Tyler M. Seibert
- Genetics top 1%
- Glioma Diagnosis and Treatment 31
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- MRI in cancer diagnosis 28
- Advanced Neuroimaging Techniques and Applications 22
- Radiomics and Machine Learning in Medical Imaging 15
- Advanced MRI Techniques and Applications 14
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- Prostate Cancer Diagnosis and Treatment 35
- Prostate Cancer Treatment and Research 27
- Brain Metastases and Treatment 16
- Cognitive Neuroscience top 5%
- Radiation top 5%
- Co-authors
- Roshan KarunamuniJona A. Hattangadi‐GluthCarrie R. McDonaldNikdokht FaridAnders M. DaleNathan S. WhiteVitali MoiseenkoJoshua Kuperman
- Journals
- International Journal of Radiation Oncology*Biology*Physics (18 papers)Radiotherapy and Oncology (6 papers)Journal of Clinical Oncology (6 papers)
- Partner nations
- United StatesNorwayUnited Kingdom
In The Last Decade
Tyler M. Seibert
90 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 99
- Genetics 607
- Radiology, Nuclear Medicine and Imaging 678
- Pulmonary and Respiratory Medicine 671
- Cognitive Neuroscience 379
- Radiation 105
Countries citing papers authored by Tyler M. Seibert
This map shows the geographic impact of Tyler M. Seibert'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 Tyler M. Seibert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler M. Seibert more than expected).
Fields of papers citing papers by Tyler M. Seibert
This network shows the impact of papers produced by Tyler M. Seibert. 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 Tyler M. Seibert. The network helps show where Tyler M. Seibert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tyler M. Seibert, 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 | 2024 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 22 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 11 | |
| 13 | 2021 | 14 | |
| 14 | 2021 | 14 | |
| 15 | 2020 | 15 | |
| 16 | 2020 | 19 | |
| 17 | 2019 | 11 | |
| 18 | 2019 | 34 | |
| 19 | 2018 | 17 | |
| 20 | 2017 | 13 |
About Tyler M. Seibert
Tyler M. Seibert is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 104 papers that have together received 1.7k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (35 papers), Glioma Diagnosis and Treatment (31 papers), MRI in cancer diagnosis (28 papers), Prostate Cancer Treatment and Research (27 papers), Advanced Neuroimaging Techniques and Applications (22 papers), Brain Metastases and Treatment (16 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Advanced MRI Techniques and Applications (14 papers). The work is most often cited by research in Genetics (607 citations), Radiology, Nuclear Medicine and Imaging (678 citations) and Pulmonary and Respiratory Medicine (671 citations). Tyler M. Seibert has collaborated with scholars based in United States, Norway and United Kingdom. Frequent co-authors include Roshan Karunamuni, Jona A. Hattangadi‐Gluth, Carrie R. McDonald, Nikdokht Farid, Anders M. Dale, Nathan S. White, Vitali Moiseenko, Joshua Kuperman, Hauke Bartsch and James B. Brewer. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Radiotherapy and Oncology, Journal of Clinical Oncology, Journal of Magnetic Resonance Imaging and JAMA Network Open.
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.