Marcelo Ezquer

72 papers receiving 2.2k citations

Peers

Marcelo Ezquer
Comparison fields: 5 of 108
  • Genetics 794
  • Biological Psychiatry 115
  • Developmental Neuroscience 89
  • Neurology 155
  • Rehabilitation 118
Replace Fernando Ezquer with:
Fernando Ezquer Chile
Abdelkrim Hmadcha Spain
Stefano Angiari Italy
Ermanna Turano Italy
Francesco Bifari Italy
Kazuma Sakamoto Japan
Sergio Caballero United States
Iraj Ragerdi Kashani Iran
Michael P. Murphy United States
Jaime Ramos‐Cejudo United States
Marcelo Ezquer relative to Fernando Ezquer Chile Fernando Ezquer's profile →
Citations per field
00.5×1.5×
Fernando 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 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008264
2 2012133
3 2013125
4 2017113
5 2019112
6 2016100
7 201690
8 202087
9 200986
10 201163
11 202062
12 201553
13 201850
14 201842
15 201842
16 201639
17 201239
18 201835
19 201931
20 201730

About Marcelo Ezquer

Marcelo Ezquer is a scholar working on Genetics, Molecular Biology, Physiology, Surgery and Cellular and Molecular Neuroscience, having authored 78 papers that have together received 2.2k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (17 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Neuroscience and Neuropharmacology Research (7 papers), Tissue Engineering and Regenerative Medicine (6 papers), Tryptophan and brain disorders (6 papers), Pancreatic function and diabetes (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Prenatal Substance Exposure Effects (5 papers). The work is most often cited by research in Genetics (794 citations), Biological Psychiatry (115 citations), Developmental Neuroscience (89 citations), Neurology (155 citations) and Rehabilitation (118 citations). Marcelo Ezquer has collaborated with scholars based in Chile, Argentina and United States. Frequent co-authors include Fernando Ezquer, Paulette Conget, Daniel Carpio, Alejandro J. Yáñez, Marı́a Elena Quintanilla, Yedy Israel, Mario Herrera‐Marschitz, Paola Morales, Valeska Simon and M Ricca. Their work appears in journals such as Scientific Reports, Stem Cell Research & Therapy, International Journal of Molecular Sciences, Addiction Biology and Biological Research.

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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