Agnese Allora
Impact in
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- Pituitary Gland Disorders and Treatments
- Adrenal Hormones and Disorders
- Growth Hormone and Insulin-like Growth Factors
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- Long-Term Effects of COVID-19
Papers in
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- Pituitary Gland Disorders and Treatments 4
- Adrenal Hormones and Disorders 4
- Growth Hormone and Insulin-like Growth Factors 3
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- COVID-19 Clinical Research Studies 4
- Co-authors
- Luigi di Filippo (12 shared papers)Stefano Frara (9 shared papers)Andrea Giustina (10 shared papers)Paola Loli (3 shared papers)Andrea Giustina (1 shared paper)Patrizia Rovere‐Querini (4 shared papers)Massimo Locatelli (4 shared papers)Anna Maria Formenti (3 shared papers)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (3 papers)Reviews in Endocrine and Metabolic Disorders (2 papers)European Journal of Public Health (1 paper)Pituitary (1 paper)Vaccines (1 paper)
- Partner nations
- ItalyUnited States
In The Last Decade
Agnese Allora
15 papers receiving 282 citations
Peers
Comparison fields: 5 of 49
- Endocrinology, Diabetes and Metabolism 119
- Neurology 82
- Infectious Diseases 88
- Pathology and Forensic Medicine 64
- Critical Care and Intensive Care Medicine 16
Countries citing papers authored by Agnese Allora
This map shows the geographic impact of Agnese Allora'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 Agnese Allora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Agnese Allora more than expected).
Fields of papers citing papers by Agnese Allora
This network shows the impact of papers produced by Agnese Allora. 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 Agnese Allora. The network helps show where Agnese Allora may publish in the future.
Co-authors
The 25 scholars most cited alongside Agnese Allora, 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 | 2021 | 68 | |
| 2 | 2021 | 39 | |
| 3 | 2021 | 32 | |
| 4 | 2021 | 29 | |
| 5 | 2021 | 25 | |
| 6 | 2023 | 20 | |
| 7 | 2022 | 14 | |
| 8 | 2019 | 13 | |
| 9 | 2022 | 13 | |
| 10 | 2023 | 13 | |
| 11 | 2020 | 9 | |
| 12 | 2021 | 7 | |
| 13 | 2020 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 2021 | 1 | |
| 16 | 2025 | 0 |
About Agnese Allora
Agnese Allora is a scholar working on Endocrinology, Diabetes and Metabolism, Infectious Diseases, Pathology and Forensic Medicine, Genetics and Surgery, having authored 16 papers that have together received 288 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (4 papers), Vitamin D Research Studies (4 papers), Adrenal Hormones and Disorders (4 papers), COVID-19 Clinical Research Studies (4 papers), Long-Term Effects of COVID-19 (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Diabetes and associated disorders (3 papers) and Thyroid and Parathyroid Surgery (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (119 citations), Neurology (82 citations), Infectious Diseases (88 citations), Pathology and Forensic Medicine (64 citations) and Critical Care and Intensive Care Medicine (16 citations). Agnese Allora has collaborated with scholars based in Italy and United States. Frequent co-authors include Luigi di Filippo, Stefano Frara, Andrea Giustina, Paola Loli, Andrea Giustina, Patrizia Rovere‐Querini, Massimo Locatelli, Anna Maria Formenti, Mauro Doga and Pietro Mortini. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Reviews in Endocrine and Metabolic Disorders, European Journal of Public Health, Pituitary and Vaccines.
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.