Agnese Latorre

1.5k total citations
51 papers, 1.0k citations indexed

About

Agnese Latorre is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Agnese Latorre has authored 51 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oncology, 15 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Cancer Research. Recurrent topics in Agnese Latorre's work include Cancer Treatment and Pharmacology (18 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Breast Cancer Treatment Studies (12 papers). Agnese Latorre is often cited by papers focused on Cancer Treatment and Pharmacology (18 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Breast Cancer Treatment Studies (12 papers). Agnese Latorre collaborates with scholars based in Italy, United States and Türkiye. Agnese Latorre's co-authors include Vito Lorusso, Michele Guida, Vito Lorusso, Angelo Paradiso, M. De Lena, Anita Mangia, Francesco Schittulli, Stefania Tommasi, Annalisa Chiriatti and Francesco Giotta and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Agnese Latorre

46 papers receiving 979 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Agnese Latorre Italy	18	429	297	277	224	180	51	1.0k
Yunn-Yi Chen United States	14	406 0.9×	377 1.3×	340 1.2×	158 0.7×	64 0.4×	20	1.2k
Trudey Nicklee Canada	15	739 1.7×	566 1.9×	334 1.2×	102 0.5×	82 0.5×	20	1.4k
Simon A. Williams United States	15	344 0.8×	526 1.8×	192 0.7×	101 0.5×	39 0.2×	26	995
Izo Kimijima Japan	16	330 0.8×	317 1.1×	272 1.0×	111 0.5×	42 0.2×	65	872
Isa Mambetsariev United States	17	370 0.9×	467 1.6×	269 1.0×	156 0.7×	43 0.2×	70	1.1k
Angel Rodriguez United States	21	770 1.8×	494 1.7×	609 2.2×	193 0.9×	37 0.2×	49	1.4k
Islam M. Miligy United Kingdom	21	506 1.2×	435 1.5×	416 1.5×	127 0.6×	116 0.6×	47	1.0k
Catherine Park United States	10	247 0.6×	281 0.9×	212 0.8×	243 1.1×	40 0.2×	27	848
Qianming Bai China	20	314 0.7×	412 1.4×	203 0.7×	183 0.8×	59 0.3×	82	1.2k
Michael S. Toss United Kingdom	25	854 2.0×	801 2.7×	698 2.5×	373 1.7×	384 2.1×	116	2.0k

Countries citing papers authored by Agnese Latorre

Since Specialization

Citations

This map shows the geographic impact of Agnese Latorre'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 Agnese Latorre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Agnese Latorre more than expected).

Fields of papers citing papers by Agnese Latorre

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Agnese Latorre. 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 Agnese Latorre. The network helps show where Agnese Latorre may publish in the future.

Co-authorship network of co-authors of Agnese Latorre

This figure shows the co-authorship network connecting the top 25 collaborators of Agnese Latorre. A scholar is included among the top collaborators of Agnese Latorre 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 Agnese Latorre. Agnese Latorre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Palma, Giuseppe De, Francesco Giotta, Agnese Latorre, et al.. (2025). Case Report: A successful multidisciplinary approach to doxorubicin extravasation from a PICC-port in a patient with breast cancer. Frontiers in Oncology. 15. 1534112–1534112.

Comes, Maria Colomba, Annarita Fanizzi, Samantha Bove, et al.. (2024). Monitoring Over Time of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Patients Through an Ensemble Vision Transformers‐Based Model. Cancer Medicine. 13(24). e70482–e70482. 1 indexed citations

Comes, Maria Colomba, Annarita Fanizzi, Samantha Bove, et al.. (2024). Explainable 3D CNN based on baseline breast DCE-MRI to give an early prediction of pathological complete response to neoadjuvant chemotherapy. Computers in Biology and Medicine. 172. 108132–108132. 8 indexed citations

Rizzo, Alessandro, L. Rinaldi, Raffaella Massafra, et al.. (2023). 412P Sacituzumab govitecan versus chemotherapy for metastatic breast cancer: A meta-analysis on safety outcomes. Annals of Oncology. 34. S356–S356. 1 indexed citations

Fanizzi, Annarita, Domenico Pomarico, Alessandro Rizzo, et al.. (2023). Machine learning survival models trained on clinical data to identify high risk patients with hormone responsive HER2 negative breast cancer. Scientific Reports. 13(1). 8575–8575. 5 indexed citations

