W. Smith
Impact in
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- Biosimilars and Bioanalytical Methods
- Statistics and Probability top 5%
- Advanced Statistical Methods and Models
Papers in ⓘ
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- Protein purification and stability 1
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- Inflammatory mediators and NSAID effects 1
- Co-authors
- I. Das (1 shared paper)John W. A. Findlay (1 shared paper)Binodh DeSilva (1 shared paper)Gerald D. Nordblom (1 shared paper)Masood N. Khan (1 shared paper)Ronald R. Bowsher (1 shared paper)Marie Davidian (1 shared paper)Raymond J. Carroll (1 shared paper)
- Journals
- Toxicological Sciences (1 paper)Journal of Veterinary Pharmacology and Therapeutics (1 paper)Clinical Chemistry (1 paper)Journal of the Royal Statistical Society Series C (Applied Statistics) (1 paper)Journal of Pharmaceutical and Biomedical Analysis (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
W. Smith
9 papers receiving 544 citations
Peers
Comparison fields: 5 of 107
- Immunology 168
- Statistics and Probability 61
- Microbiology 30
- Radiology, Nuclear Medicine and Imaging 110
- Molecular Biology 278
Countries citing papers authored by W. Smith
This map shows the geographic impact of W. 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 W. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Smith more than expected).
Fields of papers citing papers by W. Smith
This network shows the impact of papers produced by W. 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 W. Smith. The network helps show where W. Smith may publish in the future.
Co-authors
The 17 scholars most cited alongside W. Smith, 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 | 2000 | 438 | |
| 2 | 1988 | 62 | |
| 3 | 1996 | 35 | |
| 4 | 1981 | 22 | |
| 5 | 1989 | 10 | |
| 6 | 1996 | 7 | |
| 7 | 1998 | 6 | |
| 8 | 2007 | 6 | |
| 9 | 1976 | 3 |
About W. Smith
W. Smith is a scholar working on Molecular Biology, Pharmacology, Radiology, Nuclear Medicine and Imaging, Surgery and Small Animals, having authored 9 papers that have together received 589 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (2 papers), Carcinogens and Genotoxicity Assessment (1 paper), Inflammatory mediators and NSAID effects (1 paper), Land Rights and Reforms (1 paper), Protein purification and stability (1 paper), Gastrointestinal motility and disorders (1 paper), Veterinary Pharmacology and Anesthesia (1 paper) and Vietnamese History and Culture Studies (1 paper). The work is most often cited by research in Immunology (168 citations), Statistics and Probability (61 citations), Microbiology (30 citations), Radiology, Nuclear Medicine and Imaging (110 citations) and Molecular Biology (278 citations). W. Smith has collaborated with scholars based in United States and Australia. Frequent co-authors include I. Das, John W. A. Findlay, Binodh DeSilva, Gerald D. Nordblom, Masood N. Khan, Ronald R. Bowsher, Marie Davidian, Raymond J. Carroll, Bradley W. Main and R. Dustan Sarazan. Their work appears in journals such as Toxicological Sciences, Journal of Veterinary Pharmacology and Therapeutics, Clinical Chemistry, Journal of the Royal Statistical Society Series C (Applied Statistics) and Journal of Pharmaceutical and Biomedical Analysis.
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.