Stefanía Bianchi

21 total papers · 815 total citations
14 papers, 537 citations indexed

About

Stefanía Bianchi is a scholar working on Epidemiology, Neurology and Pathology and Forensic Medicine. According to data from OpenAlex, Stefanía Bianchi has authored 14 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Neurology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Stefanía Bianchi's work include Meningioma and schwannoma management (5 papers), Neurofibromatosis and Schwannoma Cases (3 papers) and Pituitary Gland Disorders and Treatments (2 papers). Stefanía Bianchi is often cited by papers focused on Meningioma and schwannoma management (5 papers), Neurofibromatosis and Schwannoma Cases (3 papers) and Pituitary Gland Disorders and Treatments (2 papers). Stefanía Bianchi collaborates with scholars based in Italy, Argentina and United States. Stefanía Bianchi's co-authors include Pietro Mortini, Marco Losa, Massimo Giovanelli, Lina Raffaella Barzaghi, Alberto Franzin, Marco Cenzato, Marzia Medone, Piero Picozzi, Massimo Filippi and Matilde Inglese and has published in prestigious journals such as Radiology, Journal of neurosurgery and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Stefanía Bianchi

14 papers receiving 523 citations

Author Peers

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

Author						Papers	Cites
Stefanía Bianchi	196	188	163	131	128	14	537
W D Robertson	117 0.6×	127 0.7×	240 1.5×	243 1.9×	156 1.2×	15	577
Sean A. McNatt	98 0.5×	59 0.3×	102 0.6×	222 1.7×	99 0.8×	16	497
Yoshihiro Minamida	206 1.1×	125 0.7×	132 0.8×	248 1.9×	229 1.8×	30	570
F. J. Hodges	77 0.4×	67 0.4×	119 0.7×	99 0.8×	221 1.7×	18	486
Anne-Laure Bernat	212 1.1×	111 0.6×	26 0.2×	236 1.8×	116 0.9×	28	503
Nathan S. Schlezinger	53 0.3×	126 0.7×	202 1.2×	385 2.9×	104 0.8×	22	589
Robert F. Saul	101 0.5×	58 0.3×	100 0.6×	184 1.4×	39 0.3×	16	456
Matthew D. Kay	64 0.3×	43 0.2×	56 0.3×	152 1.2×	83 0.6×	28	471
P.C. Davis	86 0.4×	179 1.0×	100 0.6×	113 0.9×	258 2.0×	14	591
Maria Grazia Egitto	89 0.5×	44 0.2×	66 0.4×	102 0.8×	28 0.2×	22	562

Countries citing papers authored by Stefanía Bianchi

Since Specialization

Citations

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

Fields of papers citing papers by Stefanía Bianchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefanía Bianchi

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