De Luca

76 total papers · 443 total citations
21 papers, 159 citations indexed

About

De Luca is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, De Luca has authored 21 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Pathology and Forensic Medicine. Recurrent topics in De Luca's work include Cancer Genomics and Diagnostics (7 papers), Genetic factors in colorectal cancer (3 papers) and Bioinformatics and Genomic Networks (3 papers). De Luca is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Genetic factors in colorectal cancer (3 papers) and Bioinformatics and Genomic Networks (3 papers). De Luca collaborates with scholars based in Italy, United States and United Kingdom. De Luca's co-authors include Daniele Ramazzotti, Giulio Caravagna, Marco Antoniotti, Alex Graudenzi, Giancarlo Mauri, Bud Mishra, Vı́ctor Moreno, Rebeca Sanz‐Pamplona, Nitesh Sharma and Rocco Piazza and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

De Luca

18 papers receiving 157 citations

Author Peers

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

Author Last Decade Papers Cites
De Luca 75 65 24 23 23 21 159
Jin Liu 150 2.0× 88 1.4× 13 0.5× 27 1.2× 24 1.0× 17 282
Gh. Rasool Bhat 136 1.8× 49 0.8× 21 0.9× 16 0.7× 19 0.8× 23 249
Zhiqiang Wang 131 1.7× 56 0.9× 32 1.3× 20 0.9× 18 0.8× 18 224
Marie Karlíková 52 0.7× 48 0.7× 20 0.8× 44 1.9× 14 0.6× 21 231
Xiaoyu Zhao 143 1.9× 71 1.1× 41 1.7× 21 0.9× 10 0.4× 29 288
Peter Kneeshaw 46 0.6× 53 0.8× 12 0.5× 37 1.6× 43 1.9× 14 238
Kai Wang 125 1.7× 49 0.8× 8 0.3× 14 0.6× 9 0.4× 17 230
Xi Chen 84 1.1× 57 0.9× 13 0.5× 9 0.4× 11 0.5× 24 184
Xiaohan Chang 124 1.7× 81 1.2× 9 0.4× 27 1.2× 6 0.3× 24 257
Qibing Wu 85 1.1× 88 1.4× 16 0.7× 24 1.0× 17 0.7× 17 196

Countries citing papers authored by De Luca

Since Specialization
Citations

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

Fields of papers citing papers by De Luca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of De Luca

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