Giuditta Benincasa
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Cancer Research top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Claudio NapoliConcetta SchianoGelsomina MansuetoMarco SalvatoreFrancesco DonatelliGiuseppe AmbrosioEnrico CoscioniJoseph Loscalzo
- Topics
- Epigenetics and DNA Methylation (13 papers)Diabetes Treatment and Management (7 papers)COVID-19 Clinical Research Studies (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEInternational Journal of Molecular Sciences
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Giuditta Benincasa
57 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 651
- Cardiology and Cardiovascular Medicine 290
- Surgery 224
- Cancer Research 217
- Endocrinology, Diabetes and Metabolism 159
Countries citing papers authored by Giuditta Benincasa
This map shows the geographic impact of Giuditta Benincasa'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 Giuditta Benincasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuditta Benincasa more than expected).
Fields of papers citing papers by Giuditta Benincasa
This network shows the impact of papers produced by Giuditta Benincasa. 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 Giuditta Benincasa. The network helps show where Giuditta Benincasa may publish in the future.
Co-authorship network of co-authors of Giuditta Benincasa
This figure shows the co-authorship network connecting the top 25 collaborators of Giuditta Benincasa. A scholar is included among the top collaborators of Giuditta Benincasa 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 Giuditta Benincasa. Giuditta Benincasa 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 | 0 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 32 | |
| 7 | 7 | |
| 8 | 31 | |
| 9 | 32 | |
| 10 | 23 | |
| 11 | 41 | |
| 12 | 2 | |
| 13 | 49 | |
| 14 | 23 | |
| 15 | 35 | |
| 16 | 76 | |
| 17 | 31 | |
| 18 | 17 | |
| 19 | 14 | |
| 20 | 31 |
About Giuditta Benincasa
Giuditta Benincasa is a scholar working on Transplantation, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (13 papers), Diabetes Treatment and Management (7 papers) and COVID-19 Clinical Research Studies (6 papers). The work is most often cited by research in Transplantation (62 citations), Cancer Research (217 citations) and Cardiology and Cardiovascular Medicine (290 citations). Giuditta Benincasa has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Claudio Napoli, Concetta Schiano, Gelsomina Mansueto, Marco Salvatore, Francesco Donatelli, Giuseppe Ambrosio, Enrico Coscioni, Joseph Loscalzo, Giovanni Francesco Nicoletti and Dario Costa. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.
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.