Wylie Vale
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Behavioral Neuroscience top 0.1%
- Social Psychology top 1%
- Reproductive Medicine top 0.5%
- Co-authors
- Catherine RivierJoan VaughanHélène MeunierPaul E. SawchenkoJean RivierMark E. SmithGayle YamamotoRonald M. Evans
- Topics
- Growth Hormone and Insulin-like Growth Factors (21 papers)Stress Responses and Cortisol (13 papers)Hypothalamic control of reproductive hormones (10 papers)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Wylie Vale
65 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 2.0k
- Endocrinology, Diabetes and Metabolism 1.9k
- Behavioral Neuroscience 1.8k
- Social Psychology 964
- Reproductive Medicine 814
Countries citing papers authored by Wylie Vale
This map shows the geographic impact of Wylie Vale'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 Wylie Vale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wylie Vale more than expected).
Fields of papers citing papers by Wylie Vale
This network shows the impact of papers produced by Wylie Vale. 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 Wylie Vale. The network helps show where Wylie Vale may publish in the future.
Co-authorship network of co-authors of Wylie Vale
This figure shows the co-authorship network connecting the top 25 collaborators of Wylie Vale. A scholar is included among the top collaborators of Wylie Vale 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 Wylie Vale. Wylie Vale is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Urocortin 3 transgenic mice exhibit a metabolically favourable phenotype resisting obesity and insulin resistance on a high fat diet | 1 |
| 2 | 68 | |
| 3 | Distribution of mRNAs encoding CRF receptors in brain and pituitary of rat and mousebreakdown → | 893 |
| 4 | 5 | |
| 5 | 41 | |
| 6 | 74 | |
| 7 | 40 | |
| 8 | 11 | |
| 9 | 16 | |
| 10 | 12 | |
| 11 | 72 | |
| 12 | 34 | |
| 13 | 211 | |
| 14 | 28 | |
| 15 | 179 | |
| 16 | 248 | |
| 17 | 49 | |
| 18 | 20 | |
| 19 | 19 | |
| 20 | Somatostatin administration in the carcinoid syndrome | 1 |
About Wylie Vale
Wylie Vale is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 65 papers that have together received 5.6k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (21 papers), Stress Responses and Cortisol (13 papers) and Hypothalamic control of reproductive hormones (10 papers). The work is most often cited by research in Behavioral Neuroscience (1.8k citations), Biological Psychiatry (385 citations) and Endocrinology, Diabetes and Metabolism (1.9k citations). Wylie Vale has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Catherine Rivier, Joan Vaughan, Hélène Meunier, Paul E. Sawchenko, Jean Rivier, Mark E. Smith, Gayle Yamamoto, Ronald M. Evans, Jean Rivier and Nils Billestrup. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.