Jason S. Halladay

2.3k citations
48 papers · 1.9k · h-index 21

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection
  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms
    • Cancer-related Molecular Pathways

Papers in

    • Pharmacogenetics and Drug Metabolism 22
    • Drug-Induced Hepatotoxicity and Protection 4
    • Drug Transport and Resistance Mechanisms 10

Jason S. Halladay

47 papers receiving 1.7k citations

Peers

Jason S. Halladay
Comparison fields: 5 of 107
  • Pharmacology 381
  • Oncology 482
  • Molecular Biology 1.1k
  • Computational Theory and Mathematics 238
  • Genetics 97
Replace Qiyue Hu with:
Qiyue Hu China
Ryo Atsumi Japan
Hanna Axelsson Sweden
Robert L. Shepard United States
Yang Sai China
Mark Milton United States
Mariam Aghajan United States
M.A. Argiriadi United States
Charles G. Knutson United States
Jason S. Halladay relative to Qiyue Hu China Qiyue Hu's profile →
Citations per field
00.5×1.5×2×2.3×
Qiyue Hu · 1×
Citations per year

Countries citing papers authored by Jason S. Halladay

Since Specialization
Citations

This map shows the geographic impact of Jason S. 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 S. 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 S. Halladay more than expected).

Fields of papers citing papers by Jason S. Halladay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason S. 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 S. Halladay. The network helps show where Jason S. Halladay may publish in the future.

Co-authors

The 25 scholars most cited alongside Jason S. Halladay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jason S. Halladay Line = papers co-authored together Jason S. Halladay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009340
2 2012211
3 2011122
4 2013113
5 201398
6 201387
7 201170
8 201261
9 201552
10 200851
11 200948
12 202247
13 201345
14 201345
15 201540
16 201939
17 201837
18 200729
19 201329
20 201227

About Jason S. Halladay

Jason S. Halladay is a scholar working on Pharmacology, Oncology, Computational Theory and Mathematics, Molecular Biology and Biochemistry, having authored 48 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (22 papers), Drug Transport and Resistance Mechanisms (10 papers), Computational Drug Discovery Methods (8 papers), Cancer therapeutics and mechanisms (5 papers), Biochemical and Molecular Research (4 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Analytical Chemistry and Chromatography (3 papers). The work is most often cited by research in Pharmacology (381 citations), Oncology (482 citations), Molecular Biology (1.1k citations), Computational Theory and Mathematics (238 citations) and Genetics (97 citations). Jason S. Halladay has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Siamak Cyrus Khojasteh, Jane R. Kenny, Cornelis E. C. A. Hop, Susan Wong, Saileta Prabhu, Anthony Y.H. Lu, Jasleen K. Sodhi, Patrick Poulin, Sami Haddad and Leonid M. Berezhkovskiy. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Medicinal Chemistry, Journal of Pharmaceutical Sciences, Bioorganic & Medicinal Chemistry Letters and Chemical Research in Toxicology.

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.

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