 31 | |
| 7 | 2022 | 29 | |
| 8 | 2013 | 29 | |
| 9 | 2020 | 28 | |
| 10 | 2020 | 22 | |
| 11 | 2021 | 22 | |
| 12 | 2016 | 22 | |
| 13 | 2022 | 20 | |
| 14 | 2023 | 20 | |
| 15 | 2019 | 19 | |
| 16 | 2020 | 19 | |
| 17 | 2015 | 16 | |
| 18 | 2013 | 16 | |
| 19 | 2020 | 16 | |
| 20 | 2016 | 14 |
About Fu Yang
Fu Yang is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Microbiology and Plant Science, having authored 28 papers that have together received 637 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Invertebrate Immune Response Mechanisms (5 papers), Neurobiology and Insect Physiology Research (4 papers), Antimicrobial Peptides and Activities (3 papers), Cancer-related gene regulation (3 papers), Epigenetics and DNA Methylation (3 papers), Chromosomal and Genetic Variations (3 papers) and Wound Healing and Treatments (2 papers). The work is most often cited by research in Aging (26 citations), Immunology (123 citations), Cellular and Molecular Neuroscience (91 citations), Sensory Systems (21 citations) and Cancer Research (62 citations). Fu Yang has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Rongwen Xi, Tao Cai, Huanwei Huang, Bowen Deng, Xingting Guo, Chang Yin, Weijia Su, ZZ Zhao Zhang, Yi Rao and Yongchao Zhang. Their work appears in journals such as Cell Reports, Nature Communications, Scientific Reports, Current Biology and Diagnostic Pathology.
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.