Stephen F. Bingham
- Epidemiology top 10%
- Dermatology top 1%
- Oncology top 10%
- Molecular Biology
- Psychiatry and Mental health top 10%
- Co-authors
- Martin A. WeinstockMark F. NaylorMelody J. EideVincent CriscioneJoseph F. CollinsJohn A. ColwellWilliam O. WillifordDavid G. Weiss
- Topics
- Statistical Methods in Clinical Trials (5 papers)Nonmelanoma Skin Cancer Studies (5 papers)Health Systems, Economic Evaluations, Quality of Life (4 papers)
- Cited by
- DermatologyEpidemiologyOncology
- Journals
- Diabetes CareCancerHypertension
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Stephen F. Bingham
32 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 101
- Epidemiology 468
- Dermatology 314
- Oncology 247
- Molecular Biology 159
- Psychiatry and Mental health 129
Countries citing papers authored by Stephen F. Bingham
This map shows the geographic impact of Stephen F. Bingham'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 F. Bingham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen F. Bingham more than expected).
Fields of papers citing papers by Stephen F. Bingham
This network shows the impact of papers produced by Stephen F. Bingham. 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 F. Bingham. The network helps show where Stephen F. Bingham may publish in the future.
Co-authorship network of co-authors of Stephen F. Bingham
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen F. Bingham. A scholar is included among the top collaborators of Stephen F. Bingham 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 F. Bingham. Stephen F. Bingham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 23 | |
| 3 | 72 | |
| 4 | 300 | |
| 5 | 59 | |
| 6 | 25 | |
| 7 | 25 | |
| 8 | 27 | |
| 9 | 16 | |
| 10 | 19 | |
| 11 | 17 | |
| 12 | 3 | |
| 13 | Replace Welfare for Contingent Workers with Unemployment Compensation | 2 |
| 14 | 53 | |
| 15 | 85 | |
| 16 | 24 | |
| 17 | 24 | |
| 18 | 9 | |
| 19 | 12 | |
| 20 | 7 |
About Stephen F. Bingham
Stephen F. Bingham is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Cardiology and Cardiovascular Medicine, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (5 papers), Nonmelanoma Skin Cancer Studies (5 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). The work is most often cited by research in Dermatology (314 citations), Epidemiology (468 citations) and Oncology (247 citations). Stephen F. Bingham has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Martin A. Weinstock, Mark F. Naylor, Melody J. Eide, Vincent Criscione, Joseph F. Collins, John A. Colwell, William O. Williford, David G. Weiss, Barbara J. Powell and Elizabeth J. Nickel. Their work appears in journals such as Diabetes Care, Cancer and Hypertension.
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.