Gina Norato

102 total papers · 1.3k total citations
49 papers, 608 citations indexed

About

Gina Norato is a scholar working on Neurology, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Gina Norato has authored 49 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Neurology, 9 papers in Molecular Biology and 8 papers in Psychiatry and Mental health. Recurrent topics in Gina Norato's work include Neurogenetic and Muscular Disorders Research (5 papers), Amyotrophic Lateral Sclerosis Research (5 papers) and Acute Ischemic Stroke Management (5 papers). Gina Norato is often cited by papers focused on Neurogenetic and Muscular Disorders Research (5 papers), Amyotrophic Lateral Sclerosis Research (5 papers) and Acute Ischemic Stroke Management (5 papers). Gina Norato collaborates with scholars based in United States, France and United Kingdom. Gina Norato's co-authors include Avindra Nath, Mark Hallett, William H. Theodore, Marta García‐Montojo, Sara K. Inati, Christoph Zrenner, Leonardo G. Cohen, Ulf Ziemann, Sara J. Hussain and Ethan R. Buch and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Brain.

In The Last Decade

Gina Norato

47 papers receiving 602 citations

Author Peers

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

Author Last Decade Papers Cites
Gina Norato 219 125 117 92 81 49 608
Kazutaka Sugimoto 185 0.8× 104 0.8× 73 0.6× 64 0.7× 165 2.0× 47 684
Anthony Faivre 161 0.7× 98 0.8× 121 1.0× 53 0.6× 83 1.0× 46 662
Graeme Hammond-Tooke 174 0.8× 107 0.9× 63 0.5× 96 1.0× 72 0.9× 33 552
Lucio D’Anna 176 0.8× 153 1.2× 92 0.8× 128 1.4× 82 1.0× 27 614
Minoru Oishi 186 0.8× 53 0.4× 92 0.8× 81 0.9× 44 0.5× 49 575
Hiroaki Sekino 257 1.2× 100 0.8× 74 0.6× 114 1.2× 80 1.0× 51 647
C.A. Maurage 253 1.2× 163 1.3× 86 0.7× 45 0.5× 77 1.0× 37 618
Alexander Ksendzovsky 149 0.7× 119 1.0× 73 0.6× 81 0.9× 58 0.7× 40 650
Tetsuhiko Asakura 178 0.8× 130 1.0× 77 0.7× 106 1.2× 56 0.7× 73 667
D Michel 377 1.7× 103 0.8× 98 0.8× 39 0.4× 37 0.5× 37 668

Countries citing papers authored by Gina Norato

Since Specialization
Citations

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

Fields of papers citing papers by Gina Norato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gina Norato

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