Xiaoyan Li
Impact in
- Oncology top 2%
- Neutropenia and Cancer Infections
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Oncology 71
- Neutropenia and Cancer Infections 18
- Cancer Immunotherapy and Biomarkers 12
- Cancer Cells and Metastasis 11
- Peptidase Inhibition and Analysis 9
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- Breast Cancer Treatment Studies 10
- Cancer Genomics and Diagnostics 7
- Co-authors
- Qifeng YangNing ZhangXiaoli KongTingting MaXiangnan KongMeena S. MoranGary H. LymanRichard Barron
- Journals
- Journal of Clinical Oncology (5 papers)PLoS ONE (5 papers)Tumor Biology (4 papers)Cancer Science (4 papers)Supportive Care in Cancer (4 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Xiaoyan Li
114 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 130
- Oncology 1.5k
- Cancer Research 744
- Reproductive Medicine 167
- Molecular Biology 1.2k
- Dermatology 145
Countries citing papers authored by Xiaoyan Li
This map shows the geographic impact of Xiaoyan Li'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 Xiaoyan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyan Li more than expected).
Fields of papers citing papers by Xiaoyan Li
This network shows the impact of papers produced by Xiaoyan Li. 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 Xiaoyan Li. The network helps show where Xiaoyan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoyan Li, 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 | 2025 | 2 | |
| 2 | 2025 | 3 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 13 | |
| 5 | 2021 | 8 | |
| 6 | 2021 | 34 | |
| 7 | 2020 | 33 | |
| 8 | 2019 | 65 | |
| 9 | 2017 | 75 | |
| 10 | 2017 | 22 | |
| 11 | 2016 | 24 | |
| 12 | 2016 | 2 | |
| 13 | 2016 | 13 | |
| 14 | 2015 | 15 | |
| 15 | 2014 | 154 | |
| 16 | 2014 | 17 | |
| 17 | 2014 | 18 | |
| 18 | 2013 | 8 | |
| 19 | 2013 | 14 | |
| 20 | 2012 | 35 |
About Xiaoyan Li
Xiaoyan Li is a scholar working on Oncology, Cancer Research, Reproductive Medicine, Pathology and Forensic Medicine and Dermatology, having authored 122 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neutropenia and Cancer Infections (18 papers), Cancer Immunotherapy and Biomarkers (12 papers), Cancer Cells and Metastasis (11 papers), Blood disorders and treatments (10 papers), Breast Cancer Treatment Studies (10 papers), Breast Lesions and Carcinomas (10 papers), Peptidase Inhibition and Analysis (9 papers) and Cancer Genomics and Diagnostics (7 papers). The work is most often cited by research in Oncology (1.5k citations), Cancer Research (744 citations), Reproductive Medicine (167 citations), Molecular Biology (1.2k citations) and Dermatology (145 citations). Xiaoyan Li has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Qifeng Yang, Ning Zhang, Xiaoli Kong, Tingting Ma, Xiangnan Kong, Meena S. Moran, Gary H. Lyman, Richard Barron, Guohong Hu and Derek Weycker. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE, Tumor Biology, Cancer Science and Supportive Care in Cancer.
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.