Daniele Ferrari

81 total papers · 508 total citations
23 papers, 300 citations indexed

About

Daniele Ferrari is a scholar working on Physiology, Ophthalmology and Neurology. According to data from OpenAlex, Daniele Ferrari has authored 23 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Ophthalmology and 3 papers in Neurology. Recurrent topics in Daniele Ferrari's work include Glaucoma and retinal disorders (3 papers), Immunotherapy and Immune Responses (3 papers) and Retinal Diseases and Treatments (2 papers). Daniele Ferrari is often cited by papers focused on Glaucoma and retinal disorders (3 papers), Immunotherapy and Immune Responses (3 papers) and Retinal Diseases and Treatments (2 papers). Daniele Ferrari collaborates with scholars based in Italy, Brazil and Germany. Daniele Ferrari's co-authors include Carlo Enrico Traverso, Sergio Claudio Saccà, Paolo Corazza, Carlo Alberto Cutolo, Mariza Bortolanza, Elaine Aparecida Del Bel, Glauce Crivelaro Nascimento, Nilson C. Ferreira‐Junior, Francisco Silveira Guimarães and Miguel A. Teus and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Nutrients.

In The Last Decade

Daniele Ferrari

21 papers receiving 292 citations

Author Peers

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

Author Last Decade Papers Cites
Daniele Ferrari 95 61 53 52 50 23 300
Alden Mead 195 2.1× 127 2.1× 34 0.6× 58 1.1× 43 0.9× 12 332
Douglas A. Hubatsch 94 1.0× 103 1.7× 26 0.5× 67 1.3× 42 0.8× 16 353
A. Kharlamb 141 1.5× 73 1.2× 63 1.2× 73 1.4× 21 0.4× 13 242
Lidawani Lambuk 134 1.4× 126 2.1× 17 0.3× 13 0.3× 32 0.6× 19 310
Sivert Bjurström 52 0.5× 98 1.6× 14 0.3× 26 0.5× 30 0.6× 19 343
Angela C. Gauthier 136 1.4× 108 1.8× 16 0.3× 18 0.3× 50 1.0× 17 329
Aloisa Librando 173 1.8× 76 1.2× 31 0.6× 44 0.8× 65 1.3× 25 301
Teh‐Ching Chu 105 1.1× 181 3.0× 24 0.5× 30 0.6× 18 0.4× 31 339
Masaaki Sasaoka 197 2.1× 144 2.4× 14 0.3× 11 0.2× 52 1.0× 17 306
Dae Hee Kim 67 0.7× 74 1.2× 20 0.4× 11 0.2× 65 1.3× 29 258

Countries citing papers authored by Daniele Ferrari

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Ferrari

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