Bradley Saul
- Physiology
- Statistics and Probability top 5%
- Public Health, Environmental and Occupational Health
- Economics and Econometrics
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Michael G. HudgensJohn S. FinnellAlan GoldhamerToshia R. MyersKelly RichardsonCraig McDougallMohammad AliLan Liu
- Topics
- Advanced Causal Inference Techniques (5 papers)Statistical Methods and Bayesian Inference (3 papers)Statistical Methods and Inference (3 papers)
- Journals
- Journal of the American Statistical AssociationClinical Pharmacology & TherapeuticsAmerican Journal of Transplantation
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Bradley Saul
12 papers receiving 200 citations
Peers
Comparison fields: 5 of 84
- Physiology 78
- Statistics and Probability 50
- Public Health, Environmental and Occupational Health 30
- Economics and Econometrics 25
- Endocrinology, Diabetes and Metabolism 24
Countries citing papers authored by Bradley Saul
This map shows the geographic impact of Bradley Saul'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 Bradley Saul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bradley Saul more than expected).
Fields of papers citing papers by Bradley Saul
This network shows the impact of papers produced by Bradley Saul. 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 Bradley Saul. The network helps show where Bradley Saul may publish in the future.
Co-authorship network of co-authors of Bradley Saul
This figure shows the co-authorship network connecting the top 25 collaborators of Bradley Saul. A scholar is included among the top collaborators of Bradley Saul 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 Bradley Saul. Bradley Saul 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 | 6 | |
| 3 | 4 | |
| 4 | 11 | |
| 5 | 2 | |
| 6 | 16 | |
| 7 | 29 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 17 | |
| 11 | 52 | |
| 12 | 13 | |
| 13 | 53 |
About Bradley Saul
Bradley Saul is a scholar working on Statistics and Probability, Sensory Systems and Hematology, having authored 13 papers that have together received 211 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (5 papers), Statistical Methods and Bayesian Inference (3 papers) and Statistical Methods and Inference (3 papers). The work is most often cited by research in Statistics and Probability (50 citations), Physiology (78 citations) and Endocrine and Autonomic Systems (15 citations). Bradley Saul has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Michael G. Hudgens, John S. Finnell, Alan Goldhamer, Toshia R. Myers, Kelly Richardson, Craig McDougall, Mohammad Ali, Lan Liu, John D. Clemens and Leah J. McGrath. Their work appears in journals such as Journal of the American Statistical Association, Clinical Pharmacology & Therapeutics and American Journal of Transplantation.
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.