Jonathan Cheong
- Pharmaceutical Science top 2%
- Drug Solubulity and Delivery Systems 3
- Pharmacology top 2%
- Oncology top 10%
- Drug Transport and Resistance Mechanisms 13
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- Computational Drug Discovery Methods 2
- Infectious Diseases top 10%
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- Pharmacological Effects and Toxicity Studies 7
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- Wound Healing and Treatments 4
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- Cancer therapeutics and mechanisms 4
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- Nail Diseases and Treatments 3
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- Diabetic Foot Ulcer Assessment and Management 2
Jonathan Cheong
29 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Pharmaceutical Science 151
- Pharmacology 177
- Oncology 412
- Computational Theory and Mathematics 209
- Infectious Diseases 161
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 19 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 41 | |
| 10 | 2021 | 7 | |
| 11 | 2020 | 5 | |
| 12 | 2020 | 103 | |
| 13 | 2019 | 6 | |
| 14 | 2017 | 9 | |
| 15 | 2016 | 34 | |
| 16 | 2015 | 29 | |
| 17 | 2014 | 17 | |
| 18 | 2014 | 23 | |
| 19 | 2011 | 13 | |
| 20 | MDCK (Madin-Darby Canine Kidney) Cells: A Tool for Membrane Permeability Screeningbreakdown → | 1999 | 735 |
About Jonathan Cheong
Jonathan Cheong is a scholar working on Oncology, Rehabilitation, Pharmaceutical Science, Pediatrics, Perinatology and Child Health and Pharmacology, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (13 papers), Pharmacological Effects and Toxicity Studies (7 papers), Wound Healing and Treatments (4 papers), Cancer therapeutics and mechanisms (4 papers), Nail Diseases and Treatments (3 papers), Drug Solubulity and Delivery Systems (3 papers), Diabetic Foot Ulcer Assessment and Management (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Pharmaceutical Science (151 citations), Pharmacology (177 citations), Oncology (412 citations), Computational Theory and Mathematics (209 citations) and Infectious Diseases (161 citations). Jonathan Cheong has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Jeffrey Grove, Harold E. Selick, Lori H. Takahashi, Emile G. Plise, Lindsay Kalan, Jeniel E. Nett, Chad Johnson, Jae H. Chang, John F. Kernien and Laurent Salphati. Their work appears in journals such as Xenobiotica, Drug Metabolism and Disposition, Molecular Pharmaceutics, Wound Repair and Regeneration 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.