Maria Simonetta Spada

30 total papers · 474 total citations
16 papers, 341 citations indexed

About

Maria Simonetta Spada is a scholar working on Neurology, Cognitive Neuroscience and Clinical Psychology. According to data from OpenAlex, Maria Simonetta Spada has authored 16 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 6 papers in Cognitive Neuroscience and 5 papers in Clinical Psychology. Recurrent topics in Maria Simonetta Spada's work include Long-Term Effects of COVID-19 (6 papers), COVID-19 and Mental Health (4 papers) and Musculoskeletal pain and rehabilitation (4 papers). Maria Simonetta Spada is often cited by papers focused on Long-Term Effects of COVID-19 (6 papers), COVID-19 and Mental Health (4 papers) and Musculoskeletal pain and rehabilitation (4 papers). Maria Simonetta Spada collaborates with scholars based in Italy, Switzerland and United States. Maria Simonetta Spada's co-authors include Lorenzo Montali, Alessandra Frigerio, Mirco Fasolo, Giovanna Mangili, Maria Spinelli, Giuseppe Vallar, Roberta Ronchi, Simone Vasilij Benatti, Monica Casati and Giorgia Camera and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neuropsychologia and Journal of Affective Disorders.

In The Last Decade

Maria Simonetta Spada

13 papers receiving 333 citations

Author Peers

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

Author Last Decade Papers Cites
Maria Simonetta Spada 131 113 93 74 58 16 341
Marie‐Christine Rousseau 81 0.6× 84 0.7× 58 0.6× 51 0.7× 25 0.4× 31 362
Andrea Knies 35 0.3× 54 0.5× 36 0.4× 52 0.7× 10 0.2× 22 317
Alison Herndon 37 0.3× 99 0.9× 31 0.3× 131 1.8× 48 0.8× 14 332
Shannon Munro Cohen 50 0.4× 18 0.2× 30 0.3× 61 0.8× 8 0.1× 15 380
Carl‐Johan Törnhage 52 0.4× 35 0.3× 39 0.4× 15 0.2× 45 0.8× 21 343
Catherine P. Canamar 34 0.3× 17 0.2× 68 0.7× 13 0.2× 55 0.9× 16 377
Sílvia Cañizares 38 0.3× 78 0.7× 18 0.2× 25 0.3× 27 0.5× 23 364
Adam Lound 157 1.2× 96 0.8× 6 0.1× 9 0.1× 48 0.8× 14 312
Lauren O. Erickson 36 0.3× 83 0.7× 13 0.1× 27 0.4× 14 0.2× 20 353
Molly Doernberg 178 1.4× 98 0.9× 29 0.3× 9 0.1× 37 0.6× 13 337

Countries citing papers authored by Maria Simonetta Spada

Since Specialization
Citations

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

Fields of papers citing papers by Maria Simonetta Spada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Simonetta Spada. 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 Maria Simonetta Spada. The network helps show where Maria Simonetta Spada may publish in the future.

Co-authorship network of co-authors of Maria Simonetta Spada

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Simonetta Spada. A scholar is included among the top collaborators of Maria Simonetta Spada 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 Maria Simonetta Spada. Maria Simonetta Spada 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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