Xi Ma
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 3
- COVID-19 diagnosis using AI 2
- MRI in cancer diagnosis 1
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- COVID-19 Clinical Research Studies 2
- Journals
- Frontiers in Oncology (1 paper)Current Neurovascular Research (1 paper)Journal of Infection (1 paper)Current Medical Imaging Formerly Current Medical Imaging Reviews (2 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- China
In The Last Decade
Xi Ma
5 papers receiving 389 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Infectious Diseases 275
- Neurology 132
- Critical Care and Intensive Care Medicine 36
- Radiology, Nuclear Medicine and Imaging 159
- Oncology 82
Countries citing papers authored by Xi Ma
This map shows the geographic impact of Xi Ma'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 Xi Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xi Ma more than expected).
Fields of papers citing papers by Xi Ma
This network shows the impact of papers produced by Xi Ma. 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 Xi Ma. The network helps show where Xi Ma may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Xi Ma, 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 | Retrospective Analysis of the Value of Enhanced CT Radiomics Analysis in the Differential Diagnosis Between Pancreatic Cancer and Chronic Pancreatitis | 2022 | 14 |
| 2 | 2022 | 0 | |
| 3 | 2021 | 12 | |
| 4 | 2021 | 0 | |
| 5 | 2021 | 1 | |
| 6 | Clinical and computed tomographic imaging features of novel coronavirus pneumonia caused by SARS-CoV-2 Hit paper breakdown → | 2020 | 372 |
| 7 | Procoagulant effects of thrombolytic therapy in acute myocardial infarction. | 2002 | 2 |
About Xi Ma
Xi Ma is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Hematology, Neurology and Pulmonary and Respiratory Medicine, having authored 7 papers that have together received 401 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 Clinical Research Studies (2 papers), COVID-19 diagnosis using AI (2 papers), Pancreatic and Hepatic Oncology Research (1 paper), MRI in cancer diagnosis (1 paper), Neonatal and fetal brain pathology (1 paper), Renal cell carcinoma treatment (1 paper) and Fetal and Pediatric Neurological Disorders (1 paper). The work is most often cited by research in Infectious Diseases (275 citations), Neurology (132 citations), Critical Care and Intensive Care Medicine (36 citations), Radiology, Nuclear Medicine and Imaging (159 citations) and Oncology (82 citations). Xi Ma has collaborated with scholars based in China. Frequent co-authors include Bu‐Lang Gao, Yuhuan Xu, Li Dong, Jianzeng Zhang, Hongjie Zhang, Jinghui Dong, Xiaoping Yin, Weimin An, Jialiang Ren and Luyao Ma. Their work appears in journals such as Frontiers in Oncology, Current Neurovascular Research, Journal of Infection, Current Medical Imaging Formerly Current Medical Imaging Reviews and SHILAP Revista de lepidopterología.
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.