Philip B. Cox
- Organic Chemistry top 5%
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Pharmaceutical Science top 5%
- Inorganic Chemistry top 10%
- Co-authors
- Jón T. NjardarsonDavid A. DeGoeyHui-Ju ChenMichael WendtKevin A. ScottPhilip GarnerRishi GuptaPaul Erdman
- Topics
- Computational Drug Discovery Methods (6 papers)Chemical Synthesis and Analysis (4 papers)Pharmacogenetics and Drug Metabolism (4 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Medicinal ChemistryThe Journal of Organic Chemistry
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Philip B. Cox
21 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Organic Chemistry 709
- Molecular Biology 468
- Computational Theory and Mathematics 206
- Pharmaceutical Science 105
- Inorganic Chemistry 103
Countries citing papers authored by Philip B. Cox
This map shows the geographic impact of Philip B. Cox'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 Philip B. Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip B. Cox more than expected).
Fields of papers citing papers by Philip B. Cox
This network shows the impact of papers produced by Philip B. Cox. 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 Philip B. Cox. The network helps show where Philip B. Cox may publish in the future.
Co-authorship network of co-authors of Philip B. Cox
This figure shows the co-authorship network connecting the top 25 collaborators of Philip B. Cox. A scholar is included among the top collaborators of Philip B. Cox based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philip B. Cox. Philip B. Cox is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | An Update on the Nitrogen Heterocycle Compositions and Properties of U.S. FDA-Approved Pharmaceuticals (2013–2023)breakdown → | 357 |
| 3 | 41 | |
| 4 | Phenols in Pharmaceuticals: Analysis of a Recurring Motifbreakdown → | 133 |
| 5 | 42 | |
| 6 | 34 | |
| 7 | 58 | |
| 8 | 1 | |
| 9 | 16 | |
| 10 | 30 | |
| 11 | 270 | |
| 12 | 25 | |
| 13 | 75 | |
| 14 | 4 | |
| 15 | 11 | |
| 16 | 30 | |
| 17 | 18 | |
| 18 | 18 | |
| 19 | 9 | |
| 20 | 21 |
About Philip B. Cox
Philip B. Cox is a scholar working on Pharmacology, Organic Chemistry and Computational Theory and Mathematics, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Chemical Synthesis and Analysis (4 papers) and Pharmacogenetics and Drug Metabolism (4 papers). The work is most often cited by research in Organic Chemistry (709 citations), Pharmaceutical Science (105 citations) and Computational Theory and Mathematics (206 citations). Philip B. Cox has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Jón T. Njardarson, David A. DeGoey, Hui-Ju Chen, Michael Wendt, Kevin A. Scott, Philip Garner, Rishi Gupta, Paul Erdman, Stephen J. Klippenstein and Stanley M. Roberts. Their work appears in journals such as Journal of the American Chemical Society, Journal of Medicinal Chemistry and The Journal of Organic Chemistry.
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.