Marcelo Ezquer

77 papers receiving 2.4k citations

Peers

Marcelo Ezquer
Comparison fields: 5 of 102
  • Genetics 837
  • Cellular and Molecular Neuroscience 221
  • Rehabilitation 81
  • Nephrology 95
  • Neurology 71
Replace Fernando E. Ezquer with:
Fernando E. Ezquer Chile
Gallia Graiani Italy
Keiko Naruse Japan
Victoria Velarde Chile
Xiaowen Bai United States
Yoji Hamada Japan
Masaki Kondo Japan
Hideki Kamiya Japan
Francesco S. Loffredo Italy
Guodong Gao China
Marcelo Ezquer relative to Fernando E. Ezquer Chile Fernando E. Ezquer's profile →
Citations per field
00.5×1.5×
Fernando E. Ezquer · 1×
Citations per year

Countries citing papers authored by Marcelo Ezquer

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo Ezquer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marcelo 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 Marcelo Ezquer Line = papers co-authored together Marcelo 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 2013135
4 2019122
5 2017117
6 2016106
7 201695
8 202093
9 200989
10 202076
11 201169
12 201855
13 201554
14 201647
15 201844
16 201843
17 201241
18 201840
19 202239
20 201934

About Marcelo Ezquer

Marcelo Ezquer is a scholar working on Genetics, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine, Epidemiology and Rehabilitation, having authored 79 papers that have together received 2.4k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (28 papers), Neurotransmitter Receptor Influence on Behavior (12 papers), Substance Abuse Treatment and Outcomes (9 papers), Alcohol Consumption and Health Effects (8 papers), Opioid Use Disorder Treatment (5 papers), Extracellular vesicles in disease (5 papers), Neonatal and fetal brain pathology (4 papers) and Gut microbiota and health (4 papers). The work is most often cited by research in Genetics (837 citations), Cellular and Molecular Neuroscience (221 citations), Rehabilitation (81 citations), Nephrology (95 citations) and Neurology (71 citations). Marcelo Ezquer has collaborated with scholars based in Chile, Argentina and United States. Frequent co-authors include Fernando E. Ezquer, Paulette A. Conget, Alejandro J. Yáñez, Paola Morales, Yedy Israel, Marı́a Elena Quintanilla, Mario Herrera‐Marschitz, Valeska Simon, David Contador and Micaela Ricca. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences, 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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