Fernando Ezquer

73 papers receiving 2.2k citations

Peers

Fernando Ezquer
Comparison fields: 5 of 106
  • Genetics 735
  • Biological Psychiatry 118
  • Developmental Neuroscience 86
  • Rehabilitation 100
  • Neurology 128
Replace Marcelo Ezquer with:
Marcelo Ezquer Chile
Abdelkrim Hmadcha Spain
Michael P. Murphy United States
Francesco S. Loffredo Italy
Yan Peng China
Kazuma Sakamoto Japan
Francesco Bifari Italy
Iraj Ragerdi Kashani Iran
Jaime Ramos‐Cejudo United States
Qiuli Liu China
Fernando Ezquer relative to Marcelo Ezquer Chile Marcelo Ezquer's profile →
Citations per field
00.5×1.5×
Marcelo Ezquer · 1×
Citations per year

Countries citing papers authored by Fernando Ezquer

Since Specialization
Citations

This map shows the geographic impact of Fernando 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 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 Ezquer more than expected).

Fields of papers citing papers by Fernando Ezquer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fernando 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 Ezquer Line = papers co-authored together Fernando 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 2008265
2 2012134
3 2017115
4 2019115
5 2016102
6 201691
7 202091
8 200987
9 200371
10 202068
11 201165
12 201553
13 201851
14 201548
15 202246
16 201842
17 201842
18 201240
19 201839
20 201639

About Fernando Ezquer

Fernando Ezquer is a scholar working on Genetics, Neurology, Molecular Biology, Surgery and Cellular and Molecular Neuroscience, having authored 79 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (17 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Tryptophan and brain disorders (7 papers), Nerve injury and regeneration (6 papers), Tissue Engineering and Regenerative Medicine (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Genetics (735 citations), Biological Psychiatry (118 citations), Developmental Neuroscience (86 citations), Rehabilitation (100 citations) and Neurology (128 citations). Fernando Ezquer has collaborated with scholars based in Chile, Argentina and United States. Frequent co-authors include Marcelo Ezquer, Paulette Conget, Daniel Carpio, Yedy Israel, Paola Morales, Marı́a Elena Quintanilla, Mario Herrera‐Marschitz, Alejandro J. Yáñez, David Contador and Valeska Simon. Their work appears in journals such as International Journal of Molecular Sciences, Stem Cell Research & Therapy, Scientific Reports, 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.

Explore authors with similar magnitude of impact