Massimo Buscema
Impact in
-
- Thyroid Disorders and Treatments
- Diabetes Management and Research
- Health Informatics top 5%
Papers in
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- Neural Networks and Applications 18
- Surgery 24
- Pancreatic function and diabetes 18
- Co-authors
- Enzo Grossi (69 shared papers)Paola Rossetti (7 shared papers)Riccardo Vigneri (18 shared papers)Antonio Simone Laganà (6 shared papers)Salvatore Giovanni Vitale (6 shared papers)Pier Luigi Sacco (16 shared papers)Marco Intraligi (18 shared papers)Agnese Maria Chiara Rapisarda (5 shared papers)
- Journals
- Substance Use & Misuse (17 papers)Diabetologia (7 papers)Artificial Intelligence in Medicine (4 papers)Journal of Autoimmunity (4 papers)Quality & Quantity (4 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Massimo Buscema
172 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 210
- Endocrinology, Diabetes and Metabolism 453
- Health Informatics 31
- Cognitive Neuroscience 438
- Reproductive Medicine 169
- Psychiatry and Mental health 275
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 180 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 263 | |
| 2 | 2014 | 230 | |
| 3 | 2007 | 228 | |
| 4 | 1998 | 225 | |
| 5 | 2012 | 157 | |
| 6 | 2003 | 110 | |
| 7 | 2011 | 106 | |
| 8 | 2016 | 100 | |
| 9 | 2017 | 96 | |
| 10 | 2016 | 91 | |
| 11 | 1989 | 84 | |
| 12 | 2016 | 80 | |
| 13 | 2008 | 79 | |
| 14 | 2008 | 75 | |
| 15 | 2014 | 70 | |
| 16 | 2016 | 67 | |
| 17 | 2008 | 65 | |
| 18 | 2018 | 65 | |
| 19 | 2004 | 62 | |
| 20 | 2016 | 60 |
About Massimo Buscema
Massimo Buscema is a scholar working on Artificial Intelligence, Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 180 papers that have together received 4.7k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (18 papers), Neural Networks and Applications (18 papers), Diabetes and associated disorders (11 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 (453 citations), Health Informatics (31 citations), Cognitive Neuroscience (438 citations), Reproductive Medicine (169 citations) and Psychiatry and Mental health (275 citations). Massimo Buscema has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Enzo Grossi, Paola Rossetti, Riccardo Vigneri, Antonio Simone Laganà, Salvatore Giovanni Vitale, Pier Luigi Sacco, 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, Journal of Autoimmunity and Quality & Quantity.
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.