Xiaoling Gan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Circular RNAs in diseases
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
- RNA Research and Splicing
Papers in
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- RNA modifications and cancer 2
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- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 2
- Co-authors
- Jianguo Hu (3 shared papers)Xingwei Jiang (2 shared papers)Hongtao Zhu (2 shared papers)Huan Wu (1 shared paper)Shuaibin Liu (2 shared papers)Min Yong (1 shared paper)Lina Hu (3 shared papers)Li Liu (1 shared paper)
- Journals
- Cell Death and Disease (1 paper)Journal of Fluorescence (1 paper)Molecular Cancer (1 paper)Immunological Investigations (1 paper)Journal of Experimental & Clinical Cancer Research (1 paper)
- Partner nations
- China
In The Last Decade
Xiaoling Gan
7 papers receiving 392 citations
Peers
Comparison fields: 5 of 49
- Cancer Research 271
- Molecular Biology 339
- Rheumatology 18
- Obstetrics and Gynecology 9
- Epidemiology 39
Countries citing papers authored by Xiaoling Gan
This map shows the geographic impact of Xiaoling Gan'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 Xiaoling Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Gan more than expected).
Fields of papers citing papers by Xiaoling Gan
This network shows the impact of papers produced by Xiaoling Gan. 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 Xiaoling Gan. The network helps show where Xiaoling Gan may publish in the future.
Co-authors
The 23 scholars most cited alongside Xiaoling Gan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 193 | |
| 2 | 2020 | 111 | |
| 3 | 2020 | 55 | |
| 4 | 2018 | 22 | |
| 5 | 2014 | 10 | |
| 6 | 2020 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2025 | 0 | |
| 9 | Intraamniotic administration on placental IL-6 and MMP-9 expressions in rats with intrauterine infection of E. coli | 2008 | 0 |
About Xiaoling Gan
Xiaoling Gan is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Immunology and Reproductive Medicine, having authored 9 papers that have together received 393 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (2 papers), Reproductive System and Pregnancy (2 papers), RNA modifications and cancer (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Metal-Organic Frameworks: Synthesis and Applications (1 paper), Phytoestrogen effects and research (1 paper) and Reproductive Biology and Fertility (1 paper). The work is most often cited by research in Cancer Research (271 citations), Molecular Biology (339 citations), Rheumatology (18 citations), Obstetrics and Gynecology (9 citations) and Epidemiology (39 citations). Xiaoling Gan has collaborated with scholars based in China. Frequent co-authors include Jianguo Hu, Xingwei Jiang, Hongtao Zhu, Huan Wu, Shuaibin Liu, Min Yong, Lina Hu, Li Liu, Lei Zhang and Tinghe Yu. Their work appears in journals such as Cell Death and Disease, Journal of Fluorescence, Molecular Cancer, Immunological Investigations and Journal of Experimental & Clinical Cancer Research.
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.