María Gutiérrez‐Fernández

2.8k citations
55 papers · 2.0k indexed · h-index 24
Topics
Mesenchymal stem cell research (16 papers)Extracellular vesicles in disease (15 papers)Neurological Disease Mechanisms and Treatments (11 papers)
Partner nations
SpainFinlandFrance

In The Last Decade

María Gutiérrez‐Fernández

53 papers receiving 1.9k citations

Peers

María Gutiérrez‐Fernández
Comparison fields: 5 of 92
  • Molecular Biology 864
  • Genetics 704
  • Neurology 652
  • Cancer Research 353
  • Developmental Neuroscience 343
Replace Berta Rodríguez‐Frutos with:
Berta Rodríguez‐Frutos Spain
Luca Peruzzotti‐Jametti United Kingdom
A Andrzejewska Poland
Cindy T. J. van Velthoven United States
Ermanna Turano Italy
Benjamin Buller United States
Hideo Shichinohe Japan
Fanxia Shen United States
Masahito Kawabori Japan
Irene Ginis United States
María Gutiérrez‐Fernández relative to Berta Rodríguez‐Frutos Spain Berta Rodríguez‐Frutos's profile →
Citations per field
00.5×4.2×
Berta Rodríguez‐Frutos · 1×
Citations per year

Countries citing papers authored by María Gutiérrez‐Fernández

Since Specialization
Citations

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

Fields of papers citing papers by María Gutiérrez‐Fernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Gutiérrez‐Fernández. 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 María Gutiérrez‐Fernández. The network helps show where María Gutiérrez‐Fernández may publish in the future.

Co-authorship network of co-authors of María Gutiérrez‐Fernández

This figure shows the co-authorship network connecting the top 25 collaborators of María Gutiérrez‐Fernández. A scholar is included among the top collaborators of María Gutiérrez‐Fernández based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with María Gutiérrez‐Fernández. María Gutiérrez‐Fernández is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 3
3 0
4 5
5 5
6 4
7 24
8 22
9 3
10 25
11 18
12 7
13 1
14 19
15 93
16 9
17 46
18 115
19 41
20 52

About María Gutiérrez‐Fernández

María Gutiérrez‐Fernández is a scholar working on Neurology, Genetics and Developmental Neuroscience, having authored 55 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (16 papers), Extracellular vesicles in disease (15 papers) and Neurological Disease Mechanisms and Treatments (11 papers). The work is most often cited by research in Developmental Neuroscience (343 citations), Neurology (652 citations) and Genetics (704 citations). María Gutiérrez‐Fernández has collaborated with scholars based in Spain, Finland and France. Frequent co-authors include Exuperio Díez‐Tejedor, Blanca Fuentes, Berta Rodríguez‐Frutos, Laura Otero‐Ortega, Jaime Ramos‐Cejudo, María Teresa Vallejo‐Cremades, Fernando Laso-García, Sebastián Cerdán, Luke Diekhorst and Gerardo Ruiz‐Ares. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Biomaterials.

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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