Xiaofan Gu
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Muscle Physiology and Disorders 6
- Circular RNAs in diseases 3
-
- Nutrition and Health in Aging 6
- 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)Fangqing Zhao (3 shared papers)
- Journals
- Journal of Cachexia Sarcopenia and Muscle (4 papers)Toxicology and Applied Pharmacology (2 papers)Biochemical and Biophysical Research Communications (1 paper)Oncology Reports (1 paper)Clinical & Translational Oncology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaofan Gu
25 papers receiving 487 citations
Peers
Comparison fields: 5 of 78
- Acoustics and Ultrasonics 7
- Cancer Research 88
- Physiology 105
- Molecular Biology 274
- 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 66 | |
| 2 | 2021 | 59 | |
| 3 | 2017 | 48 | |
| 4 | 2022 | 45 | |
| 5 | 2022 | 41 | |
| 6 | 2021 | 40 | |
| 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 | 15 | |
| 12 | 2021 | 12 | |
| 13 | 2020 | 9 | |
| 14 | 2024 | 8 | |
| 15 | 2015 | 7 | |
| 16 | 2020 | 7 | |
| 17 | 2019 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2025 | 6 | |
| 20 | 2024 | 6 |
About Xiaofan Gu
Xiaofan Gu is a scholar working on Molecular Biology, Physiology, Immunology, Cancer Research and Pathology and Forensic Medicine, having authored 27 papers that have together received 492 indexed citations. Recurring topics across this work include Nutrition and Health in Aging (6 papers), Muscle Physiology and Disorders (6 papers), Circular RNAs in diseases (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cancer Mechanisms and Therapy (2 papers), MicroRNA in disease regulation (2 papers) and GDF15 and Related Biomarkers (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (7 citations), Cancer Research (88 citations), Physiology (105 citations), Molecular Biology (274 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, Fangqing Zhao, Yiwei Li and Hui Wang. Their work appears in journals such as Journal of Cachexia Sarcopenia and Muscle, Toxicology and Applied Pharmacology, Biochemical and Biophysical Research Communications, Oncology Reports and Clinical & Translational Oncology.
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.