Ainara Egia

7.1k total citations · 3 hit papers
23 papers, 5.7k citations indexed

About

Ainara Egia is a scholar working on Molecular Biology, Pharmacology and Epidemiology. According to data from OpenAlex, Ainara Egia has authored 23 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Pharmacology and 6 papers in Epidemiology. Recurrent topics in Ainara Egia's work include Cannabis and Cannabinoid Research (7 papers), Autophagy in Disease and Therapy (6 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Ainara Egia is often cited by papers focused on Cannabis and Cannabinoid Research (7 papers), Autophagy in Disease and Therapy (6 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Ainara Egia collaborates with scholars based in United States, Spain and Italy. Ainara Egia's co-authors include Arkaitz Carracedo, Pier Paolo Pandolfi, Leonardo Salmena, Julie Teruya‐Feldstein, Caterina Nardella, Min Sup Song, Andrea Alimonti, Manuel Guzmán, Jiangwen Zhang and Guillermo Velasco and has published in prestigious journals such as Nature, Cell and Journal of Clinical Investigation.

In The Last Decade

Ainara Egia

23 papers receiving 5.6k citations

Hit Papers

Inhibition of mTORC1 leads to MAPK pathway activation thr... 2008 2026 2014 2020 2008 2011 2009 250 500 750 1000

Peers

Ainara Egia
Comparison fields: 5 of 109
  • Molecular Biology 4.0k
  • Cancer Research 1.3k
  • Oncology 1.0k
  • Epidemiology 824
  • Pharmacology 808
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Citations per field, relative to Ainara Egia
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Citations per year, relative to Ainara Egia
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Countries citing papers authored by Ainara Egia

Since Specialization
Citations

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

Fields of papers citing papers by Ainara Egia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ainara Egia

This figure shows the co-authorship network connecting the top 25 collaborators of Ainara Egia. A scholar is included among the top collaborators of Ainara Egia 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 Ainara Egia. Ainara Egia 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
1 127
2 114
3 211
4 301
5 22
6
SIRT3 Opposes Reprogramming of Cancer Cell Metabolism through HIF1α Destabilization breakdown →
659
7 18
8 316
9 441
10 38
11 64
12
Cannabinoid action induces autophagy-mediated cell death through stimulation of ER stress in human glioma cells breakdown →
573
13 151
14
Inhibition of mTORC1 leads to MAPK pathway activation through a PI3K-dependent feedback loop in human cancer breakdown →
1149
15 424
16 98
17 40
18 292
19 21
20 182

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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