Patrick J. Heagerty
- Pathology and Forensic Medicine top 1%
- Surgery top 5%
- Pharmacology top 1%
- Statistics and Probability top 0.5%
- Epidemiology top 5%
- Co-authors
- Richard A. DeyoNoel S. WeissScott L. ZegerLeila R. ZelnickKatherine R. TuttleIan H. de BoerYoshio N. HallBrenda F. Kurland
- Topics
- Spine and Intervertebral Disc Pathology (23 papers)Musculoskeletal pain and rehabilitation (20 papers)Statistical Methods and Bayesian Inference (14 papers)
- Partner nations
- United StatesGreenlandUnited Kingdom
In The Last Decade
Patrick J. Heagerty
63 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Pathology and Forensic Medicine 1.0k
- Surgery 857
- Pharmacology 845
- Statistics and Probability 651
- Epidemiology 490
Countries citing papers authored by Patrick J. Heagerty
This map shows the geographic impact of Patrick J. Heagerty'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 Patrick J. Heagerty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick J. Heagerty more than expected).
Fields of papers citing papers by Patrick J. Heagerty
This network shows the impact of papers produced by Patrick J. Heagerty. 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 Patrick J. Heagerty. The network helps show where Patrick J. Heagerty may publish in the future.
Co-authorship network of co-authors of Patrick J. Heagerty
This figure shows the co-authorship network connecting the top 25 collaborators of Patrick J. Heagerty. A scholar is included among the top collaborators of Patrick J. Heagerty 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 Patrick J. Heagerty. Patrick J. Heagerty 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 | 0 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 30 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 249 | |
| 9 | 5 | |
| 10 | 33 | |
| 11 | 73 | |
| 12 | 113 | |
| 13 | 246 | |
| 14 | 14 | |
| 15 | 211 | |
| 16 | 168 | |
| 17 | 193 | |
| 18 | 21 | |
| 19 | 51 | |
| 20 | 209 |
About Patrick J. Heagerty
Patrick J. Heagerty is a scholar working on Statistics and Probability, Pathology and Forensic Medicine and Pharmacology, having authored 66 papers that have together received 4.2k indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (23 papers), Musculoskeletal pain and rehabilitation (20 papers) and Statistical Methods and Bayesian Inference (14 papers). The work is most often cited by research in Statistics and Probability (651 citations), Pathology and Forensic Medicine (1.0k citations) and Nephrology (379 citations). Patrick J. Heagerty has collaborated with scholars based in United States, Greenland and United Kingdom. Frequent co-authors include Richard A. Deyo, Noel S. Weiss, Scott L. Zeger, Leila R. Zelnick, Katherine R. Tuttle, Ian H. de Boer, Yoshio N. Hall, Brenda F. Kurland, Maryam Afkarian and Sohail K. Mirza. Their work appears in journals such as JAMA, Journal of the American Statistical Association and Gastroenterology.
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.