Debora Landi

1.1k total citations
17 papers, 924 citations indexed

About

Debora Landi is a scholar working on Molecular Biology, Cancer Research and Orthodontics. According to data from OpenAlex, Debora Landi has authored 17 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Cancer Research and 2 papers in Orthodontics. Recurrent topics in Debora Landi's work include MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (8 papers) and Circular RNAs in diseases (6 papers). Debora Landi is often cited by papers focused on MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (8 papers) and Circular RNAs in diseases (6 papers). Debora Landi collaborates with scholars based in Italy, Czechia and Germany. Debora Landi's co-authors include Stefano Landi, Federica Gemignani, Roberto Barale, Pavel Vodička, Alessio Naccarati, Barbara Pardini, Federico Canzian, Jan Novotný, Kari Hemminki and Ľudmila Vodičková and has published in prestigious journals such as Cancer, Cancer Research and International Journal of Cancer.

In The Last Decade

Debora Landi

17 papers receiving 913 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debora Landi Italy 13 698 581 111 90 84 17 924
Marina Bousquet France 17 684 1.0× 467 0.8× 139 1.3× 80 0.9× 72 0.9× 29 1.1k
Yonghe You China 14 428 0.6× 311 0.5× 132 1.2× 44 0.5× 53 0.6× 23 598
Weida Gong China 19 918 1.3× 689 1.2× 146 1.3× 89 1.0× 64 0.8× 50 1.1k
Fang Sun China 12 764 1.1× 729 1.3× 89 0.8× 31 0.3× 33 0.4× 29 1.1k
Hanshao Liu Japan 9 617 0.9× 380 0.7× 190 1.7× 34 0.4× 32 0.4× 13 777
Kristi L. Bennett United States 12 529 0.8× 156 0.3× 103 0.9× 60 0.7× 71 0.8× 13 674
Jiandong Wang China 16 635 0.9× 687 1.2× 121 1.1× 68 0.8× 42 0.5× 37 989
Jingxin Ding China 16 686 1.0× 597 1.0× 81 0.7× 19 0.2× 55 0.7× 41 925

Countries citing papers authored by Debora Landi

Since Specialization
Citations

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

Fields of papers citing papers by Debora Landi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debora Landi

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

All Works

17 of 17 papers shown
1.
Cipollini, Monica, Stefano Luisi, Paola Piomboni, et al.. (2019). Functional polymorphism within NUP210 encoding for nucleoporin GP210 is associated with the risk of endometriosis. Fertility and Sterility. 112(2). 343–352.e1. 6 indexed citations
2.
Landi, Debora, Lucia Fontana, Marzia Migliorini, et al.. (2014). Nutraceutical properties of chestnut flours: beneficial effects on skeletal muscle atrophy. Food & Function. 5(11). 2870–2882. 18 indexed citations
3.
Naccarati, Alessio, Barbara Pardini, Stefano Landi, et al.. (2012). Polymorphisms in miRNA-binding sites of nucleotide excision repair genes and colorectal cancer risk. Carcinogenesis. 33(7). 1346–1351. 54 indexed citations
4.
Landi, Debora, Federica Gemignani, & Stefano Landi. (2012). Role of variations within microRNA-binding sites in cancer. Mutagenesis. 27(2). 205–210. 43 indexed citations
5.
Monte, Massimo Dal, Debora Landi, Davide Martini, & Paola Bagnoli. (2012). Antiangiogenic role of miR-361 in human umbilical vein endothelial cells: functional interaction with the peptide somatostatin. Naunyn-Schmiedeberg s Archives of Pharmacology. 386(1). 15–27. 11 indexed citations
6.
Landi, Debora, Federica Gemignani, Barbara Pardini, et al.. (2012). Identification of candidate genes carrying polymorphisms associated with the risk of colorectal cancer by analyzing the colorectal mutome and microRNAome. Cancer. 118(19). 4670–4680. 19 indexed citations
7.
Romei, Cristina, Monica Cipollini, Debora Landi, et al.. (2011). Evidences that the polymorphism Pro‐282‐Ala within the tumor suppressor gene WWOX is a new risk factor for differentiated thyroid carcinoma. International Journal of Cancer. 129(12). 2816–2824. 29 indexed citations
8.
Teo, Mark, Debora Landi, Claire Taylor, et al.. (2011). The role of microRNA-binding site polymorphisms in DNA repair genes as risk factors for bladder cancer and breast cancer and their impact on radiotherapy outcomes. Carcinogenesis. 33(3). 581–586. 91 indexed citations
9.
Landi, Debora, Vı́ctor Moreno, Elisabet Guinó, et al.. (2010). Polymorphisms affecting micro-RNA regulation and associated with the risk of dietary-related cancers: A review from the literature and new evidence for a functional role of rs17281995 (CD86) and rs1051690 (INSR), previously associated with colorectal cancer. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 717(1-2). 109–115. 44 indexed citations
10.
Landi, Debora, Roberto Barale, Federica Gemignani, & Stefano Landi. (2010). Prediction of the Biological Effect of Polymorphisms Within MicroRNA Binding Sites. Methods in molecular biology. 676. 197–210. 18 indexed citations
11.
Gao, Yuzhen, Yan He, Jian Ding, et al.. (2009). An insertion/deletion polymorphism at miRNA-122-binding site in the interleukin-1  3' untranslated region confers risk for hepatocellular carcinoma. Carcinogenesis. 30(12). 2064–2069. 127 indexed citations
12.
Cristaudo, Alfonso, Rudy Foddis, Alessandra Bonotti, et al.. (2009). Polymorphisms in the putative micro-RNA-binding sites of mesothelin gene are associated with serum levels of mesothelin-related protein. Occupational and Environmental Medicine. 67(4). 233–236. 17 indexed citations
13.
Landi, Debora, Federica Gemignani, Roberto Barale, & Stefano Landi. (2007). A Catalog of Polymorphisms Falling in MicroRNA-Binding Regions of Cancer Genes. DNA and Cell Biology. 27(1). 35–43. 116 indexed citations
14.
Landi, Debora, Federica Gemignani, Alessio Naccarati, et al.. (2007). Polymorphisms within micro-RNA-binding sites and risk of sporadic colorectal cancer. Carcinogenesis. 29(3). 579–584. 238 indexed citations
15.
Landi, Stefano, Federica Gemignani, Federico Canzian, et al.. (2006). DNA Repair and Cell Cycle Control Genes and the Risk of Young-Onset Lung Cancer. Cancer Research. 66(22). 11062–11069. 84 indexed citations
16.
Giachetti, Luca, Fabio Bertini, & Debora Landi. (2005). Morphological and functional rehabilitation of severely infra-occluded primary molars in the presence of aplasia of the permanent premolar: A clinical report. Journal of Prosthetic Dentistry. 93(2). 121–124. 8 indexed citations
17.
Giachetti, Luca, et al.. (2003). [Bonding compatibility between adhesive systems and composite resins].. PubMed. 52(4). 157–67. 1 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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