Shane Alexander
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
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- Renal cell carcinoma treatment
Papers in
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- Epigenetics and DNA Methylation 1
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- Renal cell carcinoma treatment 2
- Co-authors
- Nicholas C. Wolff (2 shared papers)Payal Kapur (2 shared papers)Xian-Jin Xie (2 shared papers)James Brugarolas (2 shared papers)Toshinari Yamasaki (1 shared paper)Yair Lotan (1 shared paper)Wareef Kabbani (1 shared paper)Samuel Peña‐Llopis (1 shared paper)
- Journals
- Molecular Cancer Research (1 paper)Open Forum Infectious Diseases (1 paper)Oncotarget (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)
- Partner nations
- United States
In The Last Decade
Shane Alexander
7 papers receiving 132 citations
Peers
Comparison fields: 5 of 39
- Cancer Research 50
- Pulmonary and Respiratory Medicine 61
- Molecular Biology 80
- Computer Vision and Pattern Recognition 12
- Physiology 12
Countries citing papers authored by Shane Alexander
This map shows the geographic impact of Shane Alexander'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 Shane Alexander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shane Alexander more than expected).
Fields of papers citing papers by Shane Alexander
This network shows the impact of papers produced by Shane Alexander. 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 Shane Alexander. The network helps show where Shane Alexander may publish in the future.
Co-authors
The 24 scholars most cited alongside Shane Alexander, 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 | 2011 | 88 | |
| 2 | 2015 | 25 | |
| 3 | 2011 | 6 | |
| 4 | 2011 | 6 | |
| 5 | 2022 | 3 | |
| 6 | 2011 | 3 | |
| 7 | 2010 | 3 |
About Shane Alexander
Shane Alexander is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 7 papers that have together received 134 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (2 papers), Image and Signal Denoising Methods (2 papers), Image Processing Techniques and Applications (2 papers), Neural Networks and Applications (2 papers), Optical Coherence Tomography Applications (1 paper), Fuzzy Logic and Control Systems (1 paper), Cancer Genomics and Diagnostics (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cancer Research (50 citations), Pulmonary and Respiratory Medicine (61 citations), Molecular Biology (80 citations), Computer Vision and Pattern Recognition (12 citations) and Physiology (12 citations). Shane Alexander has collaborated with scholars based in United States. Frequent co-authors include Nicholas C. Wolff, Payal Kapur, Xian-Jin Xie, James Brugarolas, Toshinari Yamasaki, Yair Lotan, Wareef Kabbani, Samuel Peña‐Llopis, Tram Anh T. Tran and Blanka Kucejová. Their work appears in journals such as Molecular Cancer Research, Open Forum Infectious Diseases, Oncotarget and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.