Chiara Pecchioli

464 citations
16 papers · 369 · h-index 8

Impact in

Papers in

Chiara Pecchioli

15 papers receiving 363 citations

Peers

Chiara Pecchioli
Comparison fields: 5 of 72
  • Endocrine and Autonomic Systems 65
  • Clinical Biochemistry 28
  • Physiology 100
  • Endocrinology, Diabetes and Metabolism 61
  • Rehabilitation 25
Replace Katarzyna Musialik with:
Katarzyna Musialik Poland
Roman Trepp Switzerland
Yunuen Quintero Spain
J. Drápalová Czechia
Xingbo Cheng China
Maria Grazia Farina Italy
Natalia Matulewicz Poland
Ruben Pipek United States
Sébastien Thalmann Switzerland
Rosa Falcón Spain
Chiara Pecchioli relative to Katarzyna Musialik Poland Katarzyna Musialik's profile →
Citations per field
00.5×4.1×
Katarzyna Musialik · 1×
Citations per year

Countries citing papers authored by Chiara Pecchioli

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Chiara Pecchioli Line = papers co-authored together Chiara Pecchioli links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2013133
2 200571
3 201331
4 201531
5 201030
6 201728
7 201015
8 20218
9 20187
10 20125
11 20235
12 20232
13 20151
14 20181
15 20241
16 20250

About Chiara Pecchioli

Chiara Pecchioli is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Physiology, Molecular Biology and Rehabilitation, having authored 16 papers that have together received 369 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (3 papers), Diet and metabolism studies (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Diabetic Foot Ulcer Assessment and Management (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Diabetes and associated disorders (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Wound Healing and Treatments (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (65 citations), Clinical Biochemistry (28 citations), Physiology (100 citations), Endocrinology, Diabetes and Metabolism (61 citations) and Rehabilitation (25 citations). Chiara Pecchioli has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Stefano Rizza, Ottavia Porzio, Massimo Federici, Giovanni Di Cola, Fabio Pellegrini, Massimiliano Copetti, Marina Cardellini, Cláudia Rossi, Andrea Urbani and Maria Assunta Cianfarani. Their work appears in journals such as Atherosclerosis, Acta Diabetologica, Journal of Clinical Medicine, Diabetes and Vascular Disease Research and Aging and Disease.

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.

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