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
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 8
- Diabetes Treatment and Management 8
- Diabetes Management and Research 5
- Diabetes Management and Education 2
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- Chronic Kidney Disease and Diabetes 4
- Gout, Hyperuricemia, Uric Acid 2
- Co-authors
- Salvatore De Cosmo (16 shared papers)Carlo Giorda (7 shared papers)Roberto Pontremoli (7 shared papers)Giuseppina Russo (7 shared papers)Francesca Viazzi (7 shared papers)Antonio Ceriello (5 shared papers)Pietro Guida (5 shared papers)Paola Fioretto (5 shared papers)
In The Last Decade
Antonio Pacilli
14 papers receiving 647 citations
Peers
Comparison fields: 5 of 71
- Nephrology 331
- Endocrinology, Diabetes and Metabolism 363
- Pathology and Forensic Medicine 89
- Epidemiology 147
- Cardiology and Cardiovascular Medicine 86
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 | 137 | |
| 2 | 2016 | 115 | |
| 3 | 2017 | 86 | |
| 4 | 2017 | 72 | |
| 5 | 2013 | 53 | |
| 6 | 2016 | 45 | |
| 7 | 2015 | 36 | |
| 8 | 2016 | 28 | |
| 9 | 2017 | 25 | |
| 10 | 2019 | 25 | |
| 11 | 2013 | 22 | |
| 12 | 2010 | 7 | |
| 13 | 2015 | 3 | |
| 14 | 2016 | 2 | |
| 15 | 2016 | 0 | |
| 16 | Ipoglicemia nel paziente diabetico anziano fragile | 2015 | 0 |
About Antonio Pacilli
Antonio Pacilli is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Epidemiology, Molecular Biology and Surgery, having authored 16 papers that have together received 656 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Diabetes Treatment and Management (8 papers), Diabetes Management and Research (5 papers), Chronic Kidney Disease and Diabetes (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Diabetes Management and Education (2 papers) and Gout, Hyperuricemia, Uric Acid (2 papers). The work is most often cited by research in Nephrology (331 citations), Endocrinology, Diabetes and Metabolism (363 citations), Pathology and Forensic Medicine (89 citations), Epidemiology (147 citations) and Cardiology and Cardiovascular Medicine (86 citations). Antonio Pacilli has collaborated with scholars based in Italy, Spain and Australia. Frequent co-authors include Salvatore De Cosmo, Carlo Giorda, Roberto Pontremoli, Giuseppina Russo, Francesca Viazzi, Antonio Ceriello, Pietro Guida, Paola Fioretto, Maria Chiara Rossi and Antonio Nicolucci. Their work appears in journals such as Diabetes Care, Atherosclerosis, Journal of Nephrology, Clinical Journal of the American Society of Nephrology and Diabetes Obesity and Metabolism.
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.