G. K. Stalla
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Pharmacology top 10%
- Behavioral Neuroscience top 5%
- Cellular and Molecular Neuroscience
- Co-authors
- Ulrich RennerO. A. MüllerHarald J. SchneiderKlaus von WerderCaroline SieversMarcelo Páez-PeredaJochen SchopohlBernhard Saller
- Topics
- Pituitary Gland Disorders and Treatments (16 papers)Growth Hormone and Insulin-like Growth Factors (10 papers)Adrenal and Paraganglionic Tumors (6 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismBehavioral NeuroscienceEndocrine and Autonomic Systems
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismBrain Research
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
G. K. Stalla
27 papers receiving 749 citations
Peers
Comparison fields: 5 of 86
- Endocrinology, Diabetes and Metabolism 438
- Surgery 130
- Pharmacology 106
- Behavioral Neuroscience 83
- Cellular and Molecular Neuroscience 82
Countries citing papers authored by G. K. Stalla
This map shows the geographic impact of G. K. Stalla'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. K. Stalla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. K. Stalla more than expected).
Fields of papers citing papers by G. K. Stalla
This network shows the impact of papers produced by G. K. Stalla. 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. K. Stalla. The network helps show where G. K. Stalla may publish in the future.
Co-authorship network of co-authors of G. K. Stalla
This figure shows the co-authorship network connecting the top 25 collaborators of G. K. Stalla. A scholar is included among the top collaborators of G. K. Stalla 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. K. Stalla. G. K. Stalla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 16 | |
| 3 | 15 | |
| 4 | 18 | |
| 5 | 28 | |
| 6 | 51 | |
| 7 | 12 | |
| 8 | 12 | |
| 9 | High Incidence of AIP mutations in sporadic pituitary adenomas in young patients with macroadenomas | 5 |
| 10 | 59 | |
| 11 | 80 | |
| 12 | 29 | |
| 13 | 12 | |
| 14 | 88 | |
| 15 | 8 | |
| 16 | 10 | |
| 17 | 102 | |
| 18 | 30 | |
| 19 | 17 | |
| 20 | 31 |
About G. K. Stalla
G. K. Stalla is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Biological Psychiatry, having authored 27 papers that have together received 771 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (16 papers), Growth Hormone and Insulin-like Growth Factors (10 papers) and Adrenal and Paraganglionic Tumors (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (438 citations), Behavioral Neuroscience (83 citations) and Endocrine and Autonomic Systems (82 citations). G. K. Stalla has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Ulrich Renner, O. A. Müller, Harald J. Schneider, Klaus von Werder, Caroline Sievers, Marcelo Páez-Pereda, Jochen Schopohl, Bernhard Saller, Max Schneider and Holger Schneider. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Brain 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.