Carla Di Loreto
- Molecular Biology top 2%
- Oncology top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Cancer Research top 1%
- Pathology and Forensic Medicine top 1%
- Co-authors
- Carlo Alberto BeltramiGiuseppe DamanteJan KajsturaPiero AnversaFabio PuglisiFederico QuainiEugenio QuainiJohn C. Reed
- Topics
- Breast Cancer Treatment Studies (16 papers)RNA modifications and cancer (12 papers)HER2/EGFR in Cancer Research (12 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of Clinical Oncology
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Carla Di Loreto
145 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 3.0k
- Oncology 1.3k
- Cardiology and Cardiovascular Medicine 1.1k
- Cancer Research 1.1k
- Pathology and Forensic Medicine 959
Countries citing papers authored by Carla Di Loreto
This map shows the geographic impact of Carla Di Loreto'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 Carla Di Loreto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carla Di Loreto more than expected).
Fields of papers citing papers by Carla Di Loreto
This network shows the impact of papers produced by Carla Di Loreto. 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 Carla Di Loreto. The network helps show where Carla Di Loreto may publish in the future.
Co-authorship network of co-authors of Carla Di Loreto
This figure shows the co-authorship network connecting the top 25 collaborators of Carla Di Loreto. A scholar is included among the top collaborators of Carla Di Loreto 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 Carla Di Loreto. Carla Di Loreto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 36 | |
| 5 | 17 | |
| 6 | 21 | |
| 7 | 23 | |
| 8 | 25 | |
| 9 | 35 | |
| 10 | 22 | |
| 11 | 62 | |
| 12 | 41 | |
| 13 | 145 | |
| 14 | 7 | |
| 15 | 20 | |
| 16 | 45 | |
| 17 | 6 | |
| 18 | 21 | |
| 19 | 37 | |
| 20 | 47 |
About Carla Di Loreto
Carla Di Loreto is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 150 papers that have together received 6.4k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (16 papers), RNA modifications and cancer (12 papers) and HER2/EGFR in Cancer Research (12 papers). The work is most often cited by research in Cancer Research (1.1k citations), Pathology and Forensic Medicine (959 citations) and Cardiology and Cardiovascular Medicine (1.1k citations). Carla Di Loreto has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Carlo Alberto Beltrami, Giuseppe Damante, Jan Kajstura, Piero Anversa, Fabio Puglisi, Federico Quaini, Eugenio Quaini, John C. Reed, G Olivetti and Wei Cheng. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.
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.