G Geyer
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Molecular Biology
- Physiology
- Infectious Diseases
- Co-authors
- Luiz Carlos SeveroA. T. LonderoAnton LugerW. WoloszczukH. KotzmannWilliam P. ChapmanMary A. B. BrazierJames L. Poppen
- Topics
- Pituitary Gland Disorders and Treatments (9 papers)Growth Hormone and Insulin-like Growth Factors (7 papers)Antifungal resistance and susceptibility (5 papers)
- Cited by
- Behavioral NeuroscienceEndocrinology, Diabetes and MetabolismEndocrine and Autonomic Systems
- Partner nations
- AustriaBrazilUnited States
In The Last Decade
G Geyer
80 papers receiving 757 citations
Peers
Comparison fields: 5 of 113
- Endocrinology, Diabetes and Metabolism 177
- Epidemiology 170
- Molecular Biology 128
- Physiology 121
- Infectious Diseases 112
Countries citing papers authored by G Geyer
This map shows the geographic impact of G Geyer'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 G Geyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Geyer more than expected).
Fields of papers citing papers by G Geyer
This network shows the impact of papers produced by G Geyer. 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 G Geyer. The network helps show where G Geyer may publish in the future.
Co-authorship network of co-authors of G Geyer
This figure shows the co-authorship network connecting the top 25 collaborators of G Geyer. A scholar is included among the top collaborators of G Geyer 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 G Geyer. G Geyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 31 | |
| 3 | 12 | |
| 4 | 51 | |
| 5 | 17 | |
| 6 | 6 | |
| 7 | 37 | |
| 8 | 14 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 24 | |
| 12 | 37 | |
| 13 | 3 | |
| 14 | 9 | |
| 15 | 13 | |
| 16 | 5 | |
| 17 | 8 | |
| 18 | 2 | |
| 19 | [Electronmicroscopic investigation of the surface charge of the lens epithelial cells of cattle in the short time culture (author's transl)]. | 3 |
| 20 | [Submicroscopic distribution of alkaline phosphatase in the human placenta]. | 5 |
About G Geyer
G Geyer is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Physiology, having authored 85 papers that have together received 816 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (9 papers), Growth Hormone and Insulin-like Growth Factors (7 papers) and Antifungal resistance and susceptibility (5 papers). The work is most often cited by research in Behavioral Neuroscience (38 citations), Endocrinology, Diabetes and Metabolism (177 citations) and Endocrine and Autonomic Systems (63 citations). G Geyer has collaborated with scholars based in Austria, Brazil and United States. Frequent co-authors include Luiz Carlos Severo, A. T. Londero, Anton Luger, W. Woloszczuk, H. Kotzmann, William P. Chapman, Mary A. B. Brazier, James L. Poppen, Charles A. Fager and Harry C. Solomon. Their work appears in journals such as Science, Journal of Clinical Investigation and Journal of the American College of Cardiology.
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.