R. Hay
- Co-authors
- M. A. McKiernanRaymond A. KoskiVikas P. SukhatmeXing CaoCharles F. MorrisAndrea GashlerGodfrey S. GetzJ. Krause
- Topics
- Medical Imaging Techniques and Applications (4 papers)Lipid metabolism and biosynthesis (3 papers)Glycosylation and Glycoproteins Research (2 papers)
- Journals
- New England Journal of MedicineMolecular and Cellular BiologyJNCI Journal of the National Cancer Institute
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
R. Hay
21 papers receiving 717 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 388
- Surgery 118
- Cancer Research 108
- Genetics 95
- Endocrinology, Diabetes and Metabolism 92
Countries citing papers authored by R. Hay
This map shows the geographic impact of R. Hay'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 R. Hay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Hay more than expected).
Fields of papers citing papers by R. Hay
This network shows the impact of papers produced by R. Hay. 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 R. Hay. The network helps show where R. Hay may publish in the future.
Co-authorship network of co-authors of R. Hay
This figure shows the co-authorship network connecting the top 25 collaborators of R. Hay. A scholar is included among the top collaborators of R. Hay 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 R. Hay. R. Hay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Scintigraphic localization of adrenal tumors. | 3 |
| 2 | 32 | |
| 3 | 2 | |
| 4 | 28 | |
| 5 | 27 | |
| 6 | 18 | |
| 7 | Biodistribution parameters and radiation absorbed dose estimates for radiolabeled human low density lipoprotein | 1 |
| 8 | Nuclear imaging analysis of human low-density lipoprotein biodistribution in rabbits and monkeys. | 13 |
| 9 | 311 | |
| 10 | Living resources for biotechnology: animal cells. | 6 |
| 11 | 36 | |
| 12 | 24 | |
| 13 | 50 | |
| 14 | 5 | |
| 15 | Nascent very low density lipoprotein particles and apoproteins of hepatocytic endoplasmic reticulum | 2 |
| 16 | 13 | |
| 17 | 16 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 87 |
About R. Hay
R. Hay is a scholar working on Biochemistry, Radiology, Nuclear Medicine and Imaging and Pharmacy, having authored 21 papers that have together received 744 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (4 papers), Lipid metabolism and biosynthesis (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Cancer Research (108 citations), Molecular Biology (388 citations) and Endocrinology, Diabetes and Metabolism (92 citations). R. Hay has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include M. A. McKiernan, Raymond A. Koski, Vikas P. Sukhatme, Xing Cao, Charles F. Morris, Andrea Gashler, Godfrey S. Getz, J. Krause, Lawrence A. Pottenger and Arthur Reingold. Their work appears in journals such as New England Journal of Medicine, Molecular and Cellular Biology and JNCI Journal of the National Cancer Institute.
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.