James A. Hanley
- Epidemiology top 0.5%
- Surgery top 1%
- Public Health, Environmental and Occupational Health top 0.5%
- Pulmonary and Respiratory Medicine top 1%
- Oncology top 1%
- Co-authors
- Nancy E. MayoCharles G. MoertelGilles ParadisBarbara J. McNeilJennifer O’LoughlinRobyn TamblynArnaud ChioléroSharon Wood-Dauphinée
- Topics
- Statistical Methods and Bayesian Inference (19 papers)Statistical Methods in Clinical Trials (18 papers)Statistical Methods and Inference (18 papers)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
James A. Hanley
286 papers receiving 17.0k citations
Hit Papers
Peers
Comparison fields: 5 of 221
- Epidemiology 3.0k
- Surgery 2.8k
- Public Health, Environmental and Occupational Health 2.4k
- Pulmonary and Respiratory Medicine 2.1k
- Oncology 2.0k
Countries citing papers authored by James A. Hanley
This map shows the geographic impact of James A. Hanley'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 James A. Hanley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James A. Hanley more than expected).
Fields of papers citing papers by James A. Hanley
This network shows the impact of papers produced by James A. Hanley. 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 James A. Hanley. The network helps show where James A. Hanley may publish in the future.
Co-authorship network of co-authors of James A. Hanley
This figure shows the co-authorship network connecting the top 25 collaborators of James A. Hanley. A scholar is included among the top collaborators of James A. Hanley 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 James A. Hanley. James A. Hanley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 23 | |
| 9 | 2 | |
| 10 | 20 | |
| 11 | 6 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | Anthropometric status of Oromo women of childbearing age in rural southwestern Ethiopia | 18 |
| 16 | 32 | |
| 17 | 40 | |
| 18 | 2 | |
| 19 | 52 | |
| 20 | 173 |
About James A. Hanley
James A. Hanley is a scholar working on Statistics and Probability, Otorhinolaryngology and Transplantation, having authored 291 papers that have together received 17.8k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (19 papers), Statistical Methods in Clinical Trials (18 papers) and Statistical Methods and Inference (18 papers). The work is most often cited by research in Geriatrics and Gerontology (475 citations), Family Practice (266 citations) and Transplantation (314 citations). James A. Hanley has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Nancy E. Mayo, Charles G. Moertel, Gilles Paradis, Barbara J. McNeil, Jennifer O’Loughlin, Robyn Tamblyn, Arnaud Chioléro, Sharon Wood-Dauphinée, Jennifer A. Hutcheon and Lewis A. Johnson. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.