M. De Lisa

921 total citations
29 papers, 610 citations indexed

About

M. De Lisa is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, M. De Lisa has authored 29 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 9 papers in Pulmonary and Respiratory Medicine and 8 papers in Cancer Research. Recurrent topics in M. De Lisa's work include Cancer Immunotherapy and Biomarkers (5 papers), MRI in cancer diagnosis (4 papers) and BRCA gene mutations in cancer (4 papers). M. De Lisa is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), MRI in cancer diagnosis (4 papers) and BRCA gene mutations in cancer (4 papers). M. De Lisa collaborates with scholars based in Italy and United Kingdom. M. De Lisa's co-authors include Rossana Berardi, Stefano Cascinu, Z. Ballatore, Miriam Caramanti, Mirco Pistelli, Marco Molinari, Francesca R. Chiricozzi, Anna Maria Tedesco, Maria Leggio and Silvia Clausi and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

M. De Lisa

28 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. De Lisa Italy 11 255 162 113 92 83 29 610
Giacomo Pavesi Italy 19 184 0.7× 88 0.5× 88 0.8× 85 0.9× 15 0.2× 68 855
Tamás Tornóczky Hungary 13 100 0.4× 60 0.4× 194 1.7× 135 1.5× 24 0.3× 57 665
Tomasz Tykocki Poland 14 54 0.2× 82 0.5× 93 0.8× 134 1.5× 65 0.8× 34 675
Shaima Salman United States 12 96 0.4× 159 1.0× 60 0.5× 222 2.4× 23 0.3× 24 542
Sandrine Bichet Switzerland 10 115 0.5× 93 0.6× 42 0.4× 323 3.5× 24 0.3× 14 862
Lauren Massingham United States 8 62 0.2× 90 0.6× 54 0.5× 365 4.0× 44 0.5× 19 845
Ali H. Zahalka United States 7 208 0.8× 86 0.5× 136 1.2× 295 3.2× 15 0.2× 13 1.1k
Makoto Ideguchi Japan 16 52 0.2× 56 0.3× 63 0.6× 575 6.3× 58 0.7× 44 1.1k
Amy J. Wisdom United States 11 147 0.6× 36 0.2× 154 1.4× 117 1.3× 49 0.6× 23 629
Annalidia Donato Italy 12 77 0.3× 58 0.4× 68 0.6× 155 1.7× 15 0.2× 24 483

Countries citing papers authored by M. De Lisa

Since Specialization
Citations

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

Fields of papers citing papers by M. De Lisa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. De Lisa. 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 M. De Lisa. The network helps show where M. De Lisa may publish in the future.

