Massimo Buscema
Impact in
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- Thyroid Disorders and Treatments
- Health Informatics top 5%
Papers in
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- Neural Networks and Applications 30
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- Metabolism, Diabetes, and Cancer 9
- Co-authors
- Enzo Grossi (77 shared papers)Pier Luigi Sacco (22 shared papers)Paola Rossetti (7 shared papers)Antonio Simone Laganà (6 shared papers)Riccardo Vigneri (18 shared papers)Salvatore Giovanni Vitale (6 shared papers)Marco Intraligi (20 shared papers)Agnese Maria Chiara Rapisarda (5 shared papers)
- Journals
- Substance Use & Misuse (17 papers)Diabetologia (7 papers)Artificial Intelligence in Medicine (4 papers)Quality & Quantity (4 papers)Journal of Autoimmunity (4 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Massimo Buscema
197 papers receiving 4.8k citations
Massimo Buscema's Hit Papers
Peers
Comparison fields: 5 of 211
- Endocrinology, Diabetes and Metabolism 479
- Health Informatics 36
- Cognitive Neuroscience 480
- Reproductive Medicine 176
- Psychiatry and Mental health 287
Countries citing papers authored by Massimo Buscema
This map shows the geographic impact of Massimo Buscema'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 Massimo Buscema with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Buscema more than expected).
Fields of papers citing papers by Massimo Buscema
This network shows the impact of papers produced by Massimo Buscema. 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 Massimo Buscema. The network helps show where Massimo Buscema may publish in the future.
Co-authors
The 25 scholars most cited alongside Massimo Buscema, 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 208 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Vitamin B12 among Vegetarians: Status, Assessment and Supplementation Hit paper breakdown → | 2016 | 278 |
| 2 | 2007 | 248 | |
| 3 | 2014 | 235 | |
| 4 | 1998 | 235 | |
| 5 | 2012 | 166 | |
| 6 | 2011 | 114 | |
| 7 | 2003 | 113 | |
| 8 | 2017 | 105 | |
| 9 | 2016 | 101 | |
| 10 | 1989 | 98 | |
| 11 | 2016 | 93 | |
| 12 | 2008 | 84 | |
| 13 | 2016 | 84 | |
| 14 | 2008 | 82 | |
| 15 | 2008 | 73 | |
| 16 | 2014 | 72 | |
| 17 | 2004 | 69 | |
| 18 | 2016 | 67 | |
| 19 | 2002 | 67 | |
| 20 | 2018 | 65 |
About Massimo Buscema
Massimo Buscema is a scholar working on Artificial Intelligence, Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism and Genetics, having authored 208 papers that have together received 5.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (30 papers), Pancreatic function and diabetes (18 papers), Diabetes and associated disorders (12 papers), Metabolism, Diabetes, and Cancer (9 papers), Dementia and Cognitive Impairment Research (7 papers), Diabetes Management and Research (7 papers), Alzheimer's disease research and treatments (7 papers) and Mental Health Research Topics (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (479 citations), Health Informatics (36 citations), Cognitive Neuroscience (480 citations), Reproductive Medicine (176 citations) and Psychiatry and Mental health (287 citations). Massimo Buscema has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Enzo Grossi, Pier Luigi Sacco, Paola Rossetti, Antonio Simone Laganà, Riccardo Vigneri, Salvatore Giovanni Vitale, Marco Intraligi, Agnese Maria Chiara Rapisarda, Paolo Maria Rossini and A. Nigro. Their work appears in journals such as Substance Use & Misuse, Diabetologia, Artificial Intelligence in Medicine, Quality & Quantity and Journal of Autoimmunity.
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.