Chiara Pecchioli
Impact in
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
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- Metabolism and Genetic Disorders
Papers in
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- Diabetic Foot Ulcer Assessment and Management 2
- Diabetes Management and Research 1
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- Metabolomics and Mass Spectrometry Studies 2
- Co-authors
- Stefano Rizza (12 shared papers)Massimo Federici (11 shared papers)Ottavia Porzio (9 shared papers)Giovanni Di Cola (5 shared papers)Massimiliano Copetti (4 shared papers)Fabio Pellegrini (3 shared papers)Marina Cardellini (10 shared papers)Maria Assunta Cianfarani (1 shared paper)
- Journals
- Atherosclerosis (6 papers)Acta Diabetologica (4 papers)Journal of Clinical Medicine (2 papers)Diabetes and Vascular Disease Research (1 paper)Neuroendocrinology (1 paper)
- Partner nations
- ItalyGermanyUnited Kingdom
In The Last Decade
Chiara Pecchioli
15 papers receiving 368 citations
Peers
Comparison fields: 5 of 70
- Endocrine and Autonomic Systems 60
- Clinical Biochemistry 22
- Physiology 68
- Rehabilitation 17
- Nutrition and Dietetics 40
Countries citing papers authored by Chiara Pecchioli
This map shows the geographic impact of Chiara Pecchioli'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 Chiara Pecchioli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Pecchioli more than expected).
Fields of papers citing papers by Chiara Pecchioli
This network shows the impact of papers produced by Chiara Pecchioli. 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 Chiara Pecchioli. The network helps show where Chiara Pecchioli may publish in the future.
Co-authors
The 25 scholars most cited alongside Chiara Pecchioli, 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 | 2013 | 133 | |
| 2 | 2005 | 72 | |
| 3 | 2013 | 31 | |
| 4 | 2010 | 31 | |
| 5 | 2015 | 31 | |
| 6 | 2017 | 30 | |
| 7 | 2010 | 15 | |
| 8 | 2021 | 8 | |
| 9 | 2018 | 7 | |
| 10 | 2023 | 5 | |
| 11 | 2012 | 5 | |
| 12 | 2024 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2015 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2025 | 0 |
About Chiara Pecchioli
Chiara Pecchioli is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cardiology and Cardiovascular Medicine, Rehabilitation and Physiology, having authored 16 papers that have together received 374 indexed citations. Recurring topics across this work include Wound Healing and Treatments (2 papers), Diabetes and associated disorders (2 papers), Heart Rate Variability and Autonomic Control (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Diabetic Foot Ulcer Assessment and Management (2 papers), Diabetes Management and Research (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Pain Management and Treatment (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (60 citations), Clinical Biochemistry (22 citations), Physiology (68 citations), Rehabilitation (17 citations) and Nutrition and Dietetics (40 citations). Chiara Pecchioli has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Stefano Rizza, Massimo Federici, Ottavia Porzio, Giovanni Di Cola, Massimiliano Copetti, Fabio Pellegrini, Marina Cardellini, Maria Assunta Cianfarani, Andrea Urbani and Mirco Zucchelli. Their work appears in journals such as Atherosclerosis, Acta Diabetologica, Journal of Clinical Medicine, Diabetes and Vascular Disease Research and Neuroendocrinology.
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.