G Buonanno
- Endocrinology, Diabetes and Metabolism top 2%
- Physiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Epidemiology
- Molecular Biology
- Co-authors
- Ivana ZavaroniL LuchettiM PasseriM. BergonzaniLuigi GnudiEnzo BonoraMonica Maria PagliaraP Bonati
- Topics
- Blood groups and transfusion (4 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers)Hemoglobinopathies and Related Disorders (3 papers)
- Partner nations
- ItalyUnited States
In The Last Decade
G Buonanno
19 papers receiving 771 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Endocrinology, Diabetes and Metabolism 454
- Physiology 201
- Cardiology and Cardiovascular Medicine 197
- Epidemiology 177
- Molecular Biology 130
Countries citing papers authored by G Buonanno
This map shows the geographic impact of G Buonanno'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 G Buonanno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Buonanno more than expected).
Fields of papers citing papers by G Buonanno
This network shows the impact of papers produced by G Buonanno. 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 G Buonanno. The network helps show where G Buonanno may publish in the future.
Co-authorship network of co-authors of G Buonanno
This figure shows the co-authorship network connecting the top 25 collaborators of G Buonanno. A scholar is included among the top collaborators of G Buonanno 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 G Buonanno. G Buonanno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 6 | |
| 3 | 17 | |
| 4 | 4 | |
| 5 | Risk Factors for Coronary Artery Disease in Healthy Persons with Hyperinsulinemia and Normal Glucose Tolerancebreakdown → | 664 |
| 6 | Risk factors for coronary artery disease in healthy persons with hyperinsulinemia and normal glucose tolerance [see comments] | 1 |
| 7 | Monocytic blast cell crisis and IgG-lambda monoclonal gammopathy in a Ph1 + chronic myelogenous leukemia. Report of a case. | 4 |
| 8 | The urinary hydroxyproline: creatinine ratio as an additional differential test between nonmyelomatous gammopathies and multiple myeloma. | 2 |
| 9 | Cold agglutinin disease and cryoglobulinemia. Report of two cases. | 1 |
| 10 | 26 | |
| 11 | 6 | |
| 12 | Desferrioxamine-induced iron outputs in Cooley's anemia. Results and perspectives. | 2 |
| 13 | 5 | |
| 14 | 10 | |
| 15 | Drug - resistant multiple myeloma. A trial with the M 2 cyclic alkylating agent polychemotherapy. | 5 |
| 16 | 21 | |
| 17 | 14 | |
| 18 | 4 | |
| 19 | 27 | |
| 20 | 1 |
About G Buonanno
G Buonanno is a scholar working on Hematology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 827 indexed citations. Recurring topics across this work include Blood groups and transfusion (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Hemoglobinopathies and Related Disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (454 citations), Cardiology and Cardiovascular Medicine (197 citations) and Physiology (201 citations). G Buonanno has collaborated with scholars based in Italy and United States. Frequent co-authors include Ivana Zavaroni, L Luchetti, M Passeri, M. Bergonzani, Luigi Gnudi, Enzo Bonora, Monica Maria Pagliara, P Bonati, Elisabetta Dall’Aglio and G. Jori. Their work appears in journals such as New England Journal of Medicine, Cancer and Gut.
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.