Antonio Pacilli
Impact in
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
- Gout, Hyperuricemia, Uric Acid
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- Diabetes Treatment and Management
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Management and Research
Papers in
-
- Gout, Hyperuricemia, Uric Acid 3
- Chronic Kidney Disease and Diabetes 2
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- Diabetes Treatment and Management 2
- Diabetes Management and Research 1
- Co-authors
- Salvatore De Cosmo (17 shared papers)Carlo Giorda (7 shared papers)Francesca Viazzi (7 shared papers)Roberto Pontremoli (7 shared papers)Giuseppina Russo (6 shared papers)Antonio Ceriello (5 shared papers)Pietro Guida (5 shared papers)Paola Fioretto (5 shared papers)
In The Last Decade
Antonio Pacilli
15 papers receiving 667 citations
Peers
Comparison fields: 5 of 66
- Nephrology 305
- Endocrinology, Diabetes and Metabolism 209
- Pathology and Forensic Medicine 40
- Epidemiology 62
- Cardiology and Cardiovascular Medicine 40
Countries citing papers authored by Antonio Pacilli
This map shows the geographic impact of Antonio Pacilli'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 Antonio Pacilli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Pacilli more than expected).
Fields of papers citing papers by Antonio Pacilli
This network shows the impact of papers produced by Antonio Pacilli. 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 Antonio Pacilli. The network helps show where Antonio Pacilli may publish in the future.
Co-authors
The 25 scholars most cited alongside Antonio Pacilli, 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 | 2015 | 140 | |
| 2 | 2016 | 123 | |
| 3 | 2017 | 87 | |
| 4 | 2017 | 73 | |
| 5 | 2013 | 53 | |
| 6 | 2016 | 47 | |
| 7 | 2015 | 36 | |
| 8 | 2016 | 32 | |
| 9 | 2019 | 25 | |
| 10 | 2017 | 25 | |
| 11 | 2013 | 23 | |
| 12 | 2010 | 7 | |
| 13 | 2015 | 3 | |
| 14 | 2016 | 2 | |
| 15 | 2015 | 1 | |
| 16 | 2016 | 0 | |
| 17 | Ipoglicemia nel paziente diabetico anziano fragile | 2015 | 0 |
About Antonio Pacilli
Antonio Pacilli is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Molecular Biology, Neurology and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 677 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Diabetes Treatment and Management (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Blood properties and coagulation (1 paper), Diabetes Management and Research (1 paper), Cardiovascular Health and Disease Prevention (1 paper) and Technology Use by Older Adults (1 paper). The work is most often cited by research in Nephrology (305 citations), Endocrinology, Diabetes and Metabolism (209 citations), Pathology and Forensic Medicine (40 citations), Epidemiology (62 citations) and Cardiology and Cardiovascular Medicine (40 citations). Antonio Pacilli has collaborated with scholars based in Italy, Spain and Australia. Frequent co-authors include Salvatore De Cosmo, Carlo Giorda, Francesca Viazzi, Roberto Pontremoli, Giuseppina Russo, Antonio Ceriello, Pietro Guida, Paola Fioretto, Maria Chiara Rossi and Antonio Nicolucci. Their work appears in journals such as Diabetes Care, Atherosclerosis, PLoS ONE, Acta Diabetologica and Cochrane Database of Systematic Reviews.
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.