Co-authorship network of co-authors of M. De Lisa

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

All Works

20 of 20 papers shown
1.
Brown, Andrew, et al.. (2020). Supporting weight management services during the COVID-19 pandemic: Phase I insights. UCL Discovery (University College London). 2 indexed citations
2.
Fogante, Marco, et al.. (2019). Correlation between apparent diffusion coefficient of magnetic resonance imaging and tumor-infiltrating lymphocytes in breast cancer. La radiologia medica. 124(7). 581–587. 25 indexed citations
3.
Iamurri, Andrea Prochowski, et al.. (2018). Role of DCE-MR in predicting breast cancer subtypes. La radiologia medica. 123(10). 753–764. 12 indexed citations
4.
Lisa, M. De, Riccardo Giampieri, Gian Marco Giuseppetti, et al.. (2017). Evaluation of stromal tumour-infiltrating lymphocytes (TILs) in breast cancer by Dynamic contrast–enhanced magnetic resonance (DCE-MR) imaging. Annals of Oncology. 28. vi26–vi27. 1 indexed citations
5.
Merloni, Filippo, Mirco Pistelli, Luca Cantini, et al.. (2017). Role of inflammation parameters in locally advanced breast cancer: the debate is still open. Annals of Oncology. 28. vi37–vi37. 2 indexed citations
6.
Iamurri, Andrea Prochowski, Marco Fogante, Mirco Pistelli, et al.. (2017). Evaluation of Multifocality and Multicentricity With Breast Magnetic Resonance Imaging in Each Breast Cancer Subtype. Clinical Breast Cancer. 18(2). e231–e235. 6 indexed citations
7.
Pistelli, Mirco, Alfredo Santinelli, Matteo Santoni, et al.. (2016). BRCA mutations and IGF-R1 expression in modulating sensitivity to Trastuzumab in patients with HER2-positive breast cancer. Annals of Oncology. 27. iv65–iv65. 1 indexed citations
8.
Ballatore, Z., Mirco Pistelli, R. Bracci, et al.. (2016). Triple-negative breast cancer and BRCA mutation: looking at the future. Annals of Oncology. 27. iv66–iv66.
9.
Berardi, Rossana, Ilaria Fiordoliva, M. De Lisa, et al.. (2016). Clinical and Pathologic Predictors of Clinical Outcome of Malignant Pleural Mesothelioma. Tumori Journal. 102(2). 190–195. 8 indexed citations
10.
Maccaroni, Elena, R. Bracci, Riccardo Giampieri, et al.. (2016). Hypersensitivity reactions to antineoplastic agents in BRCA-mutated ovarian cancer patients: a single Centre experience. Annals of Oncology. 27. iv77–iv77. 1 indexed citations
11.
Lisa, M. De, Mirco Pistelli, Z. Ballatore, et al.. (2016). Potential role of PLR and NLR in clinical decision making in locally advanced breast cancer. Annals of Oncology. 27. iv69–iv69. 2 indexed citations
12.
Ballatore, Z., Mirco Pistelli, R. Bracci, et al.. (2016). Triple-negative breast cancer and BRCA mutation: looking at the future. Annals of Oncology. 27. vi50–vi50. 1 indexed citations
13.
Ballatore, Z., Mirco Pistelli, Nicola Battelli, et al.. (2016). Everolimus and exemestane in long survival hormone receptor positive male breast cancer: case report. BMC Research Notes. 9(1). 497–497. 10 indexed citations
14.
Pistelli, Mirco, Z. Ballatore, Alfredo Santinelli, et al.. (2016). Phosphorylated mTOR is associated to androgen receptor expression in early triple-negative breast cancer. Oncology Reports. 36(2). 755–762. 4 indexed citations
15.
Pistelli, Mirco, Z. Ballatore, R. Bracci, et al.. (2015). Endocrine therapy is not effective in BRCA2 mutated breast cancers even when they express hormonal receptors. Annals of Oncology. 26. vi11–vi11. 1 indexed citations
16.
Battelli, Nicola, Z. Ballatore, Rossana Berardi, et al.. (2015). Everolimus in ER + /HER-2 negative metastatic breast cancer (MBC): what we have learned from two years of clinical practice. A single Institution experience. Annals of Oncology. 26. vi21–vi21. 1 indexed citations
17.
Pistelli, Mirco, M. De Lisa, Z. Ballatore, et al.. (2015). Pre-treatment neutrophil to lymphocyte ratio may be a useful tool in predicting survival in early triple negative breast cancer patients. BMC Cancer. 15(1). 195–195. 99 indexed citations
18.
Berardi, Rossana, Gianluca Valeri, Mirco Pistelli, et al.. (2014). Chromium Exposure and Germinal Embryonal Carcinoma: First Two Cases and Review of the Literature. Journal of Toxicology and Environmental Health. 78(1). 1–6. 18 indexed citations
19.
Berardi, Rossana, M. De Lisa, Azzurra Onofri, et al.. (2013). Thymic neoplasms: An update on the use of chemotherapy and new targeted therapies. A literature review. Cancer Treatment Reviews. 40(4). 495–506. 11 indexed citations
20.
Molinari, Marco, Francesca R. Chiricozzi, Silvia Clausi, et al.. (2008). Cerebellum and Detection of Sequences, from Perception to Cognition. The Cerebellum. 7(4). 611–615. 126 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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