Jason Halladay
Impact in
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Oncology top 10%
- Drug Transport and Resistance Mechanisms
Papers in
- Pharmacology 25
- Pharmacogenetics and Drug Metabolism 22
- Drug-Induced Hepatotoxicity and Protection 6
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- Protein Degradation and Inhibitors 5
- PI3K/AKT/mTOR signaling in cancer 4
- Cancer therapeutics and mechanisms 3
- Co-authors
- S. Cyrus Khojasteh (17 shared papers)Jane R. Kenny (8 shared papers)Cornelis E. C. A. Hop (11 shared papers)Susan Wong (11 shared papers)Anthony Y.H. Lu (1 shared paper)Saileta Prabhu (1 shared paper)Jasleen K. Sodhi (9 shared papers)Patrick Poulin (2 shared papers)
- Journals
- Drug Metabolism and Disposition (8 papers)Journal of Pharmaceutical Sciences (4 papers)Blood (3 papers)Molecular Cancer Therapeutics (2 papers)Xenobiotica (2 papers)
- Partner nations
- United StatesFranceNorway
In The Last Decade
Jason Halladay
41 papers receiving 713 citations
Peers
Comparison fields: 5 of 93
- Pharmacology 344
- Oncology 255
- Computational Theory and Mathematics 112
- Biochemistry 45
- Molecular Biology 328
Countries citing papers authored by Jason Halladay
This map shows the geographic impact of Jason Halladay'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 Jason Halladay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Halladay more than expected).
Fields of papers citing papers by Jason Halladay
This network shows the impact of papers produced by Jason Halladay. 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 Jason Halladay. The network helps show where Jason Halladay may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason Halladay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 116 | |
| 2 | 2012 | 57 | |
| 3 | 2015 | 49 | |
| 4 | 2009 | 47 | |
| 5 | 2013 | 42 | |
| 6 | 2022 | 39 | |
| 7 | 2015 | 37 | |
| 8 | 2013 | 36 | |
| 9 | 2012 | 27 | |
| 10 | 2013 | 22 | |
| 11 | 2011 | 20 | |
| 12 | 2007 | 20 | |
| 13 | 2016 | 19 | |
| 14 | 2008 | 18 | |
| 15 | 2015 | 15 | |
| 16 | 2014 | 15 | |
| 17 | 2002 | 14 | |
| 18 | 2011 | 14 | |
| 19 | 2012 | 13 | |
| 20 | 2014 | 12 |
About Jason Halladay
Jason Halladay is a scholar working on Pharmacology, Molecular Biology, Oncology, Computational Theory and Mathematics and Hematology, having authored 42 papers that have together received 769 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (22 papers), Drug Transport and Resistance Mechanisms (12 papers), Computational Drug Discovery Methods (7 papers), Drug-Induced Hepatotoxicity and Protection (6 papers), Protein Degradation and Inhibitors (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Multiple Myeloma Research and Treatments (4 papers) and Cancer therapeutics and mechanisms (3 papers). The work is most often cited by research in Pharmacology (344 citations), Oncology (255 citations), Computational Theory and Mathematics (112 citations), Biochemistry (45 citations) and Molecular Biology (328 citations). Jason Halladay has collaborated with scholars based in United States, France and Norway. Frequent co-authors include S. Cyrus Khojasteh, Jane R. Kenny, Cornelis E. C. A. Hop, Susan Wong, Anthony Y.H. Lu, Saileta Prabhu, Jasleen K. Sodhi, Patrick Poulin, Sami Haddad and Leonid M. Berezhkovskiy. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Pharmaceutical Sciences, Blood, Molecular Cancer Therapeutics and Xenobiotica.
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.