Samuel E. Allerton
Impact in
- Cell Biology top 10%
- Proteoglycans and glycosaminoglycans research
- Hemoglobin structure and function
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- Glycosylation and Glycoproteins Research
- Renal and related cancers
- Fibroblast Growth Factor Research
- Protein Hydrolysis and Bioactive Peptides
Papers in
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- Renal and related cancers 5
- Lipid Membrane Structure and Behavior 1
- Enzyme function and inhibition 1
- Biochemical and Molecular Research 1
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- Skin and Cellular Biology Research 1
- Co-authors
- Gertrude E. Perlmann (2 shared papers)D Powars (2 shared papers)Darleen Powars (2 shared papers)Paul Denny (1 shared paper)Patricia A. Denny (1 shared paper)Lucien A. Bavetta (2 shared papers)Kim S. Wise (2 shared papers)Gary N. Trump (2 shared papers)
- Journals
- Clinica Chimica Acta (2 papers)Journal of Biological Chemistry (2 papers)Cancer (1 paper)Nature (1 paper)International Journal of Cancer (1 paper)
- Partner nations
- United States
In The Last Decade
Samuel E. Allerton
10 papers receiving 356 citations
Peers
Comparison fields: 5 of 80
- Cell Biology 127
- Molecular Biology 238
- Animal Science and Zoology 32
- Urology 14
- Immunology and Allergy 13
Countries citing papers authored by Samuel E. Allerton
This map shows the geographic impact of Samuel E. Allerton'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 Samuel E. Allerton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel E. Allerton more than expected).
Fields of papers citing papers by Samuel E. Allerton
This network shows the impact of papers produced by Samuel E. Allerton. 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 Samuel E. Allerton. The network helps show where Samuel E. Allerton may publish in the future.
Co-authors
The 11 scholars most cited alongside Samuel E. Allerton, 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 | 1965 | 181 | |
| 2 | The selective suppression of immunogenicity by hyaluronic acid. | 1986 | 86 |
| 3 | 1983 | 36 | |
| 4 | 1972 | 25 | |
| 5 | Abnormal extracellular components in Wilms' tumor. | 1970 | 22 |
| 6 | 1962 | 15 | |
| 7 | 1966 | 12 | |
| 8 | 1975 | 12 | |
| 9 | 1975 | 8 | |
| 10 | 1971 | 5 |
About Samuel E. Allerton
Samuel E. Allerton is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Urology and Oncology, having authored 10 papers that have together received 402 indexed citations. Recurring topics across this work include Renal and related cancers (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Proteins in Food Systems (1 paper), Molecular spectroscopy and chirality (1 paper), Lipid Membrane Structure and Behavior (1 paper), Enzyme function and inhibition (1 paper), Biochemical and Molecular Research (1 paper) and Skin and Cellular Biology Research (1 paper). The work is most often cited by research in Cell Biology (127 citations), Molecular Biology (238 citations), Animal Science and Zoology (32 citations), Urology (14 citations) and Immunology and Allergy (13 citations). Samuel E. Allerton has collaborated with scholars based in United States. Frequent co-authors include Gertrude E. Perlmann, D Powars, Darleen Powars, Paul Denny, Patricia A. Denny, Lucien A. Bavetta, Kim S. Wise, Gary N. Trump, John T. Edsall and David H. Elwyn. Their work appears in journals such as Clinica Chimica Acta, Journal of Biological Chemistry, Cancer, Nature and International Journal of Cancer.
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.