Sean M. Siebert
- Biomedical Engineering top 10%
- Electrical and Electronic Engineering
- Biomaterials top 5%
- Electronic, Optical and Magnetic Materials
- Polymers and Plastics
- Co-authors
- David L. KaplanMark A. BrenckleFiorenzo G. OmenettoRichard D. AverittMengkun LiuHu TaoManu Sebastian MannoorJingdi Zhang
- Topics
- Radiomics and Machine Learning in Medical Imaging (4 papers)Silk-based biomaterials and applications (4 papers)Thyroid Cancer Diagnosis and Treatment (4 papers)
- Partner nations
- United StatesIsraelSouth Korea
In The Last Decade
Sean M. Siebert
12 papers receiving 731 citations
Peers
Comparison fields: 5 of 96
- Biomedical Engineering 419
- Electrical and Electronic Engineering 256
- Biomaterials 204
- Electronic, Optical and Magnetic Materials 140
- Polymers and Plastics 92
Countries citing papers authored by Sean M. Siebert
This map shows the geographic impact of Sean M. Siebert'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 Sean M. Siebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean M. Siebert more than expected).
Fields of papers citing papers by Sean M. Siebert
This network shows the impact of papers produced by Sean M. Siebert. 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 Sean M. Siebert. The network helps show where Sean M. Siebert may publish in the future.
Co-authorship network of co-authors of Sean M. Siebert
This figure shows the co-authorship network connecting the top 25 collaborators of Sean M. Siebert. A scholar is included among the top collaborators of Sean M. Siebert 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 Sean M. Siebert. Sean M. Siebert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 57 | |
| 2 | 7 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | Toward Automated Pre-Biopsy Thyroid Cancer Risk Estimation in Ultrasound. | 2 |
| 7 | 326 | |
| 8 | 2 | |
| 9 | 98 | |
| 10 | 2 | |
| 11 | 215 | |
| 12 | 21 |
About Sean M. Siebert
Sean M. Siebert is a scholar working on Biomaterials, Endocrinology, Diabetes and Metabolism and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 746 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Silk-based biomaterials and applications (4 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Biomaterials (204 citations), Biomedical Engineering (419 citations) and Health Informatics (12 citations). Sean M. Siebert has collaborated with scholars based in United States, Israel and South Korea. Frequent co-authors include David L. Kaplan, Mark A. Brenckle, Fiorenzo G. Omenetto, Richard D. Averitt, Mengkun Liu, Hu Tao, Manu Sebastian Mannoor, Jingdi Zhang, John A. Rogers and Michael C. McAlpine. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Applied Physics Letters.
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.