Daina Avizonis

4.4k citations
48 papers · 2.9k indexed · 2 hit papers · h-index 23

Daina Avizonis

45 papers receiving 2.9k citations

Hit Papers

mTORC1 Controls Mitochondrial Activity and Biogenesis thr...6142012202620162021200400600

Peers

Daina Avizonis
Comparison fields: 5 of 114
  • Cancer Research 961
  • Molecular Biology 2.2k
  • Geriatrics and Gerontology 96
  • Aging 36
  • Biochemistry 125
Replace Zachary T. Schug with:
Zachary T. Schug United States
Simon‐Pierre Gravel Canada
Yong Cai China
Karim Bensaad United Kingdom
Zhiyin Song China
Stéphane J. H. Ricoult United States
Franca Esposito Italy
Raúl V. Durán Spain
Xin Wen China
Stefan Christen Switzerland
Daina Avizonis relative to Zachary T. Schug United States Zachary T. Schug's profile →
Citations per field
00.5×3.2×
Zachary T. Schug · 1×
Citations per year

Countries citing papers authored by Daina Avizonis

Since Specialization
Citations

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

Fields of papers citing papers by Daina Avizonis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Daina Avizonis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daina Avizonis Line = papers co-authored together Daina Avizonis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2 20245
3 20242
4 20243
5 202225
6 202114
7 202162
8 202134
9 20209
10 202026
11 201613
12 20169
13 2015204
14 201437
15 201440
16 201339
17 201245
18
AMPK Is a Negative Regulator of the Warburg Effect and Suppresses Tumor Growth In Vivobreakdown →
2012732
19 20021
20 1998173

About Daina Avizonis

Daina Avizonis is a scholar working on Cancer Research, Geriatrics and Gerontology and Molecular Biology, having authored 48 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (16 papers), Metabolism, Diabetes, and Cancer (13 papers), Mitochondrial Function and Pathology (8 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Adipose Tissue and Metabolism (4 papers), Autophagy in Disease and Therapy (4 papers), DNA and Nucleic Acid Chemistry (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Cancer Research (961 citations), Molecular Biology (2.2k citations) and Geriatrics and Gerontology (96 citations). Daina Avizonis has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Russell G. Jones, Takla Griss, Brandon Faubert, Bożena Samborska, Orval Mamer, Julie St‐Pierre, Said Izreig, Simon‐Pierre Gravel, Peter M. Siegel and Zhifeng Dong. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

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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