Fernanda Gubert

673 citations
28 papers · 493 · h-index 13

Impact in

    • Neurogenesis and neuroplasticity mechanisms
  • Genetics top 10%
    • Mesenchymal stem cell research
    • Neurogenetic and Muscular Disorders Research

Papers in

    • Pluripotent Stem Cells Research 9
    • CRISPR and Genetic Engineering 4
    • Neurogenetic and Muscular Disorders Research 7
    • Mesenchymal stem cell research 6

Fernanda Gubert

28 papers receiving 486 citations

Peers

Fernanda Gubert
Comparison fields: 5 of 74
  • Developmental Neuroscience 133
  • Genetics 136
  • Cellular and Molecular Neuroscience 153
  • Neurology 60
  • Ophthalmology 42
Replace Masashi Takata with:
Masashi Takata Japan
Silmara de Lima Brazil
Nuno Jorge Lamas Portugal
Francisco Javier Rodríguez-Jiménez Spain
Le Tian China
Federica Cerri Italy
Akimasa Yano Japan
Russell M. Howard United States
Xiufeng Tang China
Massimiliano Cristofanilli United States
Fernanda Gubert relative to Masashi Takata Japan Masashi Takata's profile →
Citations per field
00.5×3.5×
Masashi Takata · 1×
Citations per year

Countries citing papers authored by Fernanda Gubert

Since Specialization
Citations

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

Fields of papers citing papers by Fernanda Gubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201482
2 201053
3 200851
4 201929
5 202128
6 201927
7 202227
8 201426
9 201925
10 202221
11 201620
12 201919
13 202218
14 201910
15 20208
16 20128
17 20188
18 20217
19 20195
20 20155

About Fernanda Gubert

Fernanda Gubert is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Neurology and Developmental Neuroscience, having authored 28 papers that have together received 493 indexed citations. Recurring topics across this work include Nerve injury and regeneration (9 papers), Pluripotent Stem Cells Research (9 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Amyotrophic Lateral Sclerosis Research (7 papers), Neurogenetic and Muscular Disorders Research (7 papers), Mesenchymal stem cell research (6 papers), CRISPR and Genetic Engineering (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Developmental Neuroscience (133 citations), Genetics (136 citations), Cellular and Molecular Neuroscience (153 citations), Neurology (60 citations) and Ophthalmology (42 citations). Fernanda Gubert has collaborated with scholars based in Brazil, Czechia and United Kingdom. Frequent co-authors include Rosalia Méndez‐Otero, Marcelo F. Santiago, Camila Zaverucha-do-Valle, Louise A. Mesentier‐Louro, Pedro M. Pimentel‐Coelho, Fernanda Tovar‐Moll, André Luiz Mencalha, Eliana Abdelhay, Taís Hanae Kasai-Brunswick and Gisele Zapata‐Sudo. Their work appears in journals such as Stem Cell Research, Brain Research, Stem Cell Research & Therapy, Scientific Reports and Journal of Neurochemistry.

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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