Patrick J. Heagerty
- Statistics and Probability top 0.1%
- Statistical Methods and Bayesian Inference 34
- Statistical Methods in Clinical Trials 28
- Statistical Methods and Inference 26
- Advanced Causal Inference Techniques 20
- Occupational Therapy top 0.5%
- Pathology and Forensic Medicine top 0.5%
- General Health Professions top 0.5%
- Rehabilitation top 0.5%
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- Musculoskeletal pain and rehabilitation 34
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- Health Systems, Economic Evaluations, Quality of Life 32
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- Neonatal and fetal brain pathology 28
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- Neonatal Respiratory Health Research 25
Patrick J. Heagerty
268 papers receiving 17.7k citations
Hit Papers
Peers
Comparison fields: 5 of 214
- Statistics and Probability 2.2k
- Occupational Therapy 360
- Pathology and Forensic Medicine 1.5k
- General Health Professions 1.9k
- Rehabilitation 516
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
The 25 scholars most cited alongside Patrick J. Heagerty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 7 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 6 | |
| 13 | 2021 | 11 | |
| 14 | 2021 | 12 | |
| 15 | 2020 | 13 | |
| 16 | 2018 | 4 | |
| 17 | 2018 | 36 | |
| 18 | 2016 | 164 | |
| 19 | 2009 | 48 | |
| 20 | 2000 | 3 |
About Patrick J. Heagerty
Patrick J. Heagerty is a scholar working on Statistics and Probability, Pediatrics, Perinatology and Child Health, Pharmacology, Statistics, Probability and Uncertainty and Occupational Therapy, having authored 278 papers that have together received 18.3k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (34 papers), Statistical Methods and Bayesian Inference (34 papers), Health Systems, Economic Evaluations, Quality of Life (32 papers), Statistical Methods in Clinical Trials (28 papers), Neonatal and fetal brain pathology (28 papers), Statistical Methods and Inference (26 papers), Neonatal Respiratory Health Research (25 papers) and Advanced Causal Inference Techniques (20 papers). The work is most often cited by research in Statistics and Probability (2.2k citations), Occupational Therapy (360 citations), Pathology and Forensic Medicine (1.5k citations), General Health Professions (1.9k citations) and Rehabilitation (516 citations). Patrick J. Heagerty has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Thomas Lumley, Scott L. Zeger, Margaret S. Pepe, Kung‐Yee Liang, Peter J. Diggle, Yingye Zheng, Richard A. Deyo, Bryan A. Comstock, Thomas D. Koepsell and Jeffrey G. Jarvik. Their work appears in journals such as Biometrics, Statistics in Medicine, Contemporary Clinical Trials, The Journal of Pediatrics and BMC Musculoskeletal Disorders.
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.