Lucia Parisi

97 total papers · 1.2k total citations
48 papers, 714 citations indexed

About

Lucia Parisi is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Lucia Parisi has authored 48 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 17 papers in Psychiatry and Mental health and 9 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Lucia Parisi's work include Autism Spectrum Disorder Research (9 papers), Child Nutrition and Feeding Issues (6 papers) and Infant Development and Preterm Care (6 papers). Lucia Parisi is often cited by papers focused on Autism Spectrum Disorder Research (9 papers), Child Nutrition and Feeding Issues (6 papers) and Infant Development and Preterm Care (6 papers). Lucia Parisi collaborates with scholars based in Italy, Argentina and Switzerland. Lucia Parisi's co-authors include Michele Roccella, Marco Carotenuto, Rosa Marotta, Luigi Vetri, Giovanni Messina, Maria Esposito, Francesco Precenzano, Serena Marianna Lavano, Maria Ruberto and Agata Maltese and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Neurology and Neuropsychiatric Disease and Treatment.

In The Last Decade

Lucia Parisi

45 papers receiving 702 citations

Hit Papers

The Neurochemistry of Autism 2020 2026 2022 2024 2020 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Lucia Parisi 285 194 146 142 117 48 714
Sabine E. Mous 308 1.1× 159 0.8× 216 1.5× 139 1.0× 148 1.3× 30 839
Haruo Fujino 295 1.0× 275 1.4× 207 1.4× 153 1.1× 120 1.0× 55 896
Nina Roth Mota 318 1.1× 477 2.5× 163 1.1× 124 0.9× 122 1.0× 56 881
Jishui Zhang 418 1.5× 136 0.7× 176 1.2× 169 1.2× 179 1.5× 53 847
C Lenti 381 1.3× 198 1.0× 248 1.7× 211 1.5× 76 0.6× 41 778
Danielle Baribeau 408 1.4× 219 1.1× 180 1.2× 113 0.8× 241 2.1× 32 901
Christian Vogler 194 0.7× 92 0.5× 136 0.9× 265 1.9× 95 0.8× 28 809
Peter Scherzer 299 1.0× 156 0.8× 56 0.4× 116 0.8× 69 0.6× 41 814
Didem Behice Öztop 187 0.7× 206 1.1× 114 0.8× 112 0.8× 221 1.9× 65 747
Marie‐Maude Geoffray 513 1.8× 292 1.5× 184 1.3× 127 0.9× 232 2.0× 37 830

Countries citing papers authored by Lucia Parisi

Since Specialization
Citations

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

Fields of papers citing papers by Lucia Parisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucia Parisi

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