W G Beamer
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Genetics top 10%
- Physiology
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Eva M. EicherBogi AndersenSarah E. FlynnMichael G. RosenfeldWei WuJeremy S. DasenDeborah J. NormanLin Zuo
- Topics
- Growth Hormone and Insulin-like Growth Factors (5 papers)Cancer, Hypoxia, and Metabolism (2 papers)Birth, Development, and Health (2 papers)
- Partner nations
- United StatesGermany
In The Last Decade
W G Beamer
12 papers receiving 866 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Endocrinology, Diabetes and Metabolism 483
- Molecular Biology 396
- Genetics 332
- Physiology 131
- Pediatrics, Perinatology and Child Health 93
Countries citing papers authored by W G Beamer
This map shows the geographic impact of W G Beamer'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 W G Beamer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W G Beamer more than expected).
Fields of papers citing papers by W G Beamer
This network shows the impact of papers produced by W G Beamer. 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 W G Beamer. The network helps show where W G Beamer may publish in the future.
Co-authorship network of co-authors of W G Beamer
This figure shows the co-authorship network connecting the top 25 collaborators of W G Beamer. A scholar is included among the top collaborators of W G Beamer 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 W G Beamer. W G Beamer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | Pituitary lineage determination by the Prophet of Pit-1 homeodomain factor defective in Ames dwarfismbreakdown → | 615 |
| 3 | 62 | |
| 4 | 8 | |
| 5 | Autoregulation of testicular LH receptors in Ames dwarf (df/df) and pigmy (pg/pg) mice. | 2 |
| 6 | Mouse models of genetic diseases. | 6 |
| 7 | Testicular LH receptors and circulating hormone levels in three mouse models for inherited diseases (Tfm/y, lit/lit and hyt/hyt). | 7 |
| 8 | 9 | |
| 9 | 19 | |
| 10 | Endocrinology of ovarian tumors. | 2 |
| 11 | 46 | |
| 12 | 94 |
About W G Beamer
W G Beamer is a scholar working on Endocrinology, Diabetes and Metabolism, Urology and Clinical Biochemistry, having authored 12 papers that have together received 892 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Birth, Development, and Health (2 papers). The work is most often cited by research in Aging (57 citations), Endocrinology, Diabetes and Metabolism (483 citations) and Genetics (332 citations). W G Beamer has collaborated with scholars based in United States and Germany. Frequent co-authors include Eva M. Eicher, Bogi Andersen, Sarah E. Flynn, Michael G. Rosenfeld, Wei Wu, Jeremy S. Dasen, Deborah J. Norman, Lin Zuo, Andrew P. Miller and Aimee K. Ryan. Their work appears in journals such as Nature, The Journal of Experimental Medicine and Diabetes.
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.