Raffaele Ferrari

1.9k citations
11 papers · 681 indexed · 1 hit paper · h-index 7
Topics
Alzheimer's disease research and treatments (7 papers)Bioinformatics and Genomic Networks (3 papers)Amyotrophic Lateral Sclerosis Research (3 papers)

In The Last Decade

Raffaele Ferrari

11 papers receiving 669 citations

Hit Papers

Genome, transcriptome and proteome: the rise of omics dat...20162026201920222016100200300400

Peers

Raffaele Ferrari
Comparison fields: 5 of 127
  • Molecular Biology 381
  • Physiology 126
  • Neurology 86
  • Cancer Research 63
  • Genetics 61
Replace Demis A. Kia with:
Demis A. Kia United Kingdom
Odile Carrette Switzerland
Lijun Dai China
Valéria de Mello Coelho Brazil
Zhen Qi United States
Jin Hee Shin South Korea
Jongmin Jacob Woo United States
Piruz Nahreini United States
Yong Shen China
María C. Ramos Spain
Raffaele Ferrari relative to Demis A. Kia United Kingdom Demis A. Kia's profile →
Citations per field
00.5×
Demis A. Kia · 1×
Citations per year

Countries citing papers authored by Raffaele Ferrari

Since Specialization
Citations

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

Fields of papers citing papers by Raffaele Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raffaele Ferrari

This figure shows the co-authorship network connecting the top 25 collaborators of Raffaele Ferrari. A scholar is included among the top collaborators of Raffaele 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 Raffaele Ferrari. Raffaele Ferrari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 16
2 6
3 48
4 33
5
Genome, transcriptome and proteome: the rise of omics data and their integration in biomedical sciencesbreakdown →
484
6 6
7 29
8 35
9 1
10 5
11 18

About Raffaele Ferrari

Raffaele Ferrari is a scholar working on Physiology, Neurology and Neurology, having authored 11 papers that have together received 681 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Bioinformatics and Genomic Networks (3 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). The work is most often cited by research in Neurology (52 citations), Neurology (86 citations) and Biological Psychiatry (14 citations). Raffaele Ferrari has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include John Hardy, Claudia Manzoni, Jana Vandrovcová, Patrick A. Lewis, Demis A. Kia, Nicholas Wood, Parastoo Momeni, Mina Ryten, Michael E. Weale and Joan Reisch. Their work appears in journals such as Neurobiology of Aging, Journal of Neuropathology & Experimental Neurology and Briefings in Bioinformatics.

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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