Victòria Ayala

4.6k total citations
75 papers, 3.3k citations indexed

About

Victòria Ayala is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Victòria Ayala has authored 75 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 28 papers in Physiology and 18 papers in Neurology. Recurrent topics in Victòria Ayala's work include Amyotrophic Lateral Sclerosis Research (16 papers), Mitochondrial Function and Pathology (15 papers) and Adipose Tissue and Metabolism (13 papers). Victòria Ayala is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (16 papers), Mitochondrial Function and Pathology (15 papers) and Adipose Tissue and Metabolism (13 papers). Victòria Ayala collaborates with scholars based in Spain, United States and Canada. Victòria Ayala's co-authors include Reinald Pamplona, Manuel Portero-Otı́n, Isidró Ferrer, Mariona Jové, Alba Naudí, Gustavo Barja, Esther Dalfó, Marı́a Josep Bellmunt, Pilar Caro and Rosanna Cabré and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Victòria Ayala

72 papers receiving 3.3k citations

Peers

Victòria Ayala
Comparison fields: 5 of 131
  • Molecular Biology 1.6k
  • Physiology 1.2k
  • Neurology 608
  • Aging 374
  • Cell Biology 303
Replace Mariona Jové with:
Mariona Jové Spain
Alba Naudí Spain
Gino Cortopassi United States
Pınar Coşkun United States
Adam L. Orr United States
Federico Herrera Spain
Guillermo López‐Lluch Spain
Luke Esposito United States
Elena Katsyuba Switzerland
Johanna Ojala Finland
Mariona Jové Spain View profile →
Citations per field, relative to Victòria Ayala
Victòria Ayala · 1×
Citations per year, relative to Victòria Ayala
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Countries citing papers authored by Victòria Ayala

Since Specialization
Citations

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

Fields of papers citing papers by Victòria Ayala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victòria Ayala

This figure shows the co-authorship network connecting the top 25 collaborators of Victòria Ayala. A scholar is included among the top collaborators of Victòria Ayala 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 Victòria Ayala. Victòria Ayala 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
# Work Indexed citations
1 3
2 0
3 1
4 12
5 13
6 2
7 3
8 38
9 84
10 33
11 18
12 3
13 11
14 20
15 88
16 17
17 95
18 190
19 48
20 234

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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