Gian Loreto D’Alò

40 total papers · 1.0k total citations
27 papers, 614 citations indexed

About

Gian Loreto D’Alò is a scholar working on Infectious Diseases, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Gian Loreto D’Alò has authored 27 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 6 papers in Cognitive Neuroscience and 6 papers in Psychiatry and Mental health. Recurrent topics in Gian Loreto D’Alò's work include Autism Spectrum Disorder Research (4 papers), Child Nutrition and Feeding Issues (4 papers) and Vaccine Coverage and Hesitancy (3 papers). Gian Loreto D’Alò is often cited by papers focused on Autism Spectrum Disorder Research (4 papers), Child Nutrition and Feeding Issues (4 papers) and Vaccine Coverage and Hesitancy (3 papers). Gian Loreto D’Alò collaborates with scholars based in Italy, United Kingdom and Canada. Gian Loreto D’Alò's co-authors include Franco De Crescenzo, Marco Ciabattini, Andrea Cipriani, Cinzia Del Giovane, Riccardo De Giorgi, Luigi Janiri, Zuzana Mitrova, Valeria Di Franco, Michael J. Ostacher and Nicolas Clark and has published in prestigious journals such as The Lancet, The Science of The Total Environment and PLoS Medicine.

In The Last Decade

Gian Loreto D’Alò

26 papers receiving 599 citations

Hit Papers

Comparative effects of ph... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Gian Loreto D’Alò 225 176 154 116 102 27 614
Mei Hung 119 0.5× 93 0.5× 210 1.4× 36 0.3× 111 1.1× 42 696
Karthikeyan Ramanujam 119 0.5× 168 1.0× 76 0.5× 37 0.3× 64 0.6× 33 632
M. Berger 136 0.6× 180 1.0× 55 0.4× 56 0.5× 74 0.7× 40 642
Stéphanie Braun 98 0.4× 88 0.5× 78 0.5× 66 0.6× 244 2.4× 35 636
Tatsuro Ohta 228 1.0× 326 1.9× 80 0.5× 24 0.2× 59 0.6× 24 568
Marco Ciabattini 193 0.9× 225 1.3× 114 0.7× 180 1.6× 40 0.4× 12 629
P.F. Buckley 107 0.5× 86 0.5× 214 1.4× 37 0.3× 90 0.9× 34 663
Judith O’Jile 165 0.7× 127 0.7× 215 1.4× 143 1.2× 120 1.2× 29 624
Jill N. Blocker 150 0.7× 216 1.2× 74 0.5× 119 1.0× 104 1.0× 16 626
David R. Hawkins 235 1.0× 239 1.4× 107 0.7× 24 0.2× 65 0.6× 32 552

Countries citing papers authored by Gian Loreto D’Alò

Since Specialization
Citations

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

Fields of papers citing papers by Gian Loreto D’Alò

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gian Loreto D’Alò. 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 Gian Loreto D’Alò. The network helps show where Gian Loreto D’Alò may publish in the future.

Co-authorship network of co-authors of Gian Loreto D’Alò

This figure shows the co-authorship network connecting the top 25 collaborators of Gian Loreto D’Alò. A scholar is included among the top collaborators of Gian Loreto D’Alò 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 Gian Loreto D’Alò. Gian Loreto D’Alò 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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