Flores Naselli

45 total papers · 1.1k total citations
29 papers, 874 citations indexed

About

Flores Naselli is a scholar working on Molecular Biology, Food Science and Oncology. According to data from OpenAlex, Flores Naselli has authored 29 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 6 papers in Food Science and 5 papers in Oncology. Recurrent topics in Flores Naselli's work include Epigenetics and DNA Methylation (6 papers), Botanical Research and Applications (4 papers) and Extracellular vesicles in disease (4 papers). Flores Naselli is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Botanical Research and Applications (4 papers) and Extracellular vesicles in disease (4 papers). Flores Naselli collaborates with scholars based in Italy, United States and United Kingdom. Flores Naselli's co-authors include Fabio Caradonna, Riccardo Alessandro, Simona Fontana, Giacomo De Leo, Mauro Manno, Giovanni Zito, Stefania Raimondo, Laura Saieva, Francesca Villafiorita‐Monteleone and Alessia Lo Dico and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Flores Naselli

28 papers receiving 860 citations

Author Peers

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

Author Last Decade Papers Cites
Flores Naselli 625 288 85 82 68 29 874
Kaoru Midorikawa 472 0.8× 288 1.0× 54 0.6× 133 1.6× 104 1.5× 43 1.0k
Xingxing Huang 498 0.8× 332 1.2× 51 0.6× 151 1.8× 75 1.1× 31 993
Adrian Bogdan Țigu 460 0.7× 241 0.8× 42 0.5× 140 1.7× 127 1.9× 68 887
Yidan Wang 445 0.7× 118 0.4× 51 0.6× 66 0.8× 103 1.5× 33 873
Wenqian Li 344 0.6× 138 0.5× 71 0.8× 189 2.3× 172 2.5× 26 878
C. Melción 245 0.4× 214 0.7× 36 0.4× 60 0.7× 96 1.4× 26 735
Jin Han 534 0.9× 110 0.4× 97 1.1× 73 0.9× 54 0.8× 29 958
Gabriela Figueroa‐González 471 0.8× 149 0.5× 58 0.7× 87 1.1× 98 1.4× 47 978
Youwei Ai 532 0.9× 327 1.1× 21 0.2× 91 1.1× 49 0.7× 30 945
Ran Wang 529 0.8× 199 0.7× 25 0.3× 118 1.4× 66 1.0× 35 893

Countries citing papers authored by Flores Naselli

Since Specialization
Citations

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

Fields of papers citing papers by Flores Naselli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Flores Naselli

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