Iván Carrera

56 papers receiving 1.0k citations

Peers

Iván Carrera
Comparison fields: 5 of 105
  • Developmental Neuroscience 77
  • Cellular and Molecular Neuroscience 187
  • Nature and Landscape Conservation 116
  • Neurology 77
  • Pharmacology 79
Replace Wei Fun Cheong with:
Wei Fun Cheong Singapore
Yatinesh Kumari Malaysia
Wagner Seixas da‐Silva Brazil
Jacques Bodennec France
Guilherme R. Souza Brazil
Olof Tottmar Sweden
Ricardo Gredilla Spain
Donald A. Bruun United States
Chengzhong Wang China
Sonia Sanz Muñoz Australia
Iván Carrera relative to Wei Fun Cheong Singapore Wei Fun Cheong's profile →
Citations per field
00.5×4.5×
Wei Fun Cheong · 1×
Citations per year

Countries citing papers authored by Iván Carrera

Since Specialization
Citations

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

Fields of papers citing papers by Iván Carrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Iván Carrera, 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 Iván Carrera Line = papers co-authored together Iván Carrera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200480
2 201866
3 201661
4 202053
5 201247
6 200844
7 201741
8 201639
9 200738
10 200837
11 200733
12 200433
13 201031
14 200729
15 201226
16 202025
17 201223
18 201222
19 201522
20 201321

About Iván Carrera

Iván Carrera is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Pharmacology and Computational Theory and Mathematics, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (12 papers), Computational Drug Discovery Methods (8 papers), Cholinesterase and Neurodegenerative Diseases (8 papers), Sirtuins and Resveratrol in Medicine (6 papers), Ichthyology and Marine Biology (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Developmental Neuroscience (77 citations), Cellular and Molecular Neuroscience (187 citations), Nature and Landscape Conservation (116 citations), Neurology (77 citations) and Pharmacology (79 citations). Iván Carrera has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Ramón Cacabelos, Isabel Rodríguez‐Moldes, Ramón Anadón, L. Fernández‐Novoa, Valter Lombardi, Lola Corzo, Susana Ferreiro‐Galve, Pilar Molíst, Juan C. Carril and Olaia Martínez-Iglesias. Their work appears in journals such as Pharmaceuticals, The Journal of Comparative Neurology, Life, International Journal of Alzheimer s Disease 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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