Xiaodan Fu
Impact in
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- RNA modifications and cancer 5
- Circular RNAs in diseases 2
- Cancer-related gene regulation 2
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- Ferroptosis and cancer prognosis 5
- Co-authors
- Yimin Li (10 shared papers)Qihui Wu (8 shared papers)Jiaxin Liu (8 shared papers)Ruotong Tian (5 shared papers)Chunlin Ou (7 shared papers)Weilu Kuang (1 shared paper)Juanni Li (2 shared papers)Wei Guo (1 shared paper)
- Journals
- Frontiers in Immunology (3 papers)Diagnostic Pathology (2 papers)Frontiers in Molecular Biosciences (2 papers)iScience (1 paper)Medicine (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaodan Fu
28 papers receiving 198 citations
Peers
Comparison fields: 5 of 58
- Cancer Research 77
- Nephrology 14
- Molecular Biology 98
- Reproductive Medicine 10
- Oncology 30
Countries citing papers authored by Xiaodan Fu
This map shows the geographic impact of Xiaodan 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 Xiaodan Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodan Fu more than expected).
Fields of papers citing papers by Xiaodan Fu
This network shows the impact of papers produced by Xiaodan 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 Xiaodan Fu. The network helps show where Xiaodan Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaodan 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 47 | |
| 2 | 2019 | 21 | |
| 3 | 2024 | 19 | |
| 4 | 2018 | 13 | |
| 5 | 2015 | 12 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 7 | |
| 8 | 2020 | 7 | |
| 9 | 2025 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2021 | 6 | |
| 12 | 2017 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2021 | 5 | |
| 16 | Gallstones and their chemical types in relation to serum lipids and apolipoprotein levels. | 1997 | 5 |
| 17 | [Significance of P504s in distinction between solid pseudopapillary tumor of pancreas and pancreatic neuroendocrine tumors]. | 2015 | 4 |
| 18 | 2023 | 3 | |
| 19 | 2014 | 3 | |
| 20 | 2024 | 2 |
About Xiaodan Fu
Xiaodan Fu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Immunology and Oncology, having authored 30 papers that have together received 202 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (5 papers), Ferroptosis and cancer prognosis (5 papers), Endometrial and Cervical Cancer Treatments (2 papers), Circular RNAs in diseases (2 papers), Cancer-related gene regulation (2 papers), Gamma-ray bursts and supernovae (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Cancer Research (77 citations), Nephrology (14 citations), Molecular Biology (98 citations), Reproductive Medicine (10 citations) and Oncology (30 citations). Xiaodan Fu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yimin Li, Qihui Wu, Jiaxin Liu, Ruotong Tian, Chunlin Ou, Weilu Kuang, Juanni Li, Wei Guo, Wenjuan Zhou and Jifang Wen. Their work appears in journals such as Frontiers in Immunology, Diagnostic Pathology, Frontiers in Molecular Biosciences, iScience and Medicine.
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.