Xiaofan Gu
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Muscle Physiology and Disorders 7
- Circular RNAs in diseases 4
- Extracellular vesicles in disease 2
- Physiology 10
- Nutrition and Health in Aging 9
- Adipose Tissue and Metabolism 2
- Co-authors
- Xiongwen Zhang (15 shared papers)Xuan Liu (13 shared papers)Wanli Zhang (6 shared papers)Qiang Shen (6 shared papers)Li‐Xing Feng (5 shared papers)Meng Fan (8 shared papers)Chunxiao Miao (3 shared papers)Hui Wang (2 shared papers)
- Journals
- Journal of Cachexia Sarcopenia and Muscle (4 papers)Toxicology and Applied Pharmacology (2 papers)Journal of Pharmacy and Pharmacology (1 paper)Cell Death Discovery (1 paper)Journal of Materials Chemistry B (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaofan Gu
24 papers receiving 453 citations
Peers
Comparison fields: 5 of 82
- Acoustics and Ultrasonics 7
- Cancer Research 101
- Physiology 132
- Molecular Biology 300
- Biotechnology 26
Countries citing papers authored by Xiaofan Gu
This map shows the geographic impact of Xiaofan Gu'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 Xiaofan Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofan Gu more than expected).
Fields of papers citing papers by Xiaofan Gu
This network shows the impact of papers produced by Xiaofan Gu. 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 Xiaofan Gu. The network helps show where Xiaofan Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaofan Gu, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 61 | |
| 2 | 2021 | 60 | |
| 3 | 2017 | 46 | |
| 4 | 2022 | 42 | |
| 5 | 2022 | 37 | |
| 6 | 2021 | 37 | |
| 7 | Binding of RNA m6A by IGF2BP3 triggers chemoresistance of HCT8 cells via upregulation of ABCB1. | 2021 | 37 |
| 8 | 2021 | 21 | |
| 9 | 2018 | 20 | |
| 10 | 2020 | 17 | |
| 11 | 2023 | 14 | |
| 12 | 2021 | 11 | |
| 13 | 2020 | 9 | |
| 14 | 2019 | 7 | |
| 15 | 2015 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2023 | 3 |
About Xiaofan Gu
Xiaofan Gu is a scholar working on Molecular Biology, Physiology, Cancer Research, Rehabilitation and Epidemiology, having authored 25 papers that have together received 459 indexed citations. Recurring topics across this work include Nutrition and Health in Aging (9 papers), Muscle Physiology and Disorders (7 papers), MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (4 papers), Toxin Mechanisms and Immunotoxins (3 papers), Exercise and Physiological Responses (3 papers), Adipose Tissue and Metabolism (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (7 citations), Cancer Research (101 citations), Physiology (132 citations), Molecular Biology (300 citations) and Biotechnology (26 citations). Xiaofan Gu has collaborated with scholars based in China and United States. Frequent co-authors include Xiongwen Zhang, Xuan Liu, Wanli Zhang, Qiang Shen, Li‐Xing Feng, Meng Fan, Chunxiao Miao, Hui Wang, Yu‐Shui Ma and Shanshan Lu. Their work appears in journals such as Journal of Cachexia Sarcopenia and Muscle, Toxicology and Applied Pharmacology, Journal of Pharmacy and Pharmacology, Cell Death Discovery and Journal of Materials Chemistry B.
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.