Chad Stoner
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Pharmaceutical Science top 10%
- Drug Solubulity and Delivery Systems
Papers in
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- Computational Drug Discovery Methods 7
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- Pharmacogenetics and Drug Metabolism 5
- Pharmacological Effects of Natural Compounds 2
- Co-authors
- Narayanan Surendran (4 shared papers)Ayman El‐Kattan (1 shared paper)Shobha Bhattachar (1 shared paper)V. Hayden Thomas (1 shared paper)Joanne Brodfuehrer (3 shared papers)Charles J. Stankovic (4 shared papers)Eric Gifford (3 shared papers)Kjell Johnson (2 shared papers)
- Journals
- Journal of Pharmaceutical Sciences (2 papers)International Journal of Pharmaceutics (2 papers)Journal of Medicinal Chemistry (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)Chemical Research in Toxicology (1 paper)
- Partner nations
- United States
In The Last Decade
Chad Stoner
10 papers receiving 312 citations
Peers
Comparison fields: 5 of 69
- Pharmacology 82
- Pharmaceutical Science 47
- Computational Theory and Mathematics 114
- Spectroscopy 38
- Oncology 50
Countries citing papers authored by Chad Stoner
This map shows the geographic impact of Chad Stoner'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 Chad Stoner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad Stoner more than expected).
Fields of papers citing papers by Chad Stoner
This network shows the impact of papers produced by Chad Stoner. 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 Chad Stoner. The network helps show where Chad Stoner may publish in the future.
Co-authors
The 25 scholars most cited alongside Chad Stoner, 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 | 2006 | 108 | |
| 2 | 2011 | 44 | |
| 3 | 2010 | 43 | |
| 4 | 2003 | 41 | |
| 5 | 2004 | 31 | |
| 6 | 2009 | 17 | |
| 7 | 2009 | 16 | |
| 8 | 2005 | 14 | |
| 9 | 2006 | 12 | |
| 10 | 2009 | 10 |
About Chad Stoner
Chad Stoner is a scholar working on Computational Theory and Mathematics, Pharmacology, Molecular Biology, Organic Chemistry and Spectroscopy, having authored 10 papers that have together received 336 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Pharmacogenetics and Drug Metabolism (5 papers), Pharmacological Effects of Natural Compounds (2 papers), Analytical Chemistry and Chromatography (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Retinal Diseases and Treatments (1 paper), Quinazolinone synthesis and applications (1 paper) and Retinal Development and Disorders (1 paper). The work is most often cited by research in Pharmacology (82 citations), Pharmaceutical Science (47 citations), Computational Theory and Mathematics (114 citations), Spectroscopy (38 citations) and Oncology (50 citations). Chad Stoner has collaborated with scholars based in United States. Frequent co-authors include Narayanan Surendran, Ayman El‐Kattan, Shobha Bhattachar, V. Hayden Thomas, Joanne Brodfuehrer, Charles J. Stankovic, Eric Gifford, Kjell Johnson, Christopher Lepsy and Sean Ekins. Their work appears in journals such as Journal of Pharmaceutical Sciences, International Journal of Pharmaceutics, Journal of Medicinal Chemistry, 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.