Debora Landi

21 total papers · 1.1k total citations
17 papers, 923 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 923 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, Alessio Naccarati, Pavel Vodička, Barbara Pardini, Federico Canzian, Jan Novotný, Asta Försti and Kari Hemminki 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 912 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Debora Landi 698 580 111 90 84 17 923
Daniela Cimino 941 1.3× 702 1.2× 148 1.3× 62 0.7× 102 1.2× 16 1.2k
Xiao Feng 583 0.8× 631 1.1× 148 1.3× 72 0.8× 55 0.7× 18 901
Ian G. Cannell 917 1.3× 549 0.9× 147 1.3× 51 0.6× 63 0.8× 15 1.2k
Rebecca A. Fillmore 611 0.9× 299 0.5× 143 1.3× 53 0.6× 62 0.7× 14 812
Kerstin Enquist 476 0.7× 384 0.7× 227 2.0× 141 1.6× 117 1.4× 18 867
Amanda Formosa 747 1.1× 723 1.2× 112 1.0× 45 0.5× 134 1.6× 19 1.2k
Mayuko Furuta 978 1.4× 900 1.6× 98 0.9× 73 0.8× 64 0.8× 13 1.2k
Xuchao Zhu 714 1.0× 631 1.1× 122 1.1× 44 0.5× 44 0.5× 16 931
Mick D. Edmonds 907 1.3× 711 1.2× 151 1.4× 125 1.4× 57 0.7× 22 1.1k
Marina Bousquet 684 1.0× 464 0.8× 139 1.3× 80 0.9× 73 0.9× 29 1.1k

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

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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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