Fernando E. Ezquer

74 papers receiving 2.4k citations

Peers

Fernando E. Ezquer
Comparison fields: 5 of 101
  • Genetics 868
  • Cellular and Molecular Neuroscience 225
  • Biological Psychiatry 19
  • Rehabilitation 79
  • Neurology 77
Replace Marcelo Ezquer with:
Marcelo Ezquer Chile
William Hill United States
Xiaowen Bai United States
Gallia Graiani Italy
Guodong Gao China
Masaki Kondo Japan
Francesco S. Loffredo Italy
Rongcai Jiang China
Weilin Xu China
Keiko Naruse Japan
Fernando E. Ezquer relative to Marcelo Ezquer Chile Marcelo Ezquer's profile →
Citations per field
00.5×1.6×
Marcelo Ezquer · 1×
Citations per year

Countries citing papers authored by Fernando E. Ezquer

Since Specialization
Citations

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

Fields of papers citing papers by Fernando E. Ezquer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando E. Ezquer. 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 Fernando E. Ezquer. The network helps show where Fernando E. Ezquer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008286
2 2012142
3 2019122
4 2017117
5 2016106
6 201695
7 202093
8 200989
9 202076
10 200373
11 201169
12 201855
13 201554
14 201550
15 202248
16 201647
17 201844
18 201843
19 201241
20 201840

About Fernando E. Ezquer

Fernando E. Ezquer is a scholar working on Genetics, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine, Epidemiology and Physiology, having authored 79 papers that have together received 2.4k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (31 papers), Neurotransmitter Receptor Influence on Behavior (13 papers), Substance Abuse Treatment and Outcomes (9 papers), Alcohol Consumption and Health Effects (8 papers), Opioid Use Disorder Treatment (6 papers), Gut microbiota and health (5 papers), Neonatal and fetal brain pathology (4 papers) and Extracellular vesicles in disease (4 papers). The work is most often cited by research in Genetics (868 citations), Cellular and Molecular Neuroscience (225 citations), Biological Psychiatry (19 citations), Rehabilitation (79 citations) and Neurology (77 citations). Fernando E. Ezquer has collaborated with scholars based in Chile, Argentina and United States. Frequent co-authors include Marcelo Ezquer, Paulette A. Conget, Yedy Israel, Paola Morales, Mario Herrera‐Marschitz, Marı́a Elena Quintanilla, Alejandro J. Yáñez, David Contador, Valeska Simon and Micaela Ricca. Their work appears in journals such as International Journal of Molecular Sciences, Scientific Reports, Stem Cell Research & Therapy, Addiction Biology 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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