S. Asbell
Impact in
- Genetics top 1%
- Glioma Diagnosis and Treatment
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- Brain Metastases and Treatment
Papers in
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- Lung Cancer Diagnosis and Treatment 4
- Lung Cancer Treatments and Mutations 2
- Medical Imaging and Pathology Studies 1
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- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- J. Stuart Nelson (2 shared papers)Diana F. Nelson (1 shared paper)Alan S. Weinstein (1 shared paper)Robert E. Krisch (1 shared paper)W.J. Curran (1 shared paper)John Horton (1 shared paper)Marvin Rotman (2 shared papers)Charles Scott (2 shared papers)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (3 papers)JNCI Journal of the National Cancer Institute (2 papers)Journal of Neuropathology & Experimental Neurology (1 paper)Journal of Radiation Oncology (1 paper)Cureus (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
S. Asbell
7 papers receiving 1.0k citations
S. Asbell's Hit Papers
Peers
Comparison fields: 5 of 61
- Genetics 878
- Pulmonary and Respiratory Medicine 505
- Radiology, Nuclear Medicine and Imaging 297
- Cancer Research 151
- Radiation 83
Countries citing papers authored by S. Asbell
This map shows the geographic impact of S. Asbell'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 S. Asbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Asbell more than expected).
Fields of papers citing papers by S. Asbell
This network shows the impact of papers produced by S. Asbell. 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 S. Asbell. The network helps show where S. Asbell may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Asbell, 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 | Recursive Partitioning Analysis of Prognostic Factors in Three Radiation Therapy Oncology Group Malignant Glioma Trials Hit paper breakdown → | 1993 | 1026 |
| 2 | 1992 | 25 | |
| 3 | 1992 | 7 | |
| 4 | 2012 | 2 | |
| 5 | 1993 | 1 | |
| 6 | 2012 | 1 | |
| 7 | 1996 | 1 | |
| 8 | 1984 | 0 |
About S. Asbell
S. Asbell is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology, Genetics and Ophthalmology, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (4 papers), Lung Cancer Treatments and Mutations (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Soft tissue tumor case studies (1 paper), Meningioma and schwannoma management (1 paper), Advanced Radiotherapy Techniques (1 paper), Medical Imaging and Pathology Studies (1 paper) and Nonmelanoma Skin Cancer Studies (1 paper). The work is most often cited by research in Genetics (878 citations), Pulmonary and Respiratory Medicine (505 citations), Radiology, Nuclear Medicine and Imaging (297 citations), Cancer Research (151 citations) and Radiation (83 citations). S. Asbell has collaborated with scholars based in United States and Canada. Frequent co-authors include J. Stuart Nelson, Diana F. Nelson, Alan S. Weinstein, Robert E. Krisch, W.J. Curran, John Horton, Marvin Rotman, Charles Scott, Andreas Fischbach and Chia‐Hsien Chang. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, JNCI Journal of the National Cancer Institute, Journal of Neuropathology & Experimental Neurology, Journal of Radiation Oncology and Cureus.
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.