Silvia Grazioli

64 total papers · 644 total citations
34 papers, 410 citations indexed

About

Silvia Grazioli is a scholar working on Cognitive Neuroscience, Epidemiology and Psychiatry and Mental health. According to data from OpenAlex, Silvia Grazioli has authored 34 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 7 papers in Epidemiology and 7 papers in Psychiatry and Mental health. Recurrent topics in Silvia Grazioli's work include Attention Deficit Hyperactivity Disorder (7 papers), Functional Brain Connectivity Studies (4 papers) and Child and Adolescent Psychosocial and Emotional Development (4 papers). Silvia Grazioli is often cited by papers focused on Attention Deficit Hyperactivity Disorder (7 papers), Functional Brain Connectivity Studies (4 papers) and Child and Adolescent Psychosocial and Emotional Development (4 papers). Silvia Grazioli collaborates with scholars based in Italy, United States and Japan. Silvia Grazioli's co-authors include Maria Nobile, Massimo Molteni, Pietro Casarin, Cesare Miranda, Giorgio Zanette, Massimiliano Balbi, Maddalena Mauri, Alessandro Crippa, Valter Donadon and Antonio Perciaccante and has published in prestigious journals such as SHILAP Revista de lepidopterología, Hypertension and European Heart Journal.

In The Last Decade

Silvia Grazioli

31 papers receiving 402 citations

Author Peers

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

Author						Papers	Cites
Silvia Grazioli	106	98	84	80	79	34	410
Kamil Chwojnicki	144 1.4×	37 0.4×	108 1.3×	37 0.5×	29 0.4×	36	413
Thomas Wagner	55 0.5×	74 0.8×	50 0.6×	50 0.6×	41 0.5×	50	495
Christine De Staercke	92 0.9×	131 1.3×	72 0.9×	18 0.2×	13 0.2×	24	465
Alis Heshmatollah	142 1.3×	57 0.6×	72 0.9×	65 0.8×	24 0.3×	20	439
Pamela Song	121 1.1×	66 0.7×	62 0.7×	59 0.7×	7 0.1×	37	466
F.J. Barbado Hernández	44 0.4×	104 1.1×	36 0.4×	66 0.8×	15 0.2×	30	429
Ju-Hun Lee	200 1.9×	25 0.3×	75 0.9×	99 1.2×	30 0.4×	43	473
Dushin Jeong	113 1.1×	36 0.4×	29 0.3×	65 0.8×	29 0.4×	31	449
Eriko Yamaguchi	110 1.0×	42 0.4×	71 0.8×	19 0.2×	21 0.3×	38	469
Giuseppe Femia	46 0.4×	79 0.8×	163 1.9×	24 0.3×	52 0.7×	44	491

Countries citing papers authored by Silvia Grazioli

Since Specialization

Citations

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

Fields of papers citing papers by Silvia Grazioli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Grazioli

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