Diana Maas
- Epidemiology top 10%
- Physiology top 10%
- Endocrine and Autonomic Systems top 5%
- Surgery
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Albert P. PhilipseGabriele E. SonnenbergAhmed H. KissebahM. Anwar IqbalHosam K. KamelEdmund H. DuthieGlenn R. KrakowerRaymond G. Hoffmann
- Topics
- Growth Hormone and Insulin-like Growth Factors (6 papers)Pituitary Gland Disorders and Treatments (5 papers)Regulation of Appetite and Obesity (4 papers)
- Partner nations
- United StatesNetherlandsJapan
In The Last Decade
Diana Maas
18 papers receiving 952 citations
Peers
Comparison fields: 5 of 108
- Epidemiology 323
- Physiology 317
- Endocrine and Autonomic Systems 211
- Surgery 198
- Cardiology and Cardiovascular Medicine 177
Countries citing papers authored by Diana Maas
This map shows the geographic impact of Diana Maas'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 Diana Maas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana Maas more than expected).
Fields of papers citing papers by Diana Maas
This network shows the impact of papers produced by Diana Maas. 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 Diana Maas. The network helps show where Diana Maas may publish in the future.
Co-authorship network of co-authors of Diana Maas
This figure shows the co-authorship network connecting the top 25 collaborators of Diana Maas. A scholar is included among the top collaborators of Diana Maas 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 Diana Maas. Diana Maas 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 | 10 | |
| 3 | 5 | |
| 4 | "My rings won't fit anymore". Ectopic growth hormone-secreting tumor. | 6 |
| 5 | 212 | |
| 6 | 98 | |
| 7 | 180 | |
| 8 | 35 | |
| 9 | 255 | |
| 10 | 21 | |
| 11 | 19 | |
| 12 | 3 | |
| 13 | 117 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 14 | |
| 17 | 5 | |
| 18 | 2 | |
| 19 | [Wegener's granulomatosis. Clinical, immunological and autopsy findings]. | 0 |
About Diana Maas
Diana Maas is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 19 papers that have together received 987 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (6 papers), Pituitary Gland Disorders and Treatments (5 papers) and Regulation of Appetite and Obesity (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (211 citations), Physiology (317 citations) and Geriatrics and Gerontology (39 citations). Diana Maas has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Albert P. Philipse, Gabriele E. Sonnenberg, Ahmed H. Kissebah, M. Anwar Iqbal, Hosam K. Kamel, Edmund H. Duthie, Glenn R. Krakower, Raymond G. Hoffmann, Anthony G. Comuzzie and Anne E. Kwitek. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and Langmuir.
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.