Laura Cortesi
Impact in
- Cancer Research top 2%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Oncology top 2%
- PARP inhibition in cancer therapy
- Global Cancer Incidence and Screening
Papers in
- Co-authors
- Angela Toss (58 shared papers)Massimo Federico (36 shared papers)Hope S. Rugo (1 shared paper)Christian Jackisch (1 shared paper)Giovanni Grandi (19 shared papers)Alessandro Nobili (22 shared papers)Angelo Cagnacci (6 shared papers)Mauro Tettamanti (19 shared papers)
- Journals
- Cancers (6 papers)BMC Cancer (6 papers)The Breast (6 papers)Journal of Clinical Oncology (6 papers)European Journal of Cancer (6 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Laura Cortesi
166 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Cancer Research 712
- Oncology 1.0k
- Geriatrics and Gerontology 144
- Reproductive Medicine 300
- Genetics 885
Countries citing papers authored by Laura Cortesi
This map shows the geographic impact of Laura Cortesi'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 Laura Cortesi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Cortesi more than expected).
Fields of papers citing papers by Laura Cortesi
This network shows the impact of papers produced by Laura Cortesi. 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 Laura Cortesi. The network helps show where Laura Cortesi may publish in the future.
Co-authors
The 25 scholars most cited alongside Laura Cortesi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 172 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 260 | |
| 2 | An Overview of PARP Inhibitors for the Treatment of Breast Cancer Hit paper breakdown → | 2021 | 241 |
| 3 | 2015 | 160 | |
| 4 | 2011 | 65 | |
| 5 | 2021 | 64 | |
| 6 | 2015 | 60 | |
| 7 | 2018 | 56 | |
| 8 | 2018 | 50 | |
| 9 | 2006 | 47 | |
| 10 | 2016 | 43 | |
| 11 | 2018 | 43 | |
| 12 | 2012 | 42 | |
| 13 | 2004 | 41 | |
| 14 | 2006 | 39 | |
| 15 | 2009 | 39 | |
| 16 | 2011 | 37 | |
| 17 | 2007 | 36 | |
| 18 | 2009 | 34 | |
| 19 | 2017 | 32 | |
| 20 | 2010 | 32 |
About Laura Cortesi
Laura Cortesi is a scholar working on Genetics, Oncology, Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 172 papers that have together received 2.9k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (63 papers), Breast Cancer Treatment Studies (30 papers), Cancer Genomics and Diagnostics (27 papers), Advanced Breast Cancer Therapies (23 papers), Ovarian cancer diagnosis and treatment (18 papers), PARP inhibition in cancer therapy (17 papers), HER2/EGFR in Cancer Research (14 papers) and DNA Repair Mechanisms (13 papers). The work is most often cited by research in Cancer Research (712 citations), Oncology (1.0k citations), Geriatrics and Gerontology (144 citations), Reproductive Medicine (300 citations) and Genetics (885 citations). Laura Cortesi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Angela Toss, Massimo Federico, Hope S. Rugo, Christian Jackisch, Giovanni Grandi, Alessandro Nobili, Angelo Cagnacci, Mauro Tettamanti, Elisabetta Razzaboni and Elisabetta De Matteis. Their work appears in journals such as Cancers, BMC Cancer, The Breast, Journal of Clinical Oncology and European Journal of Cancer.
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.