Maria Cusinato

14 total papers · 449 total citations
8 papers, 305 citations indexed

About

Maria Cusinato is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health and Clinical Psychology. According to data from OpenAlex, Maria Cusinato has authored 8 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Pediatrics, Perinatology and Child Health and 3 papers in Clinical Psychology. Recurrent topics in Maria Cusinato's work include Diabetes Management and Research (4 papers), Childhood Cancer Survivors' Quality of Life (3 papers) and Child and Adolescent Psychosocial and Emotional Development (2 papers). Maria Cusinato is often cited by papers focused on Diabetes Management and Research (4 papers), Childhood Cancer Survivors' Quality of Life (3 papers) and Child and Adolescent Psychosocial and Emotional Development (2 papers). Maria Cusinato collaborates with scholars based in Italy. Maria Cusinato's co-authors include Marina Miscioscia, Carlo Moretti, Andrea Spoto, Michela Gatta, Sara Iannattone, Vincenzo Calvo, Marco Sambin, Irene Messina, Enrico Opocher and Sabrina Bonichini and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Frontiers in Psychology and Journal of Homosexuality.

In The Last Decade

Maria Cusinato

8 papers receiving 292 citations

Author Peers

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

Author						Papers	Cites
Maria Cusinato	216	61	51	44	44	8	305
Olga D. Boer	173 0.8×	46 0.8×	48 0.9×	46 1.0×	25 0.6×	9	256
Martina K. Narayanan	225 1.0×	45 0.7×	66 1.3×	74 1.7×	57 1.3×	10	315
Joanne M. Williams	172 0.8×	49 0.8×	65 1.3×	56 1.3×	42 1.0×	7	283
David P. Schor	208 1.0×	51 0.8×	40 0.8×	32 0.7×	42 1.0×	10	315
Jasmine Raw	172 0.8×	44 0.7×	54 1.1×	23 0.5×	40 0.9×	12	269
Obianuju O. Berry	132 0.6×	56 0.9×	41 0.8×	84 1.9×	33 0.8×	13	281
Vetisha L. McClair	109 0.5×	52 0.9×	61 1.2×	50 1.1×	28 0.6×	6	345
Susanne Schulz	265 1.2×	36 0.6×	74 1.5×	56 1.3×	82 1.9×	11	319
Jennifer M. Hogansen	238 1.1×	56 0.9×	37 0.7×	58 1.3×	81 1.8×	7	344
Fang‐Ju Tsai	181 0.8×	33 0.5×	57 1.1×	43 1.0×	29 0.7×	9	299

Countries citing papers authored by Maria Cusinato

Since Specialization

Citations

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

Fields of papers citing papers by Maria Cusinato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Cusinato

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