Bill J. Smith
- Oncology top 5%
- Molecular Biology
- Pharmacology top 1%
- Pediatrics, Perinatology and Child Health top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Cuiping ChenXingrong LiuDonald R. MattisonI.G. SipesJohn P. GibbsMeihua TuNatilie HoseaThomas E. Eling
- Topics
- Drug Transport and Resistance Mechanisms (13 papers)Pharmacogenetics and Drug Metabolism (8 papers)Pharmacological Effects and Toxicity Studies (6 papers)
- Cited by
- PharmacologyOncologyNeurology
- Journals
- Journal of Pharmacology and Experimental TherapeuticsClinical ChemistryJournal of Pharmaceutical Sciences
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Bill J. Smith
28 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 111
- Oncology 697
- Molecular Biology 467
- Pharmacology 348
- Pediatrics, Perinatology and Child Health 327
- Cellular and Molecular Neuroscience 185
Countries citing papers authored by Bill J. Smith
This map shows the geographic impact of Bill J. Smith'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 Bill J. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bill J. Smith more than expected).
Fields of papers citing papers by Bill J. Smith
This network shows the impact of papers produced by Bill J. Smith. 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 Bill J. Smith. The network helps show where Bill J. Smith may publish in the future.
Co-authorship network of co-authors of Bill J. Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Bill J. Smith. A scholar is included among the top collaborators of Bill J. Smith 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 Bill J. Smith. Bill J. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 17 | |
| 3 | 22 | |
| 4 | 41 | |
| 5 | 31 | |
| 6 | 45 | |
| 7 | 20 | |
| 8 | 36 | |
| 9 | 191 | |
| 10 | 129 | |
| 11 | 129 | |
| 12 | 136 | |
| 13 | 180 | |
| 14 | 67 | |
| 15 | 7 | |
| 16 | 35 | |
| 17 | 61 | |
| 18 | 3 | |
| 19 | 48 | |
| 20 | 90 |
About Bill J. Smith
Bill J. Smith is a scholar working on Pharmacology, Oncology and Computational Theory and Mathematics, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (13 papers), Pharmacogenetics and Drug Metabolism (8 papers) and Pharmacological Effects and Toxicity Studies (6 papers). The work is most often cited by research in Pharmacology (348 citations), Oncology (697 citations) and Neurology (157 citations). Bill J. Smith has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Cuiping Chen, Xingrong Liu, Xingrong Liu, Donald R. Mattison, I.G. Sipes, John P. Gibbs, Meihua Tu, Natilie Hosea, Thomas E. Eling and Angela C. Doran. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Clinical Chemistry 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.