Jun Fu
Impact in
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- Hereditary Neurological Disorders
- Genetic Neurodegenerative Diseases
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- MicroRNA in disease regulation
Papers in
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- Genetic Neurodegenerative Diseases 8
- Hereditary Neurological Disorders 8
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- Neurological diseases and metabolism 3
- Parkinson's Disease Mechanisms and Treatments 2
- Amyotrophic Lateral Sclerosis Research 2
- Co-authors
- Yun Yuan (6 shared papers)Xue Wu (1 shared paper)Liangliang Cao (1 shared paper)Liang Zhao (1 shared paper)Zhenyu Xu (1 shared paper)Xia Wu (1 shared paper)Ming Chui Dong (1 shared paper)Hong Wang (1 shared paper)
In The Last Decade
Jun Fu
25 papers receiving 368 citations
Peers
Comparison fields: 5 of 65
- Cellular and Molecular Neuroscience 85
- Cancer Research 53
- Genetics 35
- Neurology 49
- Molecular Biology 225
Countries citing papers authored by Jun Fu
This map shows the geographic impact of Jun 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 Jun Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Fu more than expected).
Fields of papers citing papers by Jun Fu
This network shows the impact of papers produced by Jun 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 Jun Fu. The network helps show where Jun Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 138 | |
| 2 | 2016 | 42 | |
| 3 | Cerebrospinal fluid biomarkers for brain tumor detection: clinical roles and current progress. | 2020 | 37 |
| 4 | 2021 | 28 | |
| 5 | 2017 | 15 | |
| 6 | 2017 | 15 | |
| 7 | 2022 | 14 | |
| 8 | 2019 | 13 | |
| 9 | 2018 | 12 | |
| 10 | 2010 | 11 | |
| 11 | 2019 | 7 | |
| 12 | 2020 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2019 | 4 | |
| 15 | Negative pressure sealing drainage technology combined with adequate irrigation for oral and maxillofacial space infection can improve serum inflammatory factor levels. | 2023 | 4 |
| 16 | 2018 | 4 | |
| 17 | 2019 | 3 | |
| 18 | Classification for Some Sterile Lines and Their Restorers of Hybrid Rice with SSR Markers | 2006 | 2 |
| 19 | On growth character of young trees of Populus cathayana of different provenances | 2004 | 2 |
| 20 | 2022 | 2 |
About Jun Fu
Jun Fu is a scholar working on Cellular and Molecular Neuroscience, Neurology, Neurology, Molecular Biology and Plant Science, having authored 27 papers that have together received 369 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (8 papers), Hereditary Neurological Disorders (8 papers), Muscle Physiology and Disorders (4 papers), Neurological diseases and metabolism (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Mitochondrial Function and Pathology (2 papers), RNA modifications and cancer (2 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (85 citations), Cancer Research (53 citations), Genetics (35 citations), Neurology (49 citations) and Molecular Biology (225 citations). Jun Fu has collaborated with scholars based in China and Australia. Frequent co-authors include Yun Yuan, Xue Wu, Liangliang Cao, Liang Zhao, Zhenyu Xu, Xia Wu, Ming Chui Dong, Hong Wang, Jia Tao Song and Mingming Ma. Their work appears in journals such as Neuromuscular Disorders, Neuropathology, Frontiers in Genetics, Journal of Inherited Metabolic Disease and Clinical Genetics.
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.