Gino B. Ferraro

5.3k citations
34 papers · 2.9k indexed · 3 hit papers · h-index 18

Gino B. Ferraro

31 papers receiving 2.9k citations

Hit Papers

The blood–brain barrier and blood–tumour barrier in brain...20182026202020232019201820202505007501000

Peers

Gino B. Ferraro
Comparison fields: 5 of 117
  • Molecular Biology 1.2k
  • Oncology 721
  • Biomedical Engineering 683
  • Cancer Research 490
  • Pulmonary and Respiratory Medicine 445
Replace Hugo Guerrero‐Cazares with:
Hugo Guerrero‐Cazares United States
Irina V. Balyasnikova United States
Helen L. Fillmore United States
Mariano S. Viapiano United States
Rutong Yu China
Martin Proescholdt Germany
Nikolai G. Rainov Germany
Joseph Najbauer United States
Dennis R. Groothuis United States
Christoph P. Beier Denmark
Gino B. Ferraro relative to Hugo Guerrero‐Cazares United States Hugo Guerrero‐Cazares's profile →
Citations per field
00.5×
Hugo Guerrero‐Cazares · 1×
Citations per year

Countries citing papers authored by Gino B. Ferraro

Since Specialization
Citations

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

Fields of papers citing papers by Gino B. Ferraro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gino B. Ferraro. 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 Gino B. Ferraro. The network helps show where Gino B. Ferraro may publish in the future.

Co-authorship network of co-authors of Gino B. Ferraro

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 5
3 0
4
A metastasis map of human cancer cell linesbreakdown →
272
5
The blood–brain barrier and blood–tumour barrier in brain tumours and metastasesbreakdown →
1173
6
Chemotherapy elicits pro-metastatic extracellular vesicles in breast cancer modelsbreakdown →
414
7 16
8 19
9 24
10 106
11 57
12 75
13 0
14 30
15 70
16 60
17 1
18 120
19 14
20 48

About Gino B. Ferraro

Gino B. Ferraro is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Genetics, having authored 34 papers that have together received 2.9k indexed citations. Recurring topics across this work include Nerve injury and regeneration (9 papers), Glioma Diagnosis and Treatment (6 papers) and Signaling Pathways in Disease (6 papers). The work is most often cited by research in Genetics (442 citations), Developmental Neuroscience (169 citations) and Cancer Research (490 citations). Gino B. Ferraro has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Rakesh K. Jain, Costas Arvanitis, Alyson E. Fournier, Vasileios Askoxylakis, Dai Fukumura, David P. Kodack, Ricardo Sanz‐Fernández, Chiara Cianciaruso, Ioanna Keklikoglou and Aditya Bardia. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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