Fabio Maino
Impact in
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- Thyroid Cancer Diagnosis and Treatment
- Thyroid Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
- Anatomy top 5%
Papers in
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- Thyroid Cancer Diagnosis and Treatment 28
- Thyroid Disorders and Treatments 6
- Growth Hormone and Insulin-like Growth Factors 3
- Surgery 12
- Thyroid and Parathyroid Surgery 9
- Head and Neck Anomalies 5
- Co-authors
- Maria Grazia Castagna (32 shared papers)Furio Pacini (16 shared papers)Gabriele Cevenini (5 shared papers)A. Theodoropoulou (2 shared papers)Silvia Cantara (16 shared papers)Carlotta Marzocchi (5 shared papers)Tania Pilli (16 shared papers)Tommaso Porcelli (1 shared paper)
In The Last Decade
Fabio Maino
32 papers receiving 637 citations
Peers
Comparison fields: 5 of 56
- Endocrinology, Diabetes and Metabolism 601
- Anatomy 13
- Surgery 268
- Genetics 124
- Radiology, Nuclear Medicine and Imaging 87
Countries citing papers authored by Fabio Maino
This map shows the geographic impact of Fabio Maino'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 Fabio Maino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Maino more than expected).
Fields of papers citing papers by Fabio Maino
This network shows the impact of papers produced by Fabio Maino. 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 Fabio Maino. The network helps show where Fabio Maino may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabio Maino, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 215 | |
| 2 | 2017 | 96 | |
| 3 | 2013 | 67 | |
| 4 | 2015 | 34 | |
| 5 | 2014 | 33 | |
| 6 | 2020 | 26 | |
| 7 | 2016 | 24 | |
| 8 | 2018 | 22 | |
| 9 | 2018 | 16 | |
| 10 | 2022 | 14 | |
| 11 | 2018 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2020 | 8 | |
| 14 | 2019 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2017 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2018 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2021 | 5 |
About Fabio Maino
Fabio Maino is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 657 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (28 papers), Thyroid and Parathyroid Surgery (9 papers), Thyroid Disorders and Treatments (6 papers), BRCA gene mutations in cancer (5 papers), Head and Neck Anomalies (5 papers), Neuroendocrine Tumor Research Advances (5 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (601 citations), Anatomy (13 citations), Surgery (268 citations), Genetics (124 citations) and Radiology, Nuclear Medicine and Imaging (87 citations). Fabio Maino has collaborated with scholars based in Italy and Germany. Frequent co-authors include Maria Grazia Castagna, Furio Pacini, Gabriele Cevenini, A. Theodoropoulou, Silvia Cantara, Carlotta Marzocchi, Tania Pilli, Tommaso Porcelli, Domenico Salvatore and Monica Dentice. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, European Thyroid Journal, Frontiers in Endocrinology and Journal of Clinical Medicine.
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.