Fernando Laso-García

1.2k citations
31 papers · 720 indexed · h-index 12
Topics
Extracellular vesicles in disease (16 papers)Mesenchymal stem cell research (7 papers)Acute Ischemic Stroke Management (6 papers)
Partner nations
SpainFinlandFrance

In The Last Decade

Fernando Laso-García

30 papers receiving 712 citations

Peers

Fernando Laso-García
Comparison fields: 5 of 63
  • Molecular Biology 520
  • Cancer Research 290
  • Genetics 173
  • Neurology 146
  • Neurology 77
Replace Marianne Joerger-Messerli with:
Marianne Joerger-Messerli Switzerland
Lite Ge China
Ana Paiva Portugal
Gabryella S. P. Santos Brazil
Katsuyuki Oki Japan
Johnathon D. Anderson United States
Julia P. Andreotti Brazil
Jessica Schira‐Heinen Germany
Quynh Vu United States
Masaaki Kohta Japan
Fernando Laso-García relative to Marianne Joerger-Messerli Switzerland Marianne Joerger-Messerli's profile →
Citations per field
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Marianne Joerger-Messerli · 1×
Citations per year

Countries citing papers authored by Fernando Laso-García

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Laso-García

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Laso-García

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Laso-García. A scholar is included among the top collaborators of Fernando Laso-García 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 Fernando Laso-García. Fernando Laso-García 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 1
2 1
3 3
4 5
5 5
6 6
7 22
8 6
9 3
10 3
11 25
12 5
13 51
14 8
15 19
16 25
17 7
18 93
19 9
20 161

About Fernando Laso-García

Fernando Laso-García is a scholar working on Neurology, Genetics and Neurology, having authored 31 papers that have together received 720 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (16 papers), Mesenchymal stem cell research (7 papers) and Acute Ischemic Stroke Management (6 papers). The work is most often cited by research in Cancer Research (290 citations), Neurology (146 citations) and Genetics (173 citations). Fernando Laso-García has collaborated with scholars based in Spain, Finland and France. Frequent co-authors include Laura Otero‐Ortega, Exuperio Díez‐Tejedor, María Gutiérrez‐Fernández, Blanca Fuentes, Luke Diekhorst, Mari Carmen Gómez-de Frutos, Berta Rodríguez‐Frutos, Míriam Mecha, María Alonso de Leciñana and Jaime Ramos‐Cejudo. Their work appears in journals such as PLoS ONE, Stroke and Scientific Reports.

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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