Stephen Beil
Impact in
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
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- Neonatal Respiratory Health Research
- Inhalation and Respiratory Drug Delivery
Papers in
- Surgery 2
- Tissue Engineering and Regenerative Medicine 1
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- Gene expression and cancer classification 1
- Renal and related cancers 1
- Co-authors
- Ben George (3 shared papers)Jie Cai (3 shared papers)Ram H. Datar (3 shared papers)Susan Groshen (3 shared papers)Richard J. Côté (3 shared papers)Barry R. Stripp (3 shared papers)Apoorva Mulay (3 shared papers)Bindu Konda (3 shared papers)
- Journals
- Molecular Cancer (1 paper)Journal of Clinical Oncology (1 paper)American Journal of Respiratory Cell and Molecular Biology (1 paper)Cell Reports (1 paper)Journal of Visualized Experiments (1 paper)
- Partner nations
- United StatesMexico
In The Last Decade
Stephen Beil
6 papers receiving 308 citations
Peers
Comparison fields: 5 of 72
- Infectious Diseases 92
- Pulmonary and Respiratory Medicine 88
- Surgery 98
- Oncology 39
- Cancer Research 20
Countries citing papers authored by Stephen Beil
This map shows the geographic impact of Stephen Beil'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 Stephen Beil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Beil more than expected).
Fields of papers citing papers by Stephen Beil
This network shows the impact of papers produced by Stephen Beil. 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 Stephen Beil. The network helps show where Stephen Beil may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Beil, 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 | 2021 | 171 | |
| 2 | 2007 | 109 | |
| 3 | 2004 | 24 | |
| 4 | 2020 | 10 | |
| 5 | 2022 | 3 | |
| 6 | Complete p53 multi-exon sequencing by gene chip complements use of p53 immunohistochemistry for prediction of clinical outcome in invasive bladder cancer | 2004 | 2 |
| 7 | 2024 | 0 |
About Stephen Beil
Stephen Beil is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Infectious Diseases and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 319 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (2 papers), Gene expression and cancer classification (1 paper), Respiratory viral infections research (1 paper), Renal and related cancers (1 paper), Axon Guidance and Neuronal Signaling (1 paper), COVID-19 Clinical Research Studies (1 paper), Cancer Cells and Metastasis (1 paper) and Tissue Engineering and Regenerative Medicine (1 paper). The work is most often cited by research in Infectious Diseases (92 citations), Pulmonary and Respiratory Medicine (88 citations), Surgery (98 citations), Oncology (39 citations) and Cancer Research (20 citations). Stephen Beil has collaborated with scholars based in United States and Mexico. Frequent co-authors include Ben George, Jie Cai, Ram H. Datar, Susan Groshen, Richard J. Côté, Barry R. Stripp, Apoorva Mulay, Bindu Konda, Changfu Yao and Gustavo Garcia. Their work appears in journals such as Molecular Cancer, Journal of Clinical Oncology, American Journal of Respiratory Cell and Molecular Biology, Cell Reports and Journal of Visualized Experiments.
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.