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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- Circular RNAs in diseases 1
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- Reproductive System and Pregnancy 2
- Co-authors
- Jianguo Hu (3 shared papers)Hongtao Zhu (2 shared papers)Xingwei Jiang (2 shared papers)Huan Wu (1 shared paper)Min Yong (1 shared paper)Lina Hu (3 shared papers)Li Liu (1 shared paper)Xinru Deng (1 shared paper)
- Journals
- Molecular Cancer (1 paper)Journal of Experimental & Clinical Cancer Research (1 paper)Immunological Investigations (1 paper)Journal of Fluorescence (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- China
In The Last Decade
Xiaoling Gan
6 papers receiving 343 citations
Peers
Comparison fields: 5 of 41
- Cancer Research 193
- Molecular Biology 283
- Obstetrics and Gynecology 9
- Epidemiology 35
- Oncology 23
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 24 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 | 196 | |
| 2 | 2020 | 113 | |
| 3 | 2018 | 24 | |
| 4 | 2014 | 10 | |
| 5 | 2023 | 1 | |
| 6 | 2020 | 1 | |
| 7 | Intraamniotic administration on placental IL-6 and MMP-9 expressions in rats with intrauterine infection of E. coli | 2008 | 0 |
| 8 | 2025 | 0 | |
| 9 | [Tinnitus assessment by THI and VAS in patients with sudden sensorineural hearing loss]. | 2014 | 0 |
About Xiaoling Gan
Xiaoling Gan is a scholar working on Molecular Biology, Immunology, Reproductive Medicine, Oncology and Epidemiology, having authored 9 papers that have together received 345 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Pregnancy and preeclampsia studies (1 paper), Circular RNAs in diseases (1 paper), Sulfur Compounds in Biology (1 paper), Ovarian function and disorders (1 paper), Reproductive Biology and Fertility (1 paper) and Metal-Organic Frameworks: Synthesis and Applications (1 paper). The work is most often cited by research in Cancer Research (193 citations), Molecular Biology (283 citations), Obstetrics and Gynecology (9 citations), Epidemiology (35 citations) and Oncology (23 citations). Xiaoling Gan has collaborated with scholars based in China. Frequent co-authors include Jianguo Hu, Hongtao Zhu, Xingwei Jiang, Huan Wu, Min Yong, Lina Hu, Li Liu, Xinru Deng, Lei Zhang and Qin Zhou. Their work appears in journals such as Molecular Cancer, Journal of Experimental & Clinical Cancer Research, Immunological Investigations, Journal of Fluorescence and Cell Death and Disease.
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.