Caterina P. Profaci

2.0k citations
9 papers · 1.2k indexed · 2 hit papers · h-index 8
Topics
Neuroscience and Neuropharmacology Research (3 papers)Receptor Mechanisms and Signaling (3 papers)Barrier Structure and Function Studies (2 papers)

In The Last Decade

Caterina P. Profaci

9 papers receiving 1.2k citations

Hit Papers

The blood–brain barrier in health and d...201320262017202120202013100200300400

Peers

Caterina P. Profaci
Comparison fields: 5 of 104
  • Neurology 394
  • Cellular and Molecular Neuroscience 333
  • Physiology 323
  • Molecular Biology 316
  • Cognitive Neuroscience 253
Replace Scarlett J. Barker with:
Scarlett J. Barker United States
Elizabeth Bien United States
Jiyun Peng China
Pascal E. Sanchez United States
Cristina Bertollini Italy
Maria Amalia Di Castro Italy
Hélène Hirbec France
Matthew Kirkcaldie Australia
Raffaella Morini Italy
Caterina P. Profaci relative to Scarlett J. Barker United States Scarlett J. Barker's profile →
Citations per field
00.5×1.5×
Scarlett J. Barker · 1×
Citations per year

Countries citing papers authored by Caterina P. Profaci

Since Specialization
Citations

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

Fields of papers citing papers by Caterina P. Profaci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caterina P. Profaci. 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 Caterina P. Profaci. The network helps show where Caterina P. Profaci may publish in the future.

Co-authorship network of co-authors of Caterina P. Profaci

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 2
2 111
3
The blood–brain barrier in health and disease: Important unanswered questionsbreakdown →
476
4 21
5
Molecular drivers and cortical spread of lateral entorhinal cortex dysfunction in preclinical Alzheimer's diseasebreakdown →
409
6 20
7 45
8 22
9 75

About Caterina P. Profaci

Caterina P. Profaci is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 9 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Receptor Mechanisms and Signaling (3 papers) and Barrier Structure and Function Studies (2 papers). The work is most often cited by research in Neurology (394 citations), Biological Psychiatry (53 citations) and Cellular and Molecular Neuroscience (333 citations). Caterina P. Profaci has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Richard Daneman, Robert S. Pulido, Roeben N. Munji, Karen Duff, Richard P. Sloan, Usman Khan, Li Liu, Diego E. Berman, Scott A. Small and Richard Mayeux. Their work appears in journals such as Neuron, The Journal of Experimental Medicine and Journal of Neuroscience.

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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