Nicholas Stabo
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
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- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Radiomics and Machine Learning in Medical Imaging 4
- MRI in cancer diagnosis 2
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- Renal cell carcinoma treatment 2
- Co-authors
- Meghan G. Lubner (6 shared papers)Perry J. Pickhardt (4 shared papers)Alejandro Muñoz del Río (4 shared papers)Chihwa Song (2 shared papers)Sam Joseph Lubner (2 shared papers)Richard B. Halberg (1 shared paper)E. Jason Abel (2 shared papers)Rodney A. Welch (1 shared paper)
- Journals
- American Journal of Roentgenology (2 papers)Journal of Bacteriology (1 paper)The Journal of Urology (1 paper)Journal of Computer Assisted Tomography (1 paper)Clinical Colorectal Cancer (1 paper)
- Partner nations
- United States
In The Last Decade
Nicholas Stabo
7 papers receiving 392 citations
Peers
Comparison fields: 5 of 51
- Radiology, Nuclear Medicine and Imaging 199
- Hepatology 38
- Pulmonary and Respiratory Medicine 80
- Oncology 66
- Molecular Medicine 9
Countries citing papers authored by Nicholas Stabo
This map shows the geographic impact of Nicholas Stabo'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 Nicholas Stabo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Stabo more than expected).
Fields of papers citing papers by Nicholas Stabo
This network shows the impact of papers produced by Nicholas Stabo. 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 Nicholas Stabo. The network helps show where Nicholas Stabo may publish in the future.
Co-authors
The 19 scholars most cited alongside Nicholas Stabo, 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 | 2015 | 228 | |
| 2 | 2016 | 115 | |
| 3 | 2013 | 34 | |
| 4 | 2017 | 10 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 2 | |
| 7 | 2015 | 1 | |
| 8 | 2023 | 0 |
About Nicholas Stabo
Nicholas Stabo is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Molecular Biology and Genetics, having authored 8 papers that have together received 393 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Renal cell carcinoma treatment (2 papers), MRI in cancer diagnosis (2 papers), Bone and Joint Diseases (1 paper), Transplantation: Methods and Outcomes (1 paper), DNA Repair Mechanisms (1 paper), Biochemical and Molecular Research (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (199 citations), Hepatology (38 citations), Pulmonary and Respiratory Medicine (80 citations), Oncology (66 citations) and Molecular Medicine (9 citations). Nicholas Stabo has collaborated with scholars based in United States. Frequent co-authors include Meghan G. Lubner, Perry J. Pickhardt, Alejandro Muñoz del Río, Chihwa Song, Sam Joseph Lubner, Richard B. Halberg, E. Jason Abel, Rodney A. Welch, John W. Garrett and Joshua L. Hermsen. Their work appears in journals such as American Journal of Roentgenology, Journal of Bacteriology, The Journal of Urology, Journal of Computer Assisted Tomography and Clinical Colorectal Cancer.
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.