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 4
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- Breast Cancer Treatment Studies 7
- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 4
- Co-authors
- Qifeng Yang (28 shared papers)Ning Zhang (6 shared papers)Cunzhong Yuan (4 shared papers)Yiran Liang (9 shared papers)Xiaoyan Li (15 shared papers)Yaming Li (5 shared papers)Ying Liu (1 shared paper)Yi Duan (2 shared papers)
- Journals
- PLoS ONE (3 papers)Cell Death and Disease (3 papers)International Journal of Oncology (2 papers)Oncotarget (2 papers)Cancer Science (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoli Kong
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 97
- Cancer Research 374
- Pathology and Forensic Medicine 213
- Oncology 239
- Molecular Biology 498
- Toxicology 16
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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 239 | |
| 2 | 2010 | 117 | |
| 3 | 2023 | 71 | |
| 4 | 2011 | 67 | |
| 5 | 2021 | 62 | |
| 6 | 2011 | 55 | |
| 7 | 2014 | 45 | |
| 8 | 2013 | 43 | |
| 9 | 2023 | 41 | |
| 10 | 2014 | 34 | |
| 11 | 2014 | 31 | |
| 12 | Mammographic features are associated with clinicopathological characteristics in invasive breast cancer. | 2011 | 29 |
| 13 | 2022 | 27 | |
| 14 | 2019 | 26 | |
| 15 | 2022 | 25 | |
| 16 | 2010 | 22 | |
| 17 | 2016 | 22 | |
| 18 | 2012 | 21 | |
| 19 | 2013 | 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 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), Breast Lesions and Carcinomas (6 papers), Cancer Mechanisms and Therapy (5 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (4 papers), Ferroptosis and cancer prognosis (3 papers) and Enzyme Production and Characterization (3 papers). The work is most often cited by research in Cancer Research (374 citations), Pathology and Forensic Medicine (213 citations), Oncology (239 citations), Molecular Biology (498 citations) and Toxicology (16 citations). Xiaoli Kong has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qifeng Yang, Ning Zhang, Cunzhong Yuan, Yiran Liang, Xiaoyan Li, Yaming Li, Ying Liu, Yi Duan, Yuting Sang and Hanwen Zhang. Their work appears in journals such as PLoS ONE, Cell Death and Disease, 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.