Gabriele Catalano
- Surgery
- Hepatology top 5%
- Epidemiology
- Transplantation top 5%
- Infectious Diseases
- Co-authors
- Franco FilipponiGíanni BiancofioreFranco MoscaMaria BindiLucio UrbaniRubia BaldassarriAnna Maria RomanelliPaolo De Simone
- Topics
- Organ Transplantation Techniques and Outcomes (13 papers)Liver Disease and Transplantation (9 papers)Renal Transplantation Outcomes and Treatments (7 papers)
- Partner nations
- ItalySwitzerlandSpain
In The Last Decade
Gabriele Catalano
19 papers receiving 277 citations
Peers
Comparison fields: 5 of 39
- Surgery 147
- Hepatology 119
- Epidemiology 106
- Transplantation 87
- Infectious Diseases 76
Countries citing papers authored by Gabriele Catalano
This map shows the geographic impact of Gabriele Catalano'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 Gabriele Catalano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriele Catalano more than expected).
Fields of papers citing papers by Gabriele Catalano
This network shows the impact of papers produced by Gabriele Catalano. 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 Gabriele Catalano. The network helps show where Gabriele Catalano may publish in the future.
Co-authorship network of co-authors of Gabriele Catalano
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Catalano. A scholar is included among the top collaborators of Gabriele Catalano 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 Gabriele Catalano. Gabriele Catalano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 7 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 7 | |
| 9 | 36 | |
| 10 | 18 | |
| 11 | 17 | |
| 12 | L'impiego del MELD (Model for End-Stage Liver Disease) nel trapianto di fegato | 1 |
| 13 | 25 | |
| 14 | 31 | |
| 15 | Transplantation of a ninety-three-year-old donor liver. Case report. | 6 |
| 16 | Changing typology of brain death liver donors: characteristics and impact of risk factors on short-term outcome. | 3 |
| 17 | 21 | |
| 18 | 42 | |
| 19 | 42 | |
| 20 | 0 |
About Gabriele Catalano
Gabriele Catalano is a scholar working on Transplantation, Hepatology and Critical Care and Intensive Care Medicine, having authored 20 papers that have together received 284 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (13 papers), Liver Disease and Transplantation (9 papers) and Renal Transplantation Outcomes and Treatments (7 papers). The work is most often cited by research in Transplantation (87 citations), Hepatology (119 citations) and Infectious Diseases (76 citations). Gabriele Catalano has collaborated with scholars based in Italy, Switzerland and Spain. Frequent co-authors include Franco Filipponi, Gíanni Biancofiore, Franco Mosca, Maria Bindi, Lucio Urbani, Rubia Baldassarri, Anna Maria Romanelli, Paolo De Simone, Stefania Petruccelli and Carlo Tascini. Their work appears in journals such as Transplantation, American Journal of Transplantation and Surgery.
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.