Xiaoling Weng
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Obstetrics and Gynecology top 10%
Papers in
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- Epigenetics and DNA Methylation 6
- Cancer-related gene regulation 5
- RNA modifications and cancer 4
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- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 4
- Cancer, Hypoxia, and Metabolism 3
- Cancer Genomics and Diagnostics 2
- Co-authors
- Fatao Liu (11 shared papers)Junyi Ye (9 shared papers)Daizhan Zhou (8 shared papers)Yun Liu (11 shared papers)Lin He (6 shared papers)Hong Zhang (4 shared papers)Lidan Hou (5 shared papers)Jianhua Wang (5 shared papers)
- Journals
- Oncogene (3 papers)Clinical Cancer Research (2 papers)Gene (2 papers)British Journal of Cancer (1 paper)Experimental Biology and Medicine (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Xiaoling Weng
32 papers receiving 792 citations
Peers
Comparison fields: 5 of 89
- Cancer Research 215
- Obstetrics and Gynecology 59
- Aging 11
- Oncology 150
- Molecular Biology 388
Countries citing papers authored by Xiaoling Weng
This map shows the geographic impact of Xiaoling Weng'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 Weng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Weng more than expected).
Fields of papers citing papers by Xiaoling Weng
This network shows the impact of papers produced by Xiaoling Weng. 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 Weng. The network helps show where Xiaoling Weng may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling Weng, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 89 | |
| 2 | 2019 | 86 | |
| 3 | 2018 | 66 | |
| 4 | 2021 | 53 | |
| 5 | 2018 | 51 | |
| 6 | 2021 | 48 | |
| 7 | 2015 | 46 | |
| 8 | 2015 | 40 | |
| 9 | 2013 | 36 | |
| 10 | 2014 | 36 | |
| 11 | 2015 | 30 | |
| 12 | 2015 | 21 | |
| 13 | 2017 | 19 | |
| 14 | 2014 | 18 | |
| 15 | 2015 | 18 | |
| 16 | 2021 | 17 | |
| 17 | 2017 | 17 | |
| 18 | 2017 | 16 | |
| 19 | 2022 | 15 | |
| 20 | 2019 | 13 |
About Xiaoling Weng
Xiaoling Weng is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Obstetrics and Gynecology, having authored 32 papers that have together received 799 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Cancer-related molecular mechanisms research (6 papers), Cancer-related gene regulation (5 papers), MicroRNA in disease regulation (4 papers), RNA modifications and cancer (4 papers), Telomeres, Telomerase, and Senescence (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Cancer Research (215 citations), Obstetrics and Gynecology (59 citations), Aging (11 citations), Oncology (150 citations) and Molecular Biology (388 citations). Xiaoling Weng has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Fatao Liu, Junyi Ye, Daizhan Zhou, Yun Liu, Lin He, Hong Zhang, Lidan Hou, Jianhua Wang, Xiangjun Meng and Tianqi Wu. Their work appears in journals such as Oncogene, Clinical Cancer Research, Gene, British Journal of Cancer and Experimental Biology 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.