Bianca Pacini

466 citations
19 papers · 302 · h-index 10

Impact in

Papers in

Bianca Pacini

18 papers receiving 290 citations

Peers

Bianca Pacini
Comparison fields: 5 of 24
  • Ophthalmology 223
  • Radiology, Nuclear Medicine and Imaging 287
  • Neurology 37
  • Genetics 48
  • Molecular Biology 17
Replace Lorenzo De Angelis with:
Lorenzo De Angelis Italy
Fabrizio Franco Italy
Gianluca Besozzi Italy
Takatoshi Maeno Japan
Sui Chien Wong United Kingdom
Chong Lye Ang Singapore
Hassan Khojasteh Iran
Bernardete Pessoa Portugal
S. Guigou France
George J. Manayath India
Bianca Pacini relative to Lorenzo De Angelis Italy Lorenzo De Angelis's profile →
Citations per field
00.5×1.7×
Lorenzo De Angelis · 1×
Citations per year

Countries citing papers authored by Bianca Pacini

Since Specialization
Citations

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

Fields of papers citing papers by Bianca Pacini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bianca Pacini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bianca Pacini Line = papers co-authored together Bianca Pacini links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201949
2 202046
3 201945
4 201930
5 202024
6 202020
7 202018
8 201918
9 202012
10 202011
11 20216
12 20195
13 20195
14 20194
15 20214
16 20202
17 20222
18 20241
19
Calcificações torácicas na ressonância magnética: correlações com a tomografia computadorizada
20190

About Bianca Pacini

Bianca Pacini is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Genetics and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 302 indexed citations. Recurring topics across this work include Retinal and Macular Surgery (14 papers), Corneal Surgery and Treatments (10 papers), Intraocular Surgery and Lenses (10 papers), Glaucoma and retinal disorders (4 papers), Retinal Diseases and Treatments (4 papers), Retinal Development and Disorders (3 papers), Ocular Disorders and Treatments (2 papers) and Trypanosoma species research and implications (1 paper). The work is most often cited by research in Ophthalmology (223 citations), Radiology, Nuclear Medicine and Imaging (287 citations), Neurology (37 citations), Genetics (48 citations) and Molecular Biology (17 citations). Bianca Pacini has collaborated with scholars based in Italy, France and Japan. Frequent co-authors include Stanislao Rizzo, Tomaso Caporossi, Lorenzo De Angelis, Francesco Barca, Ruggero Tartaro, Daniela Bacherini, Lucia Finocchio, Francesco Faraldi, Enrico Peiretti and Gianni Virgili. Their work appears in journals such as Retina, Acta Ophthalmologica, Scientific Reports, Ophthalmic Genetics and Ophthalmology Retina.

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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