Massafra, Raffaella, Maria Colomba Comes, Samantha Bove, et al.. (2022). A machine learning ensemble approach for 5- and 10-year breast cancer invasive disease event classification. PLoS ONE. 17(9). e0274691–e0274691. 11 indexed citations

Massafra, Raffaella, Agnese Latorre, Annarita Fanizzi, et al.. (2021). A Clinical Decision Support System for Predicting Invasive Breast Cancer Recurrence: Preliminary Results. Frontiers in Oncology. 11. 576007–576007. 28 indexed citations

Comes, Maria Colomba, Annarita Fanizzi, Samantha Bove, et al.. (2021). Early prediction of neoadjuvant chemotherapy response by exploiting a transfer learning approach on breast DCE-MRIs. Scientific Reports. 11(1). 14123–14123. 54 indexed citations

Vici, Patrizia, Giuseppe Colucci, Francesco Giotta, et al.. (2011). A multicenter prospective phase II randomized trial of epirubicin/vinorelbine versus pegylated liposomal doxorubicin/vinorelbine as first-line treatment in advanced breast cancer. A GOIM study. Journal of Experimental & Clinical Cancer Research. 30(1). 39–39. 18 indexed citations

10.

Vici, Patrizia, Francesco Giotta, Luigi Di Lauro, et al.. (2011). A Multicenter Phase II Randomized Trial of Docetaxel/Gemcitabine versus Docetaxel/Capecitabine as First-Line Treatment for Advanced Breast Cancer: A Gruppo Oncologico Italia Meridionale Study. Oncology. 81(3-4). 230–236. 7 indexed citations

11.

Tommasi, Stefania, Anita Mangia, Rosanna Lacalamita, et al.. (2007). Cytoskeleton and paclitaxel sensitivity in breast cancer: The role of β‐tubulins. International Journal of Cancer. 120(10). 2078–2085. 130 indexed citations

12.

Giotta, Francesco, Vito Lorusso, Evaristo Maiello, et al.. (2007). Liposomal-encapsulated doxorubicin plus cyclophosphamide as first-line therapy in metastatic breast cancer: a phase II multicentric study. Annals of Oncology. 18. vi66–vi69. 15 indexed citations

13.

Lorusso, Vito, Massimiliano Spada, A. Misino, et al.. (2006). Oral vinorelbine plus capecitabine (oral vincap) combination in patients with advanced breast cancer (ABC). A phase II study of the GOIM (Gruppo Oncologico dell'Italia Meridionale). Annals of Oncology. 17. vii15–vii17. 27 indexed citations

14.

Lorusso, Vito, E. Crucitta, Nicola Silvestris, et al.. (2003). Phase I/II study of gemcitabine plus mitoxantrone as salvage chemotherapy in metastatic breast cancer. British Journal of Cancer. 88(4). 491–495. 9 indexed citations

15.

Lorusso, Vito, E. Crucitta, Nicola Silvestris, et al.. (2003). A Phase I Study of Capecitabine in Combination with Vinorelbine in Advanced Breast Cancer. Clinical Breast Cancer. 4(2). 138–141. 20 indexed citations

16.

Lena, M. De, Vito Lorusso, Agnese Latorre, et al.. (2001). Paclitaxel, cisplatin and lonidamine in advanced ovarian cancer. A phase II study. European Journal of Cancer. 37(3). 364–368. 150 indexed citations

17.

Lena, M. De, et al.. (2000). High Efficacy of Paclitaxel and Doxorubicin as First-Line Therapy in Advanced Breast Cancer: A Phase I-II Study. Journal of Chemotherapy. 12(4). 367–373. 4 indexed citations

18.

Lena, M. De, Vito Lorusso, Mario Brandi, et al.. (1997). Revertant and potentiating activity of lonidamine in patients with ovarian cancer previously treated with platinum.. Journal of Clinical Oncology. 15(10). 3208–3213. 28 indexed citations

19.

Guida, Michele, et al.. (1996). Subcutaneous recombinant interleukin-2 plus chemotherapy with cisplatin and dacarbazine in metastatic melanoma. European Journal of Cancer. 32(4). 730–733. 22 indexed citations

20.

Guida, Michele, Ines Abbate, A. Casamassima, et al.. (1995). Long-term Subcutaneous Recombinant Interleukin-2 as Maintenance Therapy: Biological Effects and Clinical Implications. PubMed. 10(3). 195–203. 19 indexed citations

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.

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