Buyun Ma
- Biomedical Engineering
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Materials Chemistry
- Surgery
- Co-authors
- Zhiyong QianXiawei WeiYanpeng JiaJingqiang ZhuWanjun ZhaoLijuan ChenTaijin WangYushuang He
- Topics
- Thyroid Cancer Diagnosis and Treatment (20 papers)Head and Neck Anomalies (8 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)
- Journals
- Advanced Functional MaterialsThe Journal of Clinical Endocrinology & MetabolismJournal of Medicinal Chemistry
- Partner nations
- ChinaUnited States
In The Last Decade
Buyun Ma
36 papers receiving 754 citations
Peers
Comparison fields: 5 of 104
- Biomedical Engineering 184
- Molecular Biology 166
- Endocrinology, Diabetes and Metabolism 139
- Materials Chemistry 131
- Surgery 121
Countries citing papers authored by Buyun Ma
This map shows the geographic impact of Buyun 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 Buyun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Buyun Ma more than expected).
Fields of papers citing papers by Buyun Ma
This network shows the impact of papers produced by Buyun 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 Buyun Ma. The network helps show where Buyun Ma may publish in the future.
Co-authorship network of co-authors of Buyun Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Buyun Ma. A scholar is included among the top collaborators of Buyun Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Buyun Ma. Buyun Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 12 | |
| 12 | 16 | |
| 13 | 6 | |
| 14 | [The perfusion pattern of lymphadenopathy in contrast-enhanced ultrasonograph. under different reference conditions ]. | 1 |
| 15 | 11 | |
| 16 | 17 | |
| 17 | [Related factors of central lymph node metastasis in papillary thyroid carcinoma]. | 1 |
| 18 | 27 | |
| 19 | 5 | |
| 20 | 64 |
About Buyun Ma
Buyun Ma is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Reproductive Medicine, having authored 39 papers that have together received 763 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (20 papers), Head and Neck Anomalies (8 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Health Informatics (24 citations), Biomaterials (112 citations) and Endocrinology, Diabetes and Metabolism (139 citations). Buyun Ma has collaborated with scholars based in China and United States. Frequent co-authors include Zhiyong Qian, Xiawei Wei, Yanpeng Jia, Jingqiang Zhu, Wanjun Zhao, Lijuan Chen, Taijin Wang, Yushuang He, Hong Zhu and Jinrong Peng. Their work appears in journals such as Advanced Functional Materials, The Journal of Clinical Endocrinology & Metabolism and Journal of Medicinal Chemistry.
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.