Mingming Xiao
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in ⓘ
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- DNA Repair Mechanisms 7
- RNA modifications and cancer 6
- RNA Research and Splicing 4
- Epigenetics and DNA Methylation 4
- Ubiquitin and proteasome pathways 4
- Oncology 11
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Bo-Kyeong Kang (1 shared paper)Jingyi Yang (1 shared paper)Xianjun Zeng (1 shared paper)Shuai Wang (1 shared paper)Mengjiao Cai (1 shared paper)Yaodong Li (1 shared paper)Jia Guo (1 shared paper)Bo Xu (1 shared paper)
- Journals
- Journal of Proteome Research (2 papers)Gut (2 papers)International Journal of Biological Sciences (2 papers)Chemical Engineering Journal (2 papers)Cell Death and Disease (2 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Mingming Xiao
44 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Health Informatics 140
- Radiology, Nuclear Medicine and Imaging 661
- Cancer Research 315
- Artificial Intelligence 420
- Health Information Management 36
Countries citing papers authored by Mingming Xiao
This map shows the geographic impact of Mingming Xiao'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 Mingming Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingming Xiao more than expected).
Fields of papers citing papers by Mingming Xiao
This network shows the impact of papers produced by Mingming Xiao. 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 Mingming Xiao. The network helps show where Mingming Xiao may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingming Xiao, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19) Hit paper breakdown → | 2021 | 699 |
| 2 | 2020 | 153 | |
| 3 | 2017 | 147 | |
| 4 | 2022 | 50 | |
| 5 | 2022 | 35 | |
| 6 | 2014 | 35 | |
| 7 | 2011 | 34 | |
| 8 | 2020 | 30 | |
| 9 | 2016 | 28 | |
| 10 | 2017 | 28 | |
| 11 | 2014 | 28 | |
| 12 | 2015 | 23 | |
| 13 | 2017 | 20 | |
| 14 | 2024 | 20 | |
| 15 | 2020 | 19 | |
| 16 | 2014 | 13 | |
| 17 | 2021 | 12 | |
| 18 | 2020 | 12 | |
| 19 | 2025 | 11 | |
| 20 | 2022 | 11 |
About Mingming Xiao
Mingming Xiao is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Biomedical Engineering, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), RNA modifications and cancer (6 papers), RNA Research and Splicing (4 papers), Epigenetics and DNA Methylation (4 papers), Ferroptosis and cancer prognosis (4 papers), Ubiquitin and proteasome pathways (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Health Informatics (140 citations), Radiology, Nuclear Medicine and Imaging (661 citations), Cancer Research (315 citations), Artificial Intelligence (420 citations) and Health Information Management (36 citations). Mingming Xiao has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Bo-Kyeong Kang, Jingyi Yang, Xianjun Zeng, Shuai Wang, Mengjiao Cai, Yaodong Li, Jia Guo, Bo Xu, Xiangfei Meng and Jinlu Ma. Their work appears in journals such as Journal of Proteome Research, Gut, International Journal of Biological Sciences, Chemical Engineering Journal and Cell Death and Disease.
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.