Vera Cappelletti

3.2k total citations
108 papers, 2.4k citations indexed

About

Vera Cappelletti is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Vera Cappelletti has authored 108 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Oncology, 56 papers in Cancer Research and 39 papers in Molecular Biology. Recurrent topics in Vera Cappelletti's work include Cancer Cells and Metastasis (30 papers), Cancer Genomics and Diagnostics (30 papers) and Estrogen and related hormone effects (22 papers). Vera Cappelletti is often cited by papers focused on Cancer Cells and Metastasis (30 papers), Cancer Genomics and Diagnostics (30 papers) and Estrogen and related hormone effects (22 papers). Vera Cappelletti collaborates with scholars based in Italy, United States and Germany. Vera Cappelletti's co-authors include Maria Grazia Daidone, G. Di Fronzo, Patrizia Miodini, L. Fioravanti, Silvia Veneroni, Danila Coradini, Maurizio Callari, Valeria Musella, Rosella Silvestrini and Giuseppe Merlino and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Vera Cappelletti

104 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vera Cappelletti Italy	27	1.1k	1.0k	1.0k	523	446	108	2.4k
Daniela Gallo Italy	30	1.0k 0.9×	1.4k 1.4×	431 0.4×	533 1.0×	474 1.1×	72	2.9k
Danila Coradini Italy	32	2.2k 1.9×	1.9k 1.9×	1.4k 1.3×	620 1.2×	331 0.7×	108	3.9k
Priyanka Sharma United States	22	1.1k 0.9×	557 0.5×	692 0.7×	335 0.6×	263 0.6×	131	1.8k
Yanyuan Wu United States	25	987 0.9×	1.3k 1.2×	635 0.6×	221 0.4×	276 0.6×	64	2.3k
Ja‐Lok Ku South Korea	33	1.0k 0.9×	1.5k 1.4×	690 0.7×	191 0.4×	707 1.6×	112	2.8k
Dorraya El‐Ashry United States	31	1.7k 1.5×	1.7k 1.7×	972 0.9×	789 1.5×	137 0.3×	52	3.1k
Roberta Pang Hong Kong	29	1.1k 0.9×	1.6k 1.5×	987 1.0×	129 0.2×	383 0.9×	53	3.0k
Xiaoxian Li United States	28	1.3k 1.1×	894 0.9×	1.1k 1.0×	145 0.3×	326 0.7×	110	2.8k
Anita Sveen Norway	26	1.3k 1.1×	1.5k 1.5×	968 0.9×	134 0.3×	729 1.6×	61	3.0k
Hisashi Hirakawa Japan	24	839 0.7×	805 0.8×	752 0.7×	741 1.4×	216 0.5×	63	2.0k

Countries citing papers authored by Vera Cappelletti

Since Specialization

Citations

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

Fields of papers citing papers by Vera Cappelletti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vera Cappelletti

This figure shows the co-authorship network connecting the top 25 collaborators of Vera Cappelletti. A scholar is included among the top collaborators of Vera Cappelletti 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 Vera Cappelletti. Vera Cappelletti 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

Russo, M., Giulia Bertolini, Vera Cappelletti, et al.. (2025). Augmentation-based deep learning for identification of circulating tumor cells. Computers in Biology and Medicine. 199. 111333–111333.

Talarico, Giovanna, Paola Portararo, Laura Botti, et al.. (2025). ECM-Induced IL-23 Drives Immune Suppression in Breast Cancer via Regulating PD-1 on Tregs. Journal of Experimental & Clinical Cancer Research. 44(1). 264–264.

Ciniselli, Chiara Maura, Paolo Verderio, Paolo Baili, et al.. (2024). Clinical and Biological Significance of HER2-Low in Ductal Carcinoma In Situ of the Breast. Clinical Breast Cancer. 25(1). e79–e85.e1. 1 indexed citations

Marta, Guilherme Nader, Marta Monteforte, Elisa Agostinetto, et al.. (2024). Circulating tumor DNA for predicting recurrence in patients with operable breast cancer: a systematic review and meta-analysis. ESMO Open. 9(3). 102390–102390. 24 indexed citations

