Xiaomei Ge
Impact in
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- Galectins and Cancer Biology
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- Protein Tyrosine Phosphatases
- Muscle Physiology and Disorders
- Fibroblast Growth Factor Research
- Kruppel-like factors research
Papers in
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- Muscle Physiology and Disorders 3
- Protein Tyrosine Phosphatases 2
- Kruppel-like factors research 1
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- Galectins and Cancer Biology 2
- Mast cells and histamine 2
- Co-authors
- Honglin Jiang (6 shared papers)Haibo Sha (2 shared papers)Hu Zeng (1 shared paper)Xiang Gao (1 shared paper)Minyue Zhang (1 shared paper)Xiaopeng Wu (1 shared paper)Yafei Zhang (2 shared papers)Qiang Xu (1 shared paper)
- Journals
- Cancer Research (2 papers)PLoS ONE (2 papers)Blood (1 paper)Endocrinology (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Xiaomei Ge
20 papers receiving 482 citations
Peers
Comparison fields: 5 of 98
- Immunology 105
- Molecular Biology 283
- Aging 5
- Cancer Research 39
- Animal Science and Zoology 26
Countries citing papers authored by Xiaomei Ge
This map shows the geographic impact of Xiaomei 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 Xiaomei Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaomei Ge more than expected).
Fields of papers citing papers by Xiaomei Ge
This network shows the impact of papers produced by Xiaomei 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 Xiaomei Ge. The network helps show where Xiaomei Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaomei 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 134 | |
| 2 | 2018 | 54 | |
| 3 | 2011 | 42 | |
| 4 | 2012 | 39 | |
| 5 | 2013 | 33 | |
| 6 | 2017 | 30 | |
| 7 | 2014 | 26 | |
| 8 | 2013 | 25 | |
| 9 | 2018 | 25 | |
| 10 | 2007 | 25 | |
| 11 | 2009 | 19 | |
| 12 | 2007 | 9 | |
| 13 | 2019 | 9 | |
| 14 | 2011 | 5 | |
| 15 | 2022 | 3 | |
| 16 | 2017 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2017 | 1 | |
| 20 | 2016 | 1 |
About Xiaomei Ge
Xiaomei Ge is a scholar working on Molecular Biology, Immunology, Genetics, Oncology and Biomaterials, having authored 21 papers that have together received 487 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (3 papers), Protein Tyrosine Phosphatases (2 papers), Galectins and Cancer Biology (2 papers), Mast cells and histamine (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Kruppel-like factors research (1 paper) and Connective tissue disorders research (1 paper). The work is most often cited by research in Immunology (105 citations), Molecular Biology (283 citations), Aging (5 citations), Cancer Research (39 citations) and Animal Science and Zoology (26 citations). Xiaomei Ge has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Honglin Jiang, Haibo Sha, Hu Zeng, Xiang Gao, Minyue Zhang, Xiaopeng Wu, Yafei Zhang, Qiang Xu, Ying Zhao and Xian‐Ming Zhang. Their work appears in journals such as Cancer Research, PLoS ONE, Blood, Endocrinology and International Journal of Biological Macromolecules.
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.