Benedetta Mazzinghi
- Immunology top 0.5%
- Molecular Biology top 2%
- Genetics top 0.5%
- Oncology top 2%
- Surgery top 2%
- Co-authors
- Paola RomagnaniSergio RomagnaniEnrico MaggiFrancesco AnnunziatoLorenzo CosmiFrancesco LiottaElena LazzeriVeronica Santarlasci
- Topics
- Renal Diseases and Glomerulopathies (19 papers)Renal and related cancers (17 papers)Chemokine receptors and signaling (7 papers)
- Cited by
- NephrologyGeneticsImmunology
In The Last Decade
Benedetta Mazzinghi
52 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Immunology 2.9k
- Molecular Biology 2.6k
- Genetics 1.5k
- Oncology 1.3k
- Surgery 1.3k
Countries citing papers authored by Benedetta Mazzinghi
This map shows the geographic impact of Benedetta Mazzinghi'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 Benedetta Mazzinghi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benedetta Mazzinghi more than expected).
Fields of papers citing papers by Benedetta Mazzinghi
This network shows the impact of papers produced by Benedetta Mazzinghi. 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 Benedetta Mazzinghi. The network helps show where Benedetta Mazzinghi may publish in the future.
Co-authorship network of co-authors of Benedetta Mazzinghi
This figure shows the co-authorship network connecting the top 25 collaborators of Benedetta Mazzinghi. A scholar is included among the top collaborators of Benedetta Mazzinghi 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 Benedetta Mazzinghi. Benedetta Mazzinghi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 11 | |
| 3 | 11 | |
| 4 | 3 | |
| 5 | 67 | |
| 6 | Heterogeneous Genetic Alterations Predict Resistance To Immunosuppressive Treatments In Sporadic Steroid-resistant Nephrotic Syndrome. | 3 |
| 7 | 17 | |
| 8 | 79 | |
| 9 | 18 | |
| 10 | 11 | |
| 11 | 138 | |
| 12 | 222 | |
| 13 | 394 | |
| 14 | 32 | |
| 15 | 6 | |
| 16 | 36 | |
| 17 | 0 | |
| 18 | Isolation and Characterization of Multipotent Progenitor Cells from the Bowman’s Capsule of Adult Human Kidneysbreakdown → | 549 |
| 19 | 191 | |
| 20 | An Alternatively Spliced Variant of CXCR3 Mediates the Inhibition of Endothelial Cell Growth Induced by IP-10, Mig, and I-TAC, and Acts as Functional Receptor for Platelet Factor 4breakdown → | 581 |
About Benedetta Mazzinghi
Benedetta Mazzinghi is a scholar working on Nephrology, Transplantation and Immunology, having authored 55 papers that have together received 7.4k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (19 papers), Renal and related cancers (17 papers) and Chemokine receptors and signaling (7 papers). The work is most often cited by research in Nephrology (1.0k citations), Genetics (1.5k citations) and Immunology (2.9k citations). Benedetta Mazzinghi has collaborated with scholars based in Italy, Germany and Spain. Frequent co-authors include Paola Romagnani, Sergio Romagnani, Enrico Maggi, Francesco Annunziato, Lorenzo Cosmi, Francesco Liotta, Elena Lazzeri, Veronica Santarlasci, Laura Lasagni and Eliana Parente. Their work appears in journals such as The Journal of Experimental Medicine, Blood and Circulation Research.
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.