Xiaoli Yu
Impact in
- Cancer Research top 1%
- Breast Cancer Treatment Studies
- MicroRNA in disease regulation
- Radiation top 1%
- Advanced Radiotherapy Techniques
Papers in
-
- Breast Cancer Treatment Studies 44
- Oncology 41
- Co-authors
- Xiaomao Guo (57 shared papers)S. Zhou (20 shared papers)Zhaozhi Yang (45 shared papers)Lawrence B. Marks (20 shared papers)Donna Hollis (16 shared papers)Terence Z. Wong (10 shared papers)Michael A. Blazing (11 shared papers)Patricia H. Hardenbergh (10 shared papers)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (17 papers)Oncotarget (6 papers)Cancer Medicine (5 papers)Radiation Oncology (5 papers)PLoS ONE (4 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Xiaoli Yu
148 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 132
- Cancer Research 1.1k
- Radiation 503
- Radiology, Nuclear Medicine and Imaging 725
- Oncology 840
- Pulmonary and Respiratory Medicine 769
Countries citing papers authored by Xiaoli Yu
This map shows the geographic impact of Xiaoli Yu'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 Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Yu more than expected).
Fields of papers citing papers by Xiaoli Yu
This network shows the impact of papers produced by Xiaoli Yu. 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 Yu. The network helps show where Xiaoli Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoli Yu, 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 157 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 337 | |
| 2 | 2015 | 211 | |
| 3 | 2012 | 149 | |
| 4 | 2005 | 121 | |
| 5 | 2007 | 113 | |
| 6 | 2013 | 111 | |
| 7 | 2022 | 97 | |
| 8 | 2011 | 81 | |
| 9 | 2014 | 81 | |
| 10 | 1997 | 80 | |
| 11 | 2018 | 80 | |
| 12 | 2017 | 71 | |
| 13 | 2020 | 65 | |
| 14 | 2016 | 59 | |
| 15 | 2006 | 55 | |
| 16 | 2017 | 55 | |
| 17 | 2020 | 51 | |
| 18 | 2015 | 50 | |
| 19 | 2015 | 46 | |
| 20 | 2003 | 45 |
About Xiaoli Yu
Xiaoli Yu is a scholar working on Cancer Research, Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 157 papers that have together received 3.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (44 papers), Breast Lesions and Carcinomas (24 papers), Advanced Radiotherapy Techniques (21 papers), Medical Imaging Techniques and Applications (16 papers), Breast Implant and Reconstruction (12 papers), Advanced Wireless Communication Techniques (11 papers), Wireless Communication Networks Research (10 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). The work is most often cited by research in Cancer Research (1.1k citations), Radiation (503 citations), Radiology, Nuclear Medicine and Imaging (725 citations), Oncology (840 citations) and Pulmonary and Respiratory Medicine (769 citations). Xiaoli Yu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xiaomao Guo, S. Zhou, Zhaozhi Yang, Lawrence B. Marks, Donna Hollis, Terence Z. Wong, Michael A. Blazing, Patricia H. Hardenbergh, A. Tisch and Robert G. Prosnitz. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Oncotarget, Cancer Medicine, Radiation Oncology and PLoS ONE.
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.