Francesco Latrofa
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- Thyroid Disorders and Treatments 51
- Thyroid Cancer Diagnosis and Treatment 33
- Pituitary Gland Disorders and Treatments 16
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- Ophthalmology and Eye Disorders 28
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies 6
- Neurology top 5%
- Immunology top 5%
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- Monoclonal and Polyclonal Antibodies Research 9
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- Neuroendocrine Tumor Research Advances 9
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- Erythrocyte Function and Pathophysiology 6
- Co-authors
- Paolo VittiBasil RapoportSandra M. McLachlanLuca ChiovatoDebora RicciChun‐Rong ChenPavel N. PichurinAlessandro Brancatella
- Journals
- Journal of Clinical Investigation (5 papers)Annals of Internal Medicine (1 paper)The Journal of Clinical Endocrinology & Metabolism (21 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Francesco Latrofa
91 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 103
- Endocrinology, Diabetes and Metabolism 2.6k
- Pathology and Forensic Medicine 1.0k
- Infectious Diseases 519
- Neurology 338
- Immunology 465
Countries citing papers authored by Francesco Latrofa
This map shows the geographic impact of Francesco Latrofa'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 Francesco Latrofa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Latrofa more than expected).
Fields of papers citing papers by Francesco Latrofa
This network shows the impact of papers produced by Francesco Latrofa. 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 Francesco Latrofa. The network helps show where Francesco Latrofa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Francesco Latrofa, 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 | 2 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 10 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2020 | 21 | |
| 7 | 2019 | 39 | |
| 8 | 2019 | 46 | |
| 9 | 2016 | 8 | |
| 10 | 2016 | 15 | |
| 11 | 2015 | 26 | |
| 12 | 2015 | 29 | |
| 13 | 2014 | 31 | |
| 14 | 2014 | 15 | |
| 15 | 2013 | 83 | |
| 16 | 2012 | 61 | |
| 17 | 2009 | 2 | |
| 18 | 2009 | 19 | |
| 19 | 2002 | 115 | |
| 20 | 2002 | 90 |
About Francesco Latrofa
Francesco Latrofa is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Health Informatics, having authored 94 papers that have together received 3.6k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (51 papers), Thyroid Cancer Diagnosis and Treatment (33 papers), Ophthalmology and Eye Disorders (28 papers), Pituitary Gland Disorders and Treatments (16 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Neuroendocrine Tumor Research Advances (9 papers), Erythrocyte Function and Pathophysiology (6 papers) and COVID-19 Clinical Research Studies (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.6k citations), Pathology and Forensic Medicine (1.0k citations) and Infectious Diseases (519 citations). Francesco Latrofa has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Paolo Vitti, Basil Rapoport, Sandra M. McLachlan, Luca Chiovato, Debora Ricci, Chun‐Rong Chen, Pavel N. Pichurin, Alessandro Brancatella, Aldo Pinchera and Nicola Viola. Their work appears in journals such as Journal of Clinical Investigation, Annals of Internal Medicine and The Journal of Clinical Endocrinology & Metabolism.
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.