Ling Xi
Impact in
- Obstetrics and Gynecology top 10%
- Endometrial and Cervical Cancer Treatments
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- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 12
- Colorectal Cancer Surgical Treatments 3
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- Angiogenesis and VEGF in Cancer 3
- Co-authors
- Ding Ma (14 shared papers)Gang Chen (7 shared papers)Ying Zhou (6 shared papers)Xiangyi Ma (6 shared papers)Shixuan Wang (6 shared papers)Fei Li (5 shared papers)Peng Wu (5 shared papers)Ding Ma (3 shared papers)
- Journals
- Oncology Reports (2 papers)Journal of Cancer (1 paper)Clinical Cancer Research (1 paper)Scientific Reports (1 paper)Human Gene Therapy (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Ling Xi
35 papers receiving 582 citations
Peers
Comparison fields: 5 of 82
- Obstetrics and Gynecology 66
- Oncology 204
- Reproductive Medicine 62
- Cancer Research 68
- Immunology 95
Countries citing papers authored by Ling Xi
This map shows the geographic impact of Ling Xi'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 Ling Xi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Xi more than expected).
Fields of papers citing papers by Ling Xi
This network shows the impact of papers produced by Ling Xi. 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 Ling Xi. The network helps show where Ling Xi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Xi, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 73 | |
| 2 | 2018 | 48 | |
| 3 | 2019 | 46 | |
| 4 | 2020 | 45 | |
| 5 | 2017 | 36 | |
| 6 | 2018 | 31 | |
| 7 | 2012 | 30 | |
| 8 | 2005 | 26 | |
| 9 | 2019 | 22 | |
| 10 | Antisense-Snail transfer inhibits tumor metastasis by inducing E-cadherin expression. | 2008 | 19 |
| 11 | 2011 | 18 | |
| 12 | 2021 | 17 | |
| 13 | 2019 | 16 | |
| 14 | 2023 | 15 | |
| 15 | mTOR inhibition overcomes primary and acquired resistance to Wee1 inhibition by augmenting replication stress in epithelial ovarian cancers. | 2020 | 14 |
| 16 | 2019 | 14 | |
| 17 | 2019 | 13 | |
| 18 | 2015 | 13 | |
| 19 | 2021 | 13 | |
| 20 | 2018 | 11 |
About Ling Xi
Ling Xi is a scholar working on Oncology, Molecular Biology, Surgery, Epidemiology and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 588 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (4 papers), Endometrial and Cervical Cancer Treatments (3 papers), Virus-based gene therapy research (3 papers), Colorectal Cancer Surgical Treatments (3 papers), Telomeres, Telomerase, and Senescence (3 papers), Inflammatory mediators and NSAID effects (3 papers), Angiogenesis and VEGF in Cancer (3 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Obstetrics and Gynecology (66 citations), Oncology (204 citations), Reproductive Medicine (62 citations), Cancer Research (68 citations) and Immunology (95 citations). Ling Xi has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ding Ma, Gang Chen, Ying Zhou, Xiangyi Ma, Shixuan Wang, Fei Li, Peng Wu, Ding Ma, Rui Wei and Junbo Hu. Their work appears in journals such as Oncology Reports, Journal of Cancer, Clinical Cancer Research, Scientific Reports and Human Gene Therapy.
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.