Luísa Cortes

1.9k citations
43 papers · 1.5k indexed · h-index 22

Impact in

Papers in

Luísa Cortes

43 papers receiving 1.5k citations

Peers

Luísa Cortes
Comparison fields: 5 of 108
  • Developmental Neuroscience 130
  • Cellular and Molecular Neuroscience 454
  • Neurology 199
  • Immunology and Allergy 100
  • Biological Psychiatry 38
Replace Sathyaseelan S. Deepa with:
Sathyaseelan S. Deepa United States
Carme Pelegrı́ Spain
Michael Mäder Germany
Guang Bai United States
Soo‐Young Choi South Korea
Kuniko Shimazaki Japan
Sandra Chang United States
John W. Bigbee United States
Yang Zhou China
Luísa Cortes relative to Sathyaseelan S. Deepa United States Sathyaseelan S. Deepa's profile →
Citations per field
00.5×1.5×
Sathyaseelan S. Deepa · 1×
Citations per year

Countries citing papers authored by Luísa Cortes

Since Specialization
Citations

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

Fields of papers citing papers by Luísa Cortes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Luísa Cortes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Luísa Cortes Line = papers co-authored together Luísa Cortes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20245
3 20235
4 20238
5 20223
6 202014
7 201688
8 201267
9 201221
10 201166
11 201169
12 2011119
13 201118
14 201052
15 200940
16 200754
17 200621
18 200560
19 199868
20 19911

About Luísa Cortes

Luísa Cortes is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Neurology, Complementary and Manual Therapy and Endocrine and Autonomic Systems, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Genetic Neurodegenerative Diseases (4 papers), Neuropeptides and Animal Physiology (4 papers), RNA Interference and Gene Delivery (3 papers), Neuroscience and Neural Engineering (3 papers) and Nuclear Structure and Function (3 papers). The work is most often cited by research in Developmental Neuroscience (130 citations), Cellular and Molecular Neuroscience (454 citations), Neurology (199 citations), Immunology and Allergy (100 citations) and Biological Psychiatry (38 citations). Luísa Cortes has collaborated with scholars based in Portugal, United States and Spain. Frequent co-authors include João O. Malva, Tiago Santos, Raquel Ferreira, Liliana Bernardino, Fabienne Agasse, Sara Xapelli, Paula Verı́ssimo, Euclides Pires, Ana Paula Silva and Sandra Macedo‐Ribeiro. Their work appears in journals such as Journal of Neuroinflammation, Science Signaling, ACS Nano, International Journal of Molecular Sciences and PLoS ONE.

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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