Jacqueline Corrigan‐Curay
- Health Informatics top 10%
- Statistics and Probability top 5%
- Advanced Causal Inference Techniques 2
- Statistical Methods in Clinical Trials 2
- Economics and Econometrics top 10%
- Health Systems, Economic Evaluations, Quality of Life 3
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- CAR-T cell therapy research 2
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- Biomedical Ethics and Regulation 2
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- Biomedical and Engineering Education 2
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- Virus-based gene therapy research 2
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- CRISPR and Genetic Engineering 2
- Co-authors
- Leonard SacksJanet WoodcockJohn ConcatoJeffrey KahnScott E. StromeJohn A. ZaiaHildegund C.J. ErtlSteven A. Rosenberg
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Jacqueline Corrigan‐Curay
12 papers receiving 608 citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Health Informatics 19
- Statistics and Probability 106
- Business and International Management 12
- Economics and Econometrics 148
- Oncology 119
Countries citing papers authored by Jacqueline Corrigan‐Curay
This map shows the geographic impact of Jacqueline Corrigan‐Curay'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 Jacqueline Corrigan‐Curay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline Corrigan‐Curay more than expected).
Fields of papers citing papers by Jacqueline Corrigan‐Curay
This network shows the impact of papers produced by Jacqueline Corrigan‐Curay. 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 Jacqueline Corrigan‐Curay. The network helps show where Jacqueline Corrigan‐Curay may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jacqueline Corrigan‐Curay, 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 | 2022 | 111 | |
| 2 | 2021 | 2 | |
| 3 | 2020 | 25 | |
| 4 | 2020 | 9 | |
| 5 | 2019 | 11 | |
| 6 | 2018 | 5 | |
| 7 | Real-World Evidence and Real-World Data for Evaluating Drug Safety and Effectivenessbreakdown → | 2018 | 267 |
| 8 | 2015 | 0 | |
| 9 | 2015 | 5 | |
| 10 | 2015 | 78 | |
| 11 | 2012 | 13 | |
| 12 | 2012 | 33 | |
| 13 | 2011 | 57 |
About Jacqueline Corrigan‐Curay
Jacqueline Corrigan‐Curay is a scholar working on Business and International Management, Statistics and Probability and Geriatrics and Gerontology, having authored 13 papers that have together received 616 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (3 papers), Biomedical Ethics and Regulation (2 papers), Biomedical and Engineering Education (2 papers), Virus-based gene therapy research (2 papers), CRISPR and Genetic Engineering (2 papers), CAR-T cell therapy research (2 papers), Advanced Causal Inference Techniques (2 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Health Informatics (19 citations), Statistics and Probability (106 citations) and Business and International Management (12 citations). Jacqueline Corrigan‐Curay has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Leonard Sacks, Janet Woodcock, John Concato, Jeffrey Kahn, Scott E. Strome, John A. Zaia, Hildegund C.J. Ertl, Steven A. Rosenberg, Laurence J.N. Cooper and Robert Jambou. Their work appears in journals such as New England Journal of Medicine, JAMA and Cancer Research.
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.