V. Cacciatori
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- Diabetes Treatment and Management 8
- Diabetes, Cardiovascular Risks, and Lipoproteins 5
- Diabetes Management and Research 4
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- Heart Rate Variability and Autonomic Control 7
- Physiology top 5%
- Diet and metabolism studies 4
- Endocrine and Autonomic Systems top 10%
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- Metabolism, Diabetes, and Cancer 9
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- Pancreatic function and diabetes 5
- Cardiovascular Syncope and Autonomic Disorders 4
- Co-authors
- Michele MuggeoEnzo BonoraPaolo MoghettiGiovanni TargherGiacomo ZoppiniM. QuerenaM. CigoliniCarlo Zancanaro
- Journals
- Diabetes Care (4 papers)Nutrition Metabolism and Cardiovascular Diseases (3 papers)Diabetic Medicine (2 papers)
- Partner nations
- ItalyAustraliaUnited Kingdom
In The Last Decade
V. Cacciatori
35 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Endocrinology, Diabetes and Metabolism 882
- Cardiology and Cardiovascular Medicine 543
- Physiology 520
- Complementary and alternative medicine 151
- Endocrine and Autonomic Systems 105
Countries citing papers authored by V. Cacciatori
This map shows the geographic impact of V. Cacciatori'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 V. Cacciatori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Cacciatori more than expected).
Fields of papers citing papers by V. Cacciatori
This network shows the impact of papers produced by V. Cacciatori. 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 V. Cacciatori. The network helps show where V. Cacciatori may publish in the future.
Co-authorship network
The 25 scholars most cited alongside V. Cacciatori, 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 | 2022 | 3 | |
| 2 | 2021 | 5 | |
| 3 | 2020 | 55 | |
| 4 | 2018 | 33 | |
| 5 | 2017 | 52 | |
| 6 | 2015 | 65 | |
| 7 | 2015 | 59 | |
| 8 | 2013 | 49 | |
| 9 | 2007 | 49 | |
| 10 | 2006 | 124 | |
| 11 | 1997 | 19 | |
| 12 | 1996 | 35 | |
| 13 | 1995 | 122 | |
| 14 | 1995 | 16 | |
| 15 | 1993 | 12 | |
| 16 | 1992 | 31 | |
| 17 | 1992 | 12 | |
| 18 | 1990 | 3 | |
| 19 | 1990 | 3 | |
| 20 | 1990 | 8 |
About V. Cacciatori
V. Cacciatori is a scholar working on Endocrinology, Diabetes and Metabolism, Complementary and alternative medicine and Cardiology and Cardiovascular Medicine, having authored 36 papers that have together received 2.0k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (9 papers), Diabetes Treatment and Management (8 papers), Heart Rate Variability and Autonomic Control (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Pancreatic function and diabetes (5 papers), Cardiovascular Syncope and Autonomic Disorders (4 papers), Diet and metabolism studies (4 papers) and Diabetes Management and Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (882 citations), Cardiology and Cardiovascular Medicine (543 citations) and Physiology (520 citations). V. Cacciatori has collaborated with scholars based in Italy, Australia and United Kingdom. Frequent co-authors include Michele Muggeo, Enzo Bonora, Paolo Moghetti, Giovanni Targher, Giacomo Zoppini, M. Querena, M. Cigolini, Carlo Zancanaro, A. Corgnati and Lorenza Santi. Their work appears in journals such as Diabetes Care, Nutrition Metabolism and Cardiovascular Diseases, Diabetic Medicine, The Journal of Clinical Endocrinology & Metabolism and BMJ Open Diabetes Research & Care.
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.