Paolo Poggio
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology
- Surgery top 5%
- Epidemiology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Veronika A. MyasoedovaAlexander N. OrekhovAnastasia V. PoznyakValentina AlfieriAndrey V. GrechkoGiovanni FerrariPaola SongiaRachana Sainger
- Topics
- Cardiac Valve Diseases and Treatments (40 papers)Cardiovascular Function and Risk Factors (17 papers)Infective Endocarditis Diagnosis and Management (15 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismPulmonary and Respiratory Medicine
- Journals
- The Journal of Clinical Endocrinology & MetabolismInternational Journal of Molecular SciencesEuropean Heart Journal
- Partner nations
- ItalyUnited StatesRussia
In The Last Decade
Paolo Poggio
95 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Cardiology and Cardiovascular Medicine 1.2k
- Molecular Biology 659
- Surgery 582
- Epidemiology 491
- Pulmonary and Respiratory Medicine 464
Countries citing papers authored by Paolo Poggio
This map shows the geographic impact of Paolo Poggio'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 Paolo Poggio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Poggio more than expected).
Fields of papers citing papers by Paolo Poggio
This network shows the impact of papers produced by Paolo Poggio. 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 Paolo Poggio. The network helps show where Paolo Poggio may publish in the future.
Co-authorship network of co-authors of Paolo Poggio
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Poggio. A scholar is included among the top collaborators of Paolo Poggio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paolo Poggio. Paolo Poggio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 50 | |
| 10 | 27 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 15 | |
| 14 | 41 | |
| 15 | 9 | |
| 16 | 10 | |
| 17 | 20 | |
| 18 | 26 | |
| 19 | 10 | |
| 20 | 60 |
About Paolo Poggio
Paolo Poggio is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 102 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (40 papers), Cardiovascular Function and Risk Factors (17 papers) and Infective Endocarditis Diagnosis and Management (15 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Endocrinology, Diabetes and Metabolism (364 citations) and Pulmonary and Respiratory Medicine (464 citations). Paolo Poggio has collaborated with scholars based in Italy, United States and Russia. Frequent co-authors include Veronika A. Myasoedova, Alexander N. Orekhov, Anastasia V. Poznyak, Valentina Alfieri, Andrey V. Grechko, Giovanni Ferrari, Paola Songia, Rachana Sainger, Donato Moschetta and Emanuela Branchetti. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Molecular Sciences and European Heart Journal.
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.