Cosimo, Serena Di, Marco Silvestri, Cinzia De Marco, et al.. (2024). Low-pass whole genome sequencing of circulating tumor cells to evaluate chromosomal instability in triple-negative breast cancer. Scientific Reports. 14(1). 20479–20479. 4 indexed citations

Silvestri, Marco, Trung Nghia Vu, Federico Nichetti, et al.. (2023). Comprehensive transcriptomic analysis to identify biological and clinical differences in cholangiocarcinoma. Cancer Medicine. 12(8). 10156–10168. 7 indexed citations

Cosimo, Serena Di, Silva Ljevar, Annalisa Trama, et al.. (2023). Direct and indirect effects of COVID-19 on short-term mortality of breast cancer patients. The Breast. 71. 60–62. 2 indexed citations

Mennitto, Alessia, Elena Verzoni, Francesco Cognetti, et al.. (2021). Radical metastasectomy followed by sorafenib versus observation in patients withclear cell renal cell carcinoma: extended follow -up of efficacy results from the randomized phase II RESORT trial. Expert Review of Clinical Pharmacology. 14(2). 261–268. 7 indexed citations

Luchini, Claudio, Nicola Veronese, Alessia Nottegar, et al.. (2019). Liquid Biopsy as Surrogate for Tissue for Molecular Profiling in Pancreatic Cancer: A Meta-Analysis Towards Precision Medicine. Cancers. 11(8). 1152–1152. 39 indexed citations

10.

Cappelletti, Vera, Egidio Iorio, Patrizia Miodini, et al.. (2017). Metabolic Footprints and Molecular Subtypes in Breast Cancer. Disease Markers. 2017. 1–19. 67 indexed citations

11.

Gennaro, Massimiliano, Maria Carmen De Santis, Luigi Mariani, et al.. (2017). Ten-year results of applying an original scoring system for addressing adjuvant therapy use after breast-conserving surgery for ductal carcinoma in situ of the breast. The Breast. 35. 63–68. 5 indexed citations

12.

Callari, Maurizio, Matteo Dugo, G. Merlino, et al.. (2015). miR-30e* is an independent subtype-specific prognostic marker in breast cancer. British Journal of Cancer. 113(2). 290–298. 36 indexed citations

13.

Musella, Valeria, Maurizio Callari, Matteo Dugo, et al.. (2015). Use of Formalin-Fixed Paraffin-Embedded Samples for Gene Expression Studies in Breast Cancer Patients. PLoS ONE. 10(4). e0123194–e0123194. 9 indexed citations

14.

Callari, Maurizio, Antonio Lembo, Giampaolo Bianchini, et al.. (2014). Accurate Data Processing Improves the Reliability of Affymetrix Gene Expression Profiles from FFPE Samples. PLoS ONE. 9(1). e86511–e86511. 8 indexed citations

15.

Callari, Maurizio, Valeria Musella, Marialuisa Sensi, et al.. (2014). Subtype‐dependent prognostic relevance of an interferon‐induced pathway metagene in node‐negative breast cancer. Molecular Oncology. 8(7). 1278–1289. 38 indexed citations

16.

Bisso, Andrea, Michela Faleschini, Federico Zampa, et al.. (2013). Oncogenic miR-181a/b affect the DNA damage response in aggressive breast cancer. Cell Cycle. 12(11). 1679–1687. 96 indexed citations

17.

Cappelletti, Vera, et al.. (2003). Selective modulation of ER-? by estradiol and xenoestrogens in human breast cancer cell lines. Cellular and Molecular Life Sciences. 60(3). 567–576. 19 indexed citations

18.

Cappelletti, Vera, et al.. (1991). Interaction between hormone-dependent and hormone-independent human breast cancer cells. European Journal of Cancer and Clinical Oncology. 27(9). 1154–1157. 1 indexed citations

19.

Cappelletti, Vera, et al.. (1988). Simultaneous Estimation of Epidermal Growth Factor Receptors and Steroid Receptors in a Series of 136 Resectable Primary Breast Tumors. Tumor Biology. 9(4). 200–211. 29 indexed citations

20.

Pizzocaro, Giorgio, G. Di Fronzo, Vera Cappelletti, et al.. (1983). Hormone Treatment and Sex Steroid Receptors in Metastatic Renal Cell Carcinoma: Report of a Multicentric Prospective Study. Tumori Journal. 69(3). 215–220. 14 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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