Xiaoming Su
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Health Informatics top 10%
Papers in ⓘ
-
- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- Weiwei Liu (1 shared paper)Guoli Li (1 shared paper)Li Liao (1 shared paper)Yi Shuai (1 shared paper)Yan Jin (1 shared paper)Hong Zhou (1 shared paper)Guozhen Guo (2 shared papers)Jun-Ye Liu (2 shared papers)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (3 papers)Natural Product Communications (2 papers)Journal of Radiation Research (2 papers)JAMA Network Open (1 paper)Journal of the American Heart Association (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Xiaoming Su
44 papers receiving 740 citations
Peers
Comparison fields: 5 of 124
- Cancer Research 198
- Health Informatics 12
- Radiology, Nuclear Medicine and Imaging 129
- Oncology 140
- Genetics 52
Countries citing papers authored by Xiaoming Su
This map shows the geographic impact of Xiaoming Su'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 Xiaoming Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoming Su more than expected).
Fields of papers citing papers by Xiaoming Su
This network shows the impact of papers produced by Xiaoming Su. 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 Xiaoming Su. The network helps show where Xiaoming Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoming Su, 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 | 2020 | 138 | |
| 2 | 2011 | 123 | |
| 3 | 2015 | 101 | |
| 4 | 2020 | 54 | |
| 5 | 2017 | 49 | |
| 6 | 2008 | 27 | |
| 7 | 2016 | 18 | |
| 8 | 2010 | 17 | |
| 9 | 2023 | 16 | |
| 10 | 2010 | 15 | |
| 11 | Successful treatment of recurrent Kimura's disease with radiotherapy: a case report. | 2014 | 13 |
| 12 | 2010 | 12 | |
| 13 | 2019 | 11 | |
| 14 | 2018 | 11 | |
| 15 | 2020 | 11 | |
| 16 | 2021 | 10 | |
| 17 | 2023 | 9 | |
| 18 | 2024 | 9 | |
| 19 | 2024 | 8 | |
| 20 | 2020 | 8 |
About Xiaoming Su
Xiaoming Su is a scholar working on Cancer Research, Process Chemistry and Technology, Biophysics, Clinical Biochemistry and Molecular Biology, having authored 47 papers that have together received 748 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Effects of Radiation Exposure (3 papers), Cardiac Imaging and Diagnostics (2 papers), Cancer-related Molecular Pathways (2 papers), DNA Repair Mechanisms (2 papers), RNA modifications and cancer (2 papers), Cancer-related gene regulation (2 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Cancer Research (198 citations), Health Informatics (12 citations), Radiology, Nuclear Medicine and Imaging (129 citations), Oncology (140 citations) and Genetics (52 citations). Xiaoming Su has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Weiwei Liu, Guoli Li, Li Liao, Yi Shuai, Yan Jin, Hong Zhou, Guozhen Guo, Jun-Ye Liu, Yuqiao Xu and Huawei Zhang. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Natural Product Communications, Journal of Radiation Research, JAMA Network Open and Journal of the American Heart Association.
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.