Xiaoxu Ge
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Circular RNAs in diseases
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
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- Circular RNAs in diseases 5
- Metabolism, Diabetes, and Cancer 4
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- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 4
- Co-authors
- Shan Huang (10 shared papers)Wenfang Peng (10 shared papers)Bojin Xu (8 shared papers)Lisha Shen (6 shared papers)Lili Xia (6 shared papers)Lifeng Sun (9 shared papers)Xiaohong Jiang (6 shared papers)Jian Wang (2 shared papers)
- Journals
- Frontiers in Immunology (3 papers)Molecular and Cellular Biochemistry (3 papers)Frontiers in Endocrinology (3 papers)Gene (2 papers)Journal of Cellular and Molecular Medicine (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoxu Ge
40 papers receiving 694 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 270
- Molecular Biology 314
- Nephrology 30
- Oncology 109
- Immunology 84
Countries citing papers authored by Xiaoxu Ge
This map shows the geographic impact of Xiaoxu Ge'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 Xiaoxu Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxu Ge more than expected).
Fields of papers citing papers by Xiaoxu Ge
This network shows the impact of papers produced by Xiaoxu Ge. 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 Xiaoxu Ge. The network helps show where Xiaoxu Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoxu Ge, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 88 | |
| 2 | 2019 | 81 | |
| 3 | 2019 | 76 | |
| 4 | 2020 | 43 | |
| 5 | 2020 | 40 | |
| 6 | 2020 | 37 | |
| 7 | 2019 | 37 | |
| 8 | 2020 | 35 | |
| 9 | 2020 | 28 | |
| 10 | 2021 | 16 | |
| 11 | 2017 | 16 | |
| 12 | 2020 | 16 | |
| 13 | 2018 | 15 | |
| 14 | 2015 | 14 | |
| 15 | 2023 | 13 | |
| 16 | 2022 | 12 | |
| 17 | 2022 | 12 | |
| 18 | 2022 | 11 | |
| 19 | 2019 | 10 | |
| 20 | 2021 | 9 |
About Xiaoxu Ge
Xiaoxu Ge is a scholar working on Molecular Biology, Cancer Research, Surgery, Oncology and Endocrinology, Diabetes and Metabolism, having authored 46 papers that have together received 694 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Pancreatic function and diabetes (5 papers), Diabetes Treatment and Management (4 papers), Metabolism, Diabetes, and Cancer (4 papers), MicroRNA in disease regulation (4 papers) and Ovarian cancer diagnosis and treatment (3 papers). The work is most often cited by research in Cancer Research (270 citations), Molecular Biology (314 citations), Nephrology (30 citations), Oncology (109 citations) and Immunology (84 citations). Xiaoxu Ge has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shan Huang, Wenfang Peng, Bojin Xu, Lisha Shen, Lili Xia, Lifeng Sun, Xiaohong Jiang, Jian Wang, Liuqing Xi and Zhanhuai Wang. Their work appears in journals such as Frontiers in Immunology, Molecular and Cellular Biochemistry, Frontiers in Endocrinology, Gene and Journal of Cellular and Molecular 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.