Laura A. Pasquini

1.6k citations
41 papers · 1.3k indexed · h-index 21
Topics
Neuroinflammation and Neurodegeneration Mechanisms (10 papers)Ubiquitin and proteasome pathways (10 papers)Galectins and Cancer Biology (10 papers)

In The Last Decade

Laura A. Pasquini

39 papers receiving 1.3k citations

Peers

Laura A. Pasquini
Comparison fields: 5 of 88
  • Molecular Biology 638
  • Neurology 386
  • Immunology 366
  • Developmental Neuroscience 255
  • Physiology 218
Replace Yiting Liu with:
Yiting Liu China
Christian Schmeer Germany
Karen Lariosa‐Willingham United States
Young‐Mi Yu United States
Martina Moeton Netherlands
Alerie Guzman de la Fuente United Kingdom
Toni Paladino Canada
Subhas C. Biswas India
Khalil S. Rawji Canada
Samantha L. Budd Haeberlein Sweden
Laura A. Pasquini relative to Yiting Liu China Yiting Liu's profile →
Citations per field
00.5×1.5×
Yiting Liu · 1×
Citations per year

Countries citing papers authored by Laura A. Pasquini

Since Specialization
Citations

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

Fields of papers citing papers by Laura A. Pasquini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura A. Pasquini. 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 Laura A. Pasquini. The network helps show where Laura A. Pasquini may publish in the future.

Co-authorship network of co-authors of Laura A. Pasquini

This figure shows the co-authorship network connecting the top 25 collaborators of Laura A. Pasquini. A scholar is included among the top collaborators of Laura A. Pasquini 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 Laura A. Pasquini. Laura A. Pasquini 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 0
2 0
3 12
4 14
5 58
6 15
7 18
8 20
9 12
10
Retinotopic glial alterations on the Superior Colliculus in an experimental model of glaucoma
1
11 51
12 34
13 47
14 15
15 75
16 138
17 6
18 10
19 120
20 16

About Laura A. Pasquini

Laura A. Pasquini is a scholar working on Developmental Neuroscience, Neurology and Immunology, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Ubiquitin and proteasome pathways (10 papers) and Galectins and Cancer Biology (10 papers). The work is most often cited by research in Developmental Neuroscience (255 citations), Neurology (386 citations) and Immunology (366 citations). Laura A. Pasquini has collaborated with scholars based in Argentina, United States and Chile. Frequent co-authors include Juana M. Pasquini, Eduardo F. Soto, Laura E. Thomas, Gabriel A. Rabinovich, Marcos Moreno, Mariel Marder, Susana M. Gallego, Liliana B. Pena, Marı́a L. Tomaro and Ana M. Adamo. Their work appears in journals such as Journal of Neuroscience, FEBS Letters and Journal of Neurochemistry.

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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