Jonathan Cheong
Impact in
- Pharmaceutical Science top 2%
- Drug Solubulity and Delivery Systems
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
Papers in
- Oncology 15
- Drug Transport and Resistance Mechanisms 12
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- Cancer therapeutics and mechanisms 4
- Co-authors
- Lori H. Takahashi (1 shared paper)John W. Tolan (1 shared paper)Harold E. Selick (1 shared paper)Jeffrey Grove (1 shared paper)Emile G. Plise (9 shared papers)Lindsay Kalan (10 shared papers)Chad Johnson (3 shared papers)Jeniel E. Nett (3 shared papers)
- Journals
- Drug Metabolism and Disposition (4 papers)Xenobiotica (4 papers)Wound Repair and Regeneration (3 papers)Molecular Pharmaceutics (3 papers)Journal of Pharmaceutical Sciences (2 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Jonathan Cheong
30 papers receiving 1.3k citations
Jonathan Cheong's Hit Papers
Peers
Comparison fields: 5 of 121
- Pharmaceutical Science 152
- Pharmacology 184
- Oncology 421
- Computational Theory and Mathematics 224
- Infectious Diseases 163
Countries citing papers authored by Jonathan Cheong
This map shows the geographic impact of Jonathan Cheong'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 Jonathan Cheong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Cheong more than expected).
Fields of papers citing papers by Jonathan Cheong
This network shows the impact of papers produced by Jonathan Cheong. 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 Jonathan Cheong. The network helps show where Jonathan Cheong may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Cheong, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MDCK (Madin-Darby Canine Kidney) Cells: A Tool for Membrane Permeability Screening Hit paper breakdown → | 1999 | 789 |
| 2 | 2020 | 112 | |
| 3 | 2016 | 83 | |
| 4 | 2013 | 60 | |
| 5 | 2021 | 44 | |
| 6 | 2016 | 39 | |
| 7 | 2018 | 35 | |
| 8 | 2015 | 30 | |
| 9 | 2010 | 24 | |
| 10 | 2014 | 23 | |
| 11 | 2023 | 21 | |
| 12 | 2014 | 18 | |
| 13 | 2011 | 14 | |
| 14 | 2022 | 10 | |
| 15 | 2017 | 9 | |
| 16 | 2019 | 8 | |
| 17 | 2024 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2021 | 7 | |
| 20 | 2024 | 7 |
About Jonathan Cheong
Jonathan Cheong is a scholar working on Oncology, Molecular Biology, Pediatrics, Perinatology and Child Health, Epidemiology and Pharmacology, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (12 papers), Pharmacological Effects and Toxicity Studies (7 papers), Wound Healing and Treatments (4 papers), Drug Solubulity and Delivery Systems (4 papers), Cancer therapeutics and mechanisms (4 papers), Nail Diseases and Treatments (3 papers), Antifungal resistance and susceptibility (2 papers) and Fungal Infections and Studies (2 papers). The work is most often cited by research in Pharmaceutical Science (152 citations), Pharmacology (184 citations), Oncology (421 citations), Computational Theory and Mathematics (224 citations) and Infectious Diseases (163 citations). Jonathan Cheong has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Lori H. Takahashi, John W. Tolan, Harold E. Selick, Jeffrey Grove, Emile G. Plise, Lindsay Kalan, Chad Johnson, Jeniel E. Nett, Jae H. Chang and John F. Kernien. Their work appears in journals such as Drug Metabolism and Disposition, Xenobiotica, Wound Repair and Regeneration, Molecular Pharmaceutics and Journal of Pharmaceutical Sciences.
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.