S.M. Plaisted
Impact in
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- Growth Hormone and Insulin-like Growth Factors
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- Protein Structure and Dynamics
- Protein purification and stability
- Glycosylation and Glycoproteins Research
- Viral Infectious Diseases and Gene Expression in Insects
Papers in
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- Protein Structure and Dynamics 3
- Metabolism, Diabetes, and Cancer 1
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- Growth Hormone and Insulin-like Growth Factors 6
- Diet, Metabolism, and Disease 2
- Co-authors
- David N. Brems (8 shared papers)Henry A. Havel (4 shared papers)C.-S.C. Tomich (1 shared paper)Robert D. White (1 shared paper)Thomas F. Holzman (1 shared paper)John J. Dougherty (1 shared paper)Mikael Lund (1 shared paper)Sally Lehrman (1 shared paper)
- Journals
- Biochemistry (5 papers)Journal of Chromatography A (4 papers)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology (1 paper)
- Partner nations
- United States
In The Last Decade
S.M. Plaisted
12 papers receiving 307 citations
Peers
Comparison fields: 5 of 62
- Endocrinology, Diabetes and Metabolism 109
- Molecular Biology 248
- Materials Chemistry 130
- Spectroscopy 41
- Cell Biology 36
Countries citing papers authored by S.M. Plaisted
This map shows the geographic impact of S.M. Plaisted'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 S.M. Plaisted with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.M. Plaisted more than expected).
Fields of papers citing papers by S.M. Plaisted
This network shows the impact of papers produced by S.M. Plaisted. 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 S.M. Plaisted. The network helps show where S.M. Plaisted may publish in the future.
Co-authors
The 10 scholars most cited alongside S.M. Plaisted, 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 | 1986 | 72 | |
| 2 | 1986 | 67 | |
| 3 | 1985 | 63 | |
| 4 | 1988 | 52 | |
| 5 | 1987 | 33 | |
| 6 | 1987 | 30 | |
| 7 | 1988 | 12 | |
| 8 | 1983 | 8 | |
| 9 | 1989 | 3 | |
| 10 | 1985 | 3 | |
| 11 | 1984 | 2 | |
| 12 | 1986 | 1 |
About S.M. Plaisted
S.M. Plaisted is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Materials Chemistry, Physiology and Spectroscopy, having authored 12 papers that have together received 346 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (6 papers), Enzyme Structure and Function (4 papers), Analytical Chemistry and Chromatography (3 papers), Protein Structure and Dynamics (3 papers), Diet, Metabolism, and Disease (2 papers), Analytical Methods in Pharmaceuticals (2 papers), Animal Genetics and Reproduction (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (109 citations), Molecular Biology (248 citations), Materials Chemistry (130 citations), Spectroscopy (41 citations) and Cell Biology (36 citations). S.M. Plaisted has collaborated with scholars based in United States. Frequent co-authors include David N. Brems, Henry A. Havel, C.-S.C. Tomich, Robert D. White, Thomas F. Holzman, John J. Dougherty, Mikael Lund, Sally Lehrman, Neil E. Mackenzie and Paul R. Gooley. Their work appears in journals such as Biochemistry, Journal of Chromatography A, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology.
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.