Xiaoli Sun
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Hepatology top 5%
Papers in
-
- Liver Disease Diagnosis and Treatment 5
- Co-authors
- Peng Zhao (6 shared papers)Zhongji Liao (4 shared papers)Alan R. Saltiel (4 shared papers)Ruijiang Li (6 shared papers)Jia Wu (6 shared papers)Guohong Cao (3 shared papers)Allison W. Kurian (3 shared papers)Joseph L. Witztum (5 shared papers)
- Journals
- JCI Insight (3 papers)Cell Death and Disease (3 papers)Cell Death and Differentiation (2 papers)Radiology (2 papers)Diagnostic Pathology (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaoli Sun
45 papers receiving 1.6k citations
Xiaoli Sun's Hit Papers
Peers
Comparison fields: 5 of 102
- Radiology, Nuclear Medicine and Imaging 307
- Hepatology 100
- Cancer Research 162
- Epidemiology 352
- Immunology 212
Countries citing papers authored by Xiaoli Sun
This map shows the geographic impact of Xiaoli Sun'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 Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Sun more than expected).
Fields of papers citing papers by Xiaoli Sun
This network shows the impact of papers produced by Xiaoli Sun. 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 Sun. The network helps show where Xiaoli Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoli Sun, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An AMPK–caspase-6 axis controls liver damage in nonalcoholic steatohepatitis Hit paper breakdown → | 2020 | 244 |
| 2 | 2018 | 214 | |
| 3 | 2019 | 159 | |
| 4 | 2018 | 144 | |
| 5 | 2017 | 99 | |
| 6 | 2016 | 86 | |
| 7 | 2017 | 79 | |
| 8 | 2017 | 74 | |
| 9 | 2018 | 41 | |
| 10 | 2019 | 36 | |
| 11 | 2018 | 32 | |
| 12 | 2016 | 30 | |
| 13 | 2021 | 23 | |
| 14 | 2021 | 23 | |
| 15 | 2022 | 22 | |
| 16 | 2021 | 21 | |
| 17 | 2018 | 20 | |
| 18 | 2022 | 20 | |
| 19 | 2017 | 19 | |
| 20 | 2018 | 17 |
About Xiaoli Sun
Xiaoli Sun is a scholar working on Molecular Biology, Epidemiology, Surgery, Nephrology and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Renal Diseases and Glomerulopathies (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Biomedical Research and Pathophysiology (2 papers), MRI in cancer diagnosis (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (307 citations), Hepatology (100 citations), Cancer Research (162 citations), Epidemiology (352 citations) and Immunology (212 citations). Xiaoli Sun has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Peng Zhao, Zhongji Liao, Alan R. Saltiel, Ruijiang Li, Jia Wu, Guohong Cao, Allison W. Kurian, Joseph L. Witztum, Debra M. Ikeda and Daniel L. Rubin. Their work appears in journals such as JCI Insight, Cell Death and Disease, Cell Death and Differentiation, Radiology and Diagnostic Pathology.
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.