Stephen Beil
Impact in
-
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
-
- Neonatal Respiratory Health Research
- Ferroptosis and cancer prognosis
Papers in
- Surgery 2
- Tissue Engineering and Regenerative Medicine 1
-
- Renal and related cancers 1
- Co-authors
- Susan Groshen (3 shared papers)Richard J. Côté (3 shared papers)Ram H. Datar (3 shared papers)Ben George (3 shared papers)Jie Cai (3 shared papers)Bindu Konda (3 shared papers)Changfu Yao (3 shared papers)Barry R. Stripp (3 shared papers)
- Journals
- Cell Reports (1 paper)Journal of Clinical Oncology (1 paper)American Journal of Respiratory Cell and Molecular Biology (1 paper)Molecular Cancer (1 paper)Journal of Visualized Experiments (1 paper)
- Partner nations
- United StatesMexico
In The Last Decade
Stephen Beil
6 papers receiving 292 citations
Stephen Beil's Hit Papers
Peers
Comparison fields: 5 of 76
- Infectious Diseases 95
- Pulmonary and Respiratory Medicine 95
- Surgery 96
- Cancer Research 27
- Oncology 46
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 | SARS-CoV-2 infection of primary human lung epithelium for COVID-19 modeling and drug discovery Hit paper breakdown → | 2021 | 164 |
| 2 | 2007 | 101 | |
| 3 | 2004 | 21 | |
| 4 | 2020 | 9 | |
| 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, Oncology and Infectious Diseases, having authored 7 papers that have together received 300 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (2 papers), Medical Imaging and Pathology Studies (1 paper), Cancer-related Molecular Pathways (1 paper), Cancer Research and Treatments (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Obsessive-Compulsive Spectrum Disorders (1 paper), Renal and related cancers (1 paper) and Tissue Engineering and Regenerative Medicine (1 paper). The work is most often cited by research in Infectious Diseases (95 citations), Pulmonary and Respiratory Medicine (95 citations), Surgery (96 citations), Cancer Research (27 citations) and Oncology (46 citations). Stephen Beil has collaborated with scholars based in United States and Mexico. Frequent co-authors include Susan Groshen, Richard J. Côté, Ram H. Datar, Ben George, Jie Cai, Bindu Konda, Changfu Yao, Barry R. Stripp, Apoorva Mulay and Derek Pociask. Their work appears in journals such as Cell Reports, Journal of Clinical Oncology, American Journal of Respiratory Cell and Molecular Biology, Molecular Cancer 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.