Marily Theodoropoulou
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- Pituitary Gland Disorders and Treatments 56
- Growth Hormone and Insulin-like Growth Factors 19
- Genetics top 2%
- Glioma Diagnosis and Treatment 12
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 9
- Epidemiology top 5%
- Neuroendocrine Tumor Research Advances 19
- Neurology top 5%
- Neuroblastoma Research and Treatments 10
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- Adrenal and Paraganglionic Tumors 22
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- PI3K/AKT/mTOR signaling in cancer 10
In The Last Decade
Marily Theodoropoulou
94 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Endocrinology, Diabetes and Metabolism 2.1k
- Genetics 558
- Cancer Research 398
- Epidemiology 857
- Neurology 362
Countries citing papers authored by Marily Theodoropoulou
This map shows the geographic impact of Marily Theodoropoulou'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 Marily Theodoropoulou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marily Theodoropoulou more than expected).
Fields of papers citing papers by Marily Theodoropoulou
This network shows the impact of papers produced by Marily Theodoropoulou. 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 Marily Theodoropoulou. The network helps show where Marily Theodoropoulou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marily Theodoropoulou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 17 | |
| 7 | 2023 | 7 | |
| 8 | 2022 | 23 | |
| 9 | 2019 | 25 | |
| 10 | 2016 | 14 | |
| 11 | Mutations in the deubiquitinase gene USP8 cause Cushing's diseasebreakdown → | 2014 | 405 |
| 12 | 2012 | 1 | |
| 13 | 2011 | 36 | |
| 14 | The dual PI3K/mTOR inhibitor NVP-BEZ235 has a potent antiproliferative action in human nonfunctioning pituitary adenomas | 2011 | 1 |
| 15 | 2011 | 34 | |
| 16 | 2010 | 132 | |
| 17 | Factors associated with AIP expression in somatotropinomas and the possible influence of somatostatin analogues | 2010 | 0 |
| 18 | 2010 | 45 | |
| 19 | 2009 | 46 | |
| 20 | 2007 | 11 |
About Marily Theodoropoulou
Marily Theodoropoulou is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Behavioral Neuroscience, having authored 99 papers that have together received 3.6k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (56 papers), Adrenal and Paraganglionic Tumors (22 papers), Growth Hormone and Insulin-like Growth Factors (19 papers), Neuroendocrine Tumor Research Advances (19 papers), Glioma Diagnosis and Treatment (12 papers), PI3K/AKT/mTOR signaling in cancer (10 papers), Neuroblastoma Research and Treatments (10 papers) and Cancer, Hypoxia, and Metabolism (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.1k citations), Genetics (558 citations) and Cancer Research (398 citations). Marily Theodoropoulou has collaborated with scholars based in Germany, Italy and France. Frequent co-authors include Günter K. Stalla, Marcelo Páez-Pereda, Marco Losa, Uberto Pagotto, Martín Reincke, Johanna Stalla, Eduardo Arzt, Michael Buchfelder, Wolfgang Saeger and Ulrich Renner. Their work appears in journals such as Journal of Clinical Investigation, Nature Genetics and PLoS ONE.
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.