Yuan Ma
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
- Insect Science top 5%
- Insect and Pesticide Research
Papers in
- Co-authors
- Xiuhua Guo (9 shared papers)Zhiyuan Wu (3 shared papers)Liming Li (11 shared papers)Liuluan Zhu (4 shared papers)Wei Feng (5 shared papers)Xia Li (3 shared papers)Bo Wang (9 shared papers)Yue Zhang (1 shared paper)
- Journals
- Medicine (4 papers)International Journal of Environmental Research and Public Health (3 papers)PLoS ONE (2 papers)Nutrients (2 papers)Aging and Disease (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yuan Ma
159 papers receiving 2.0k citations
Yuan Ma's Hit Papers
Peers
Comparison fields: 5 of 165
- Neurology 113
- Insect Science 123
- Radiology, Nuclear Medicine and Imaging 198
- Health Information Management 38
- Pulmonary and Respiratory Medicine 216
Countries citing papers authored by Yuan Ma
This map shows the geographic impact of Yuan 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 Yuan Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Ma more than expected).
Fields of papers citing papers by Yuan Ma
This network shows the impact of papers produced by Yuan 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 Yuan Ma. The network helps show where Yuan Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuan 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
Showing the 20 most-cited of 188 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 155 | |
| 2 | 2020 | 122 | |
| 3 | Prevalence of Liver Steatosis and Fibrosis in the General Population and Various High-Risk Populations: A Nationwide Study With 5.7 Million Adults in China Hit paper breakdown → | 2023 | 112 |
| 4 | 2022 | 84 | |
| 5 | 2021 | 62 | |
| 6 | 2018 | 61 | |
| 7 | 2014 | 50 | |
| 8 | 2019 | 47 | |
| 9 | 2018 | 46 | |
| 10 | 2014 | 44 | |
| 11 | 2014 | 43 | |
| 12 | 2014 | 40 | |
| 13 | 2021 | 35 | |
| 14 | 2018 | 35 | |
| 15 | 2019 | 33 | |
| 16 | 2014 | 32 | |
| 17 | 2019 | 32 | |
| 18 | 2019 | 32 | |
| 19 | 2014 | 31 | |
| 20 | 2019 | 31 |
About Yuan Ma
Yuan Ma is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Electrical and Electronic Engineering, Surgery and Pathology and Forensic Medicine, having authored 188 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Photonic Communication Systems (10 papers), Optical Network Technologies (9 papers), Photonic and Optical Devices (5 papers), Spinal Fractures and Fixation Techniques (5 papers), Nutritional Studies and Diet (4 papers), Influenza Virus Research Studies (4 papers), Insect and Pesticide Research (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Neurology (113 citations), Insect Science (123 citations), Radiology, Nuclear Medicine and Imaging (198 citations), Health Information Management (38 citations) and Pulmonary and Respiratory Medicine (216 citations). Yuan Ma has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiuhua Guo, Zhiyuan Wu, Liming Li, Liuluan Zhu, Wei Feng, Xia Li, Bo Wang, Yue Zhang, Sheng Yuan and Jian Huang. Their work appears in journals such as Medicine, International Journal of Environmental Research and Public Health, PLoS ONE, Nutrients and Aging 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.