Xiaozhe Fu
- Immunology top 5%
- Aquaculture disease management and microbiota 42
- interferon and immune responses 10
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies 28
- Endocrinology top 5%
- Aquatic Science top 5%
- Microbiology top 10%
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- Virus-based gene therapy research 10
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- Viral Infections and Vectors 8
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- RNA Interference and Gene Delivery 5
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- Autophagy in Disease and Therapy 5
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- Cancer, Hypoxia, and Metabolism 4
- Journals
- Fish & Shellfish Immunology (24 papers)Aquaculture (7 papers)Microbial Pathogenesis (6 papers)
- Partner nations
- ChinaUnited StatesNepal
In The Last Decade
Xiaozhe Fu
60 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 80
- Immunology 888
- Animal Science and Zoology 334
- Endocrinology 148
- Aquatic Science 130
- Microbiology 65
Countries citing papers authored by Xiaozhe Fu
This map shows the geographic impact of Xiaozhe 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 Xiaozhe Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaozhe Fu more than expected).
Fields of papers citing papers by Xiaozhe Fu
This network shows the impact of papers produced by Xiaozhe 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 Xiaozhe Fu. The network helps show where Xiaozhe Fu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaozhe 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 | 2024 | 3 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 1 | |
| 8 | 2019 | 22 | |
| 9 | 2019 | 10 | |
| 10 | 2019 | 5 | |
| 11 | 2018 | 15 | |
| 12 | 2018 | 17 | |
| 13 | 2017 | 63 | |
| 14 | 2017 | 18 | |
| 15 | Development and identification of monoclonal antibody against recombinant major capsid protein of infectious spleen and kidney necrosis virus from Siniperca chuatsi. | 2016 | 1 |
| 16 | 2016 | 23 | |
| 17 | 2016 | 29 | |
| 18 | 2015 | 37 | |
| 19 | qPCR method for virus titer testing of infectious spleen and kidney necrosis virus. | 2014 | 2 |
| 20 | 2012 | 40 |
About Xiaozhe Fu
Xiaozhe Fu is a scholar working on Animal Science and Zoology, Immunology, Cancer Research, Microbiology and Endocrinology, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (42 papers), Animal Virus Infections Studies (28 papers), interferon and immune responses (10 papers), Virus-based gene therapy research (10 papers), Viral Infections and Vectors (8 papers), RNA Interference and Gene Delivery (5 papers), Autophagy in Disease and Therapy (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Immunology (888 citations), Animal Science and Zoology (334 citations), Endocrinology (148 citations), Aquatic Science (130 citations) and Microbiology (65 citations). Xiaozhe Fu has collaborated with scholars based in China, United States and Nepal. Frequent co-authors include Ningqiu Li, Qiang Lin, Zhibin Huang, Lihui Liu, Hongru Liang, WU Shu-qin, Yinjie Niu, Jianguo Su, Lihui Liu and Xia Luo. Their work appears in journals such as Fish & Shellfish Immunology, Aquaculture, Microbial Pathogenesis, Vaccines and Microbiology Spectrum.
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.