Samuel W. Cushman
- Molecular Biology top 0.5%
- Physiology top 0.1%
- Surgery top 0.5%
- Cell Biology top 0.2%
- Epidemiology top 0.5%
- Co-authors
- Lawrence J. WardzalaIan A. SimpsonLester B. SalansGeoffrey D. HolmanEddy KarnieliPaul J. HissinBarbara B. KahnGerald I. Shulman
- Topics
- Metabolism, Diabetes, and Cancer (114 papers)Adipose Tissue and Metabolism (86 papers)Pancreatic function and diabetes (55 papers)
- Cited by
- PhysiologyCell BiologyBiochemistry
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Samuel W. Cushman
189 papers receiving 14.2k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 8.8k
- Physiology 6.1k
- Surgery 4.0k
- Cell Biology 3.0k
- Epidemiology 2.8k
Countries citing papers authored by Samuel W. Cushman
This map shows the geographic impact of Samuel W. Cushman'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 W. Cushman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel W. Cushman more than expected).
Fields of papers citing papers by Samuel W. Cushman
This network shows the impact of papers produced by Samuel W. Cushman. 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 W. Cushman. The network helps show where Samuel W. Cushman may publish in the future.
Co-authorship network of co-authors of Samuel W. Cushman
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel W. Cushman. A scholar is included among the top collaborators of Samuel W. Cushman 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 Samuel W. Cushman. Samuel W. Cushman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 57 | |
| 2 | 15 | |
| 3 | 13 | |
| 4 | 10 | |
| 5 | 308 | |
| 6 | 79 | |
| 7 | 150 | |
| 8 | 170 | |
| 9 | Mechanism by Which Fatty Acids Inhibit Insulin Activation of Insulin Receptor Substrate-1 (IRS-1)-associated Phosphatidylinositol 3-Kinase Activity in Musclebreakdown → | 1196 |
| 10 | 88 | |
| 11 | 242 | |
| 12 | 5 | |
| 13 | 30 | |
| 14 | 130 | |
| 15 | 4 | |
| 16 | 150 | |
| 17 | 59 | |
| 18 | 59 | |
| 19 | Effects of TRIS on insulin's stimulation of glucose transport in rat adipose cells | 1 |
| 20 | Inversion of the vectorial disposition of insulin receptor subunits with internalization in rat adipose cells | 2 |
About Samuel W. Cushman
Samuel W. Cushman is a scholar working on Physiology, Cell Biology and Molecular Biology, having authored 191 papers that have together received 14.7k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (114 papers), Adipose Tissue and Metabolism (86 papers) and Pancreatic function and diabetes (55 papers). The work is most often cited by research in Physiology (6.1k citations), Cell Biology (3.0k citations) and Biochemistry (960 citations). Samuel W. Cushman has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Lawrence J. Wardzala, Ian A. Simpson, Lester B. Salans, Geoffrey D. Holman, Eddy Karnieli, Paul J. Hissin, Barbara B. Kahn, Gerald I. Shulman, Daniela Malide and Mary Jane Zarnowski. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.