David Aguado‐Llera

774 citations
23 papers · 381 indexed · h-index 12
Topics
Alzheimer's disease research and treatments (6 papers)Protein Structure and Dynamics (4 papers)Neuroscience and Neuropharmacology Research (3 papers)
Partner nations
SpainBelgiumFrance

In The Last Decade

David Aguado‐Llera

23 papers receiving 376 citations

Peers

David Aguado‐Llera
Comparison fields: 5 of 72
  • Molecular Biology 215
  • Physiology 112
  • Cellular and Molecular Neuroscience 99
  • Neurology 41
  • Genetics 37
Replace Julia W. Cohen with:
Julia W. Cohen United States
Vera Medvedeva United States
James Robinson United Kingdom
Ayami Nakazawa Japan
Dove Keith United States
Johnatan Ceccom France
Małgorzata Duszczyk Poland
Hidekuni Yamakawa Japan
Balasubramaniam Annamalai United States
Hongtian Yang United States
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Citations per field
00.5×1.5×1.9×
Julia W. Cohen · 1×
Citations per year

Countries citing papers authored by David Aguado‐Llera

Since Specialization
Citations

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

Fields of papers citing papers by David Aguado‐Llera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Aguado‐Llera. 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 David Aguado‐Llera. The network helps show where David Aguado‐Llera may publish in the future.

Co-authorship network of co-authors of David Aguado‐Llera

This figure shows the co-authorship network connecting the top 25 collaborators of David Aguado‐Llera. A scholar is included among the top collaborators of David Aguado‐Llera 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 David Aguado‐Llera. David Aguado‐Llera 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 8
2 18
3 12
4 40
5 4
6 5
7 5
8 1
9 8
10 13
11 3
12 9
13 11
14 26
15 69
16 8
17 20
18 14
19 21
20 43

About David Aguado‐Llera

David Aguado‐Llera is a scholar working on Developmental Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 381 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Protein Structure and Dynamics (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (99 citations), Neurology (41 citations) and Physiology (112 citations). David Aguado‐Llera has collaborated with scholars based in Spain, Belgium and France. Frequent co-authors include E. Arilla, Vicente Barrios, José L. Neira, Emma Burgos‐Ramos, América Hervás‐Aguilar, Alberto M. Hernández‐Pinto, Jesús Argente, Ángel Campos‐Barros, Laura M. Frago and Julie A. Chowen. Their work appears in journals such as PLoS ONE, Biochemistry and FEBS Letters.

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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