William Fraser
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Mechanical Engineering
- Mechanics of Materials top 10%
- Genetics
- Co-authors
- A. T. DibenedettoKenneth S. KorachA. JohnsAna D. FreayGabor M. RubanyiBrad BolonRuth Francis‐FloydMartin Gibson
- Topics
- Growth Hormone and Insulin-like Growth Factors (5 papers)Mechanical Behavior of Composites (3 papers)Animal Virus Infections Studies (3 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
William Fraser
18 papers receiving 513 citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 143
- Endocrinology, Diabetes and Metabolism 121
- Mechanical Engineering 106
- Mechanics of Materials 97
- Genetics 96
Countries citing papers authored by William Fraser
This map shows the geographic impact of William Fraser'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 William Fraser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Fraser more than expected).
Fields of papers citing papers by William Fraser
This network shows the impact of papers produced by William Fraser. 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 William Fraser. The network helps show where William Fraser may publish in the future.
Co-authorship network of co-authors of William Fraser
This figure shows the co-authorship network connecting the top 25 collaborators of William Fraser. A scholar is included among the top collaborators of William Fraser 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 William Fraser. William Fraser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | Expression and function of gut hormone receptors in osteoblast cell lines | 0 |
| 3 | 47 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | Mice deleted for a Multiple Endocrine Neoplasia Type 1 (MEN1) allele develop pancreatic, pituitary and parathyroid tumours in association with hypercalcaemia | 2 |
| 7 | 11 | |
| 8 | 62 | |
| 9 | 103 | |
| 10 | 35 | |
| 11 | 21 | |
| 12 | 21 | |
| 13 | 25 | |
| 14 | 121 | |
| 15 | 18 | |
| 16 | 15 | |
| 17 | 11 | |
| 18 | 12 | |
| 19 | 2 |
About William Fraser
William Fraser is a scholar working on Endocrinology, Diabetes and Metabolism, Animal Science and Zoology and Behavioral Neuroscience, having authored 19 papers that have together received 528 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Mechanical Behavior of Composites (3 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (121 citations), Animal Science and Zoology (64 citations) and Mechanics of Materials (97 citations). William Fraser has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include A. T. Dibenedetto, Kenneth S. Korach, A. Johns, Ana D. Freay, Gabor M. Rubanyi, Brad Bolon, Ruth Francis‐Floyd, Martin Gibson, Anne White and James F. X. Wellehan. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and Endocrinology.
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.