Stephen T. Miller
- Molecular Biology top 5%
- Genetics top 5%
- Endocrinology top 1%
- Cardiology and Cardiovascular Medicine top 5%
- General Health Professions top 5%
- Co-authors
- Bonnie L. BasslerMichiko E. TagaKarina B. XavierWilliam B. ApplegateJanet T. ElamMarshall J. GraneyFrederick M. HughsonM. F. SEMMELHACK
- Topics
- Blood Pressure and Hypertension Studies (9 papers)Bacterial biofilms and quorum sensing (9 papers)Bacterial Genetics and Biotechnology (7 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesPortugalVietnam
In The Last Decade
Stephen T. Miller
60 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 154
- Molecular Biology 1.3k
- Genetics 544
- Endocrinology 401
- Cardiology and Cardiovascular Medicine 367
- General Health Professions 326
Countries citing papers authored by Stephen T. Miller
This map shows the geographic impact of Stephen T. Miller'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 T. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen T. Miller more than expected).
Fields of papers citing papers by Stephen T. Miller
This network shows the impact of papers produced by Stephen T. Miller. 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 T. Miller. The network helps show where Stephen T. Miller may publish in the future.
Co-authorship network of co-authors of Stephen T. Miller
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen T. Miller. A scholar is included among the top collaborators of Stephen T. Miller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephen T. Miller. Stephen T. Miller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | Effects of an Intervention to Increase Bed Alarm Use to Prevent Falls in Hospitalized Patients | 4 |
| 3 | 7 | |
| 4 | 59 | |
| 5 | 23 | |
| 6 | 31 | |
| 7 | 425 | |
| 8 | 26 | |
| 9 | 20 | |
| 10 | 12 | |
| 11 | 6 | |
| 12 | 11 | |
| 13 | 17 | |
| 14 | 15 | |
| 15 | 141 | |
| 16 | 22 | |
| 17 | 123 | |
| 18 | 5 | |
| 19 | 28 | |
| 20 | 21 |
About Stephen T. Miller
Stephen T. Miller is a scholar working on Geriatrics and Gerontology, Issues, ethics and legal aspects and Endocrinology, having authored 61 papers that have together received 2.9k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (9 papers), Bacterial biofilms and quorum sensing (9 papers) and Bacterial Genetics and Biotechnology (7 papers). The work is most often cited by research in Geriatrics and Gerontology (307 citations), Endocrinology (401 citations) and Physical Therapy, Sports Therapy and Rehabilitation (167 citations). Stephen T. Miller has collaborated with scholars based in United States, Portugal and Vietnam. Frequent co-authors include Bonnie L. Bassler, Michiko E. Taga, Karina B. Xavier, William B. Applegate, Janet T. Elam, Marshall J. Graney, Frederick M. Hughson, M. F. SEMMELHACK, Shawn R. Campagna and Robert Burns. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.