Concetta Federico

135 total papers · 2.3k total citations
110 papers, 1.8k citations indexed

About

Concetta Federico is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Concetta Federico has authored 110 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 30 papers in Genetics and 20 papers in Cellular and Molecular Neuroscience. Recurrent topics in Concetta Federico's work include Genomics and Chromatin Dynamics (15 papers), Neuropeptides and Animal Physiology (14 papers) and Genomic variations and chromosomal abnormalities (14 papers). Concetta Federico is often cited by papers focused on Genomics and Chromatin Dynamics (15 papers), Neuropeptides and Animal Physiology (14 papers) and Genomic variations and chromosomal abnormalities (14 papers). Concetta Federico collaborates with scholars based in Italy, United Kingdom and France. Concetta Federico's co-authors include Salvatore Saccone, Giorgio Bernardi, Agata Grazia D’Amico, Velia D’Agata, Grazia Maugeri, Sebastiano Cavallaro, Daniela Maria Rasà, Sabrina Tosi, Claudio Bucolo and Francesca Bruno and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Concetta Federico

107 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Concetta Federico 1.0k 334 314 258 162 110 1.8k
Soo‐Young Kim 823 0.8× 273 0.8× 148 0.5× 172 0.7× 147 0.9× 80 1.6k
E. Ann Ellis 772 0.7× 146 0.4× 175 0.6× 144 0.6× 384 2.4× 78 2.0k
Gemma Marfany 1.7k 1.7× 177 0.5× 325 1.0× 159 0.6× 425 2.6× 93 2.2k
Haixu Chen 1.4k 1.4× 341 1.0× 300 1.0× 300 1.2× 58 0.4× 56 2.3k
Maria Egle De Stefano 696 0.7× 476 1.4× 86 0.3× 189 0.7× 127 0.8× 75 1.7k
Wei Feng 1.1k 1.1× 184 0.6× 140 0.4× 418 1.6× 308 1.9× 66 1.8k
Thomas E. Hughes 1.3k 1.2× 399 1.2× 223 0.7× 265 1.0× 45 0.3× 46 1.9k
Arnold Munnich 1.6k 1.6× 340 1.0× 579 1.8× 61 0.2× 237 1.5× 55 2.3k
Yuhong Li 654 0.6× 244 0.7× 155 0.5× 77 0.3× 50 0.3× 101 1.9k
Eun Hui Lee 1.1k 1.1× 418 1.3× 166 0.5× 63 0.2× 95 0.6× 73 1.8k

Countries citing papers authored by Concetta Federico

Since Specialization
Citations

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

Fields of papers citing papers by Concetta Federico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Concetta Federico

This figure shows the co-authorship network connecting the top 25 collaborators of Concetta Federico. A scholar is included among the top collaborators of Concetta Federico 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 Concetta Federico. Concetta Federico 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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2026