Eva Dreussi

601 total citations
19 papers, 425 citations indexed

About

Eva Dreussi is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Eva Dreussi has authored 19 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 6 papers in Molecular Biology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Eva Dreussi's work include Genetic factors in colorectal cancer (6 papers), Colorectal Cancer Treatments and Studies (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Eva Dreussi is often cited by papers focused on Genetic factors in colorectal cancer (6 papers), Colorectal Cancer Treatments and Studies (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Eva Dreussi collaborates with scholars based in Italy, United States and Canada. Eva Dreussi's co-authors include Giuseppe Toffoli, Erika Cecchin, Bianca Posocco, Elena De Mattia, Angela Buonadonna, Sara Gagno, Jerry Polesel, Barbara Dapas, Francesco Musiani and Elena Marangon and has published in prestigious journals such as International Journal of Molecular Sciences, International Journal of Cancer and European Journal of Cancer.

In The Last Decade

Eva Dreussi

19 papers receiving 419 citations

Peers

Eva Dreussi
Syed J. Mehdi United States
Eun Ji Lee South Korea
Nagaraju Anreddy United States
Zixi Wang China
Eva Dreussi
Citations per year, relative to Eva Dreussi Eva Dreussi (= 1×) peers Yanfang Wang

Countries citing papers authored by Eva Dreussi

Since Specialization
Citations

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

Fields of papers citing papers by Eva Dreussi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Dreussi

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

All Works

19 of 19 papers shown
1.
Mattia, Elena De, Vincenzo Canzonieri, Jerry Polesel, et al.. (2021). SMAD3 Host and Tumor Profiling to Identify Locally Advanced Rectal Cancer Patients at High Risk of Poor Response to Neoadjuvant Chemoradiotherapy. Frontiers in Pharmacology. 12. 778781–778781. 4 indexed citations
2.
Cecchin, Erika, Elena De Mattia, Eva Dreussi, et al.. (2020). Immunogenetic markers in IL17F predict the risk of metastases spread and overall survival in rectal cancer patients treated with neoadjuvant chemoradiotherapy. Radiotherapy and Oncology. 149. 30–37. 4 indexed citations
3.
Dreussi, Eva, Roberto Bortolus, Chiara Romualdi, et al.. (2019). rs4143815-PDL1, a New Potential Immunogenetic Biomarker of Biochemical Recurrence in Locally Advanced Prostate Cancer after Radiotherapy. International Journal of Molecular Sciences. 20(9). 2082–2082. 5 indexed citations
4.
Gagno, Sara, Elena Poletto, Michele Bartoletti, et al.. (2019). A TGF-β associated genetic score to define prognosis and platinum sensitivity in advanced epithelial ovarian cancer. Gynecologic Oncology. 156(1). 233–242. 4 indexed citations
5.
Mattia, Elena De, Jerry Polesel, Rossana Roncato, et al.. (2019). Germline Polymorphisms in the Nuclear Receptors PXR and VDR as Novel Prognostic Markers in Metastatic Colorectal Cancer Patients Treated With FOLFIRI. Frontiers in Oncology. 9. 1312–1312. 13 indexed citations
6.
Mattia, Elena De, Eva Dreussi, Marcella Montico, et al.. (2018). A Clinical-Genetic Score to Identify Surgically Resected Colorectal Cancer Patients Benefiting From an Adjuvant Fluoropyrimidine-Based Therapy. Frontiers in Pharmacology. 9. 1101–1101. 5 indexed citations
7.
Mattia, Elena De, Erika Cecchin, Marcella Montico, et al.. (2018). Association of STAT-3 rs1053004 and VDR rs11574077 With FOLFIRI-Related Gastrointestinal Toxicity in Metastatic Colorectal Cancer Patients. Frontiers in Pharmacology. 9. 367–367. 16 indexed citations
8.
Lunenburg, Carin A.T.C., Linda M. Henricks, Eva Dreussi, et al.. (2018). Standard fluoropyrimidine dosages in chemoradiation therapy result in an increased risk of severe toxicity in DPYD variant allele carriers. European Journal of Cancer. 104. 210–218. 16 indexed citations
9.
Dreussi, Eva, et al.. (2018). Immunogenetics of Prostate Cancer: A Still Unexplored Field of Study. Pharmacogenomics. 19(3). 263–283. 3 indexed citations
10.
Bortolus, Roberto, Eva Dreussi, Jerry Polesel, et al.. (2017). Impact of DNA repair gene polymorphisms on the risk of biochemical recurrence after radiotherapy and overall survival in prostate cancer. Oncotarget. 8(14). 22863–22875. 9 indexed citations
11.
Toffoli, Marco, Eva Dreussi, Erika Cecchin, et al.. (2017). SNCA 3′UTR genetic variants in patients with Parkinson’s disease and REM sleep behavior disorder. Neurological Sciences. 38(7). 1233–1240. 22 indexed citations
12.
Marangon, Elena, et al.. (2016). Nanocarriers in cancer clinical practice: a pharmacokinetic issue. Nanomedicine Nanotechnology Biology and Medicine. 13(2). 583–599. 54 indexed citations
13.
Dreussi, Eva, Erika Cecchin, Jerry Polesel, et al.. (2016). Pharmacogenetics Biomarkers and Their Specific Role in Neoadjuvant Chemoradiotherapy Treatments: An Exploratory Study on Rectal Cancer Patients. International Journal of Molecular Sciences. 17(9). 1482–1482. 11 indexed citations
14.
Dreussi, Eva, Salvatore Pucciarelli, Antonino De Paoli, et al.. (2016). Predictive role of microRNA-related genetic polymorphisms in the pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer patients. Oncotarget. 7(15). 19781–19793. 13 indexed citations
15.
Posocco, Bianca, Eva Dreussi, Giuseppe Toffoli, et al.. (2015). Polysaccharides for the Delivery of Antitumor Drugs. Materials. 8(5). 2569–2615. 89 indexed citations
16.
Toffoli, Giuseppe, Angela Buonadonna, Massimiliano Berretta, et al.. (2015). Clinical validity of a DPYD‐based pharmacogenetic test to predict severe toxicity to fluoropyrimidines. International Journal of Cancer. 137(12). 2971–2980. 72 indexed citations
17.
Mattia, Elena De, Giuseppe Toffoli, Jerry Polesel, et al.. (2013). Pharmacogenetics of ABC and SLC transporters in metastatic colorectal cancer patients receiving first-line FOLFIRI treatment. Pharmacogenetics and Genomics. 23(10). 549–557. 45 indexed citations
18.
Mattia, Elena De, Eva Dreussi, Erika Cecchin, & Giuseppe Toffoli. (2013). Pharmacogenetics of the Nuclear Hormone Receptors: the Missing Link Between Environment and Drug Effects?. Pharmacogenomics. 14(16). 2035–2054. 20 indexed citations
19.
Dreussi, Eva, Paola Biason, Giuseppe Toffoli, & Erika Cecchin. (2012). miRNA Pharmacogenomics: The New Frontier for Personalized Medicine in Cancer?. Pharmacogenomics. 13(14). 1635–1650. 20 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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