Xiaoli Kong
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Breast Cancer Treatment Studies
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- Cancer Mechanisms and Therapy
Papers in
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- Circular RNAs in diseases 3
- RNA modifications and cancer 3
-
- Breast Cancer Treatment Studies 10
- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 4
- Co-authors
- Qifeng Yang (27 shared papers)Ning Zhang (6 shared papers)Yan Shi (5 shared papers)Cunzhong Yuan (4 shared papers)Yiran Liang (8 shared papers)Xiaoyan Li (16 shared papers)Yaming Li (5 shared papers)Yuting Sang (2 shared papers)
- Journals
- Cell Death and Disease (3 papers)PLoS ONE (3 papers)International Journal of Oncology (2 papers)Oncotarget (2 papers)Cancer Science (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Xiaoli Kong
38 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Cancer Research 444
- Pathology and Forensic Medicine 240
- Oncology 286
- Molecular Biology 589
- Toxicology 18
Countries citing papers authored by Xiaoli Kong
This map shows the geographic impact of Xiaoli Kong'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 Xiaoli Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Kong more than expected).
Fields of papers citing papers by Xiaoli Kong
This network shows the impact of papers produced by Xiaoli Kong. 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 Xiaoli Kong. The network helps show where Xiaoli Kong may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoli Kong, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 233 | |
| 2 | 2010 | 117 | |
| 3 | 2011 | 66 | |
| 4 | 2023 | 62 | |
| 5 | 2021 | 57 | |
| 6 | 2011 | 54 | |
| 7 | 2014 | 44 | |
| 8 | 2013 | 43 | |
| 9 | 2023 | 37 | |
| 10 | 2014 | 35 | |
| 11 | 2014 | 29 | |
| 12 | Mammographic features are associated with clinicopathological characteristics in invasive breast cancer. | 2011 | 29 |
| 13 | 2019 | 26 | |
| 14 | 2022 | 25 | |
| 15 | 2022 | 22 | |
| 16 | 2010 | 22 | |
| 17 | 2016 | 22 | |
| 18 | 2013 | 21 | |
| 19 | 2012 | 20 | |
| 20 | 2019 | 18 |
About Xiaoli Kong
Xiaoli Kong is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Oncology and Surgery, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (11 papers), Breast Cancer Treatment Studies (10 papers), Cancer Mechanisms and Therapy (5 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers), Enzyme Production and Characterization (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cancer Research (444 citations), Pathology and Forensic Medicine (240 citations), Oncology (286 citations), Molecular Biology (589 citations) and Toxicology (18 citations). Xiaoli Kong has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Qifeng Yang, Ning Zhang, Yan Shi, Cunzhong Yuan, Yiran Liang, Xiaoyan Li, Yaming Li, Yuting Sang, Yi Duan and Ying Liu. Their work appears in journals such as Cell Death and Disease, PLoS ONE, International Journal of Oncology, Oncotarget and Cancer Science.
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.