U. Antone
Impact in
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
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- Diet and metabolism studies
- Adipose Tissue and Metabolism
Papers in
-
- Metabolomics and Mass Spectrometry Studies 4
- Protein Hydrolysis and Bioactive Peptides 2
- Mitochondrial Function and Pathology 2
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- Metabolism and Genetic Disorders 4
- Co-authors
- Marina Makrecka‐Kuka (5 shared papers)Maija Dambrova (5 shared papers)Kristine Volska (5 shared papers)Edgars Liepinsh (5 shared papers)Janis Kuka (4 shared papers)Eduards Sevostjanovs (4 shared papers)Reinis Vilšķe̅rsts (3 shared papers)Elīna Makarova (3 shared papers)
In The Last Decade
U. Antone
10 papers receiving 429 citations
Peers
Comparison fields: 5 of 79
- Clinical Biochemistry 90
- Physiology 155
- Biological Psychiatry 14
- Molecular Biology 275
- Gastroenterology 18
Countries citing papers authored by U. Antone
This map shows the geographic impact of U. Antone'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 U. Antone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U. Antone more than expected).
Fields of papers citing papers by U. Antone
This network shows the impact of papers produced by U. Antone. 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 U. Antone. The network helps show where U. Antone may publish in the future.
Co-authors
The 19 scholars most cited alongside U. Antone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 120 | |
| 2 | 2017 | 111 | |
| 3 | 2016 | 87 | |
| 4 | 2014 | 47 | |
| 5 | 2017 | 26 | |
| 6 | 2022 | 21 | |
| 7 | Effects of dairy cow diet supplementation with carrots on milk composition, concentration of cow blood serum carotenes, and butter oil fat-soluble antioxidative substances. | 2015 | 9 |
| 8 | 2012 | 6 | |
| 9 | Evaluation of fatty acid composition of deer (Cervus elaphus) meat produced on Latvia farms and wildlife. | 2010 | 2 |
| 10 | 2022 | 2 |
About U. Antone
U. Antone is a scholar working on Molecular Biology, Clinical Biochemistry, Physiology, Food Science and Animal Science and Zoology, having authored 10 papers that have together received 431 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Adipose Tissue and Metabolism (3 papers), Protein Hydrolysis and Bioactive Peptides (2 papers), Meat and Animal Product Quality (2 papers), Mitochondrial Function and Pathology (2 papers), Probiotics and Fermented Foods (2 papers) and Biochemical effects in animals (1 paper). The work is most often cited by research in Clinical Biochemistry (90 citations), Physiology (155 citations), Biological Psychiatry (14 citations), Molecular Biology (275 citations) and Gastroenterology (18 citations). U. Antone has collaborated with scholars based in Latvia and Russia. Frequent co-authors include Marina Makrecka‐Kuka, Maija Dambrova, Kristine Volska, Edgars Liepinsh, Janis Kuka, Eduards Sevostjanovs, Reinis Vilšķe̅rsts, Elīna Makarova, Solveiga Grı̄nberga and Osvalds Pugovičs. Their work appears in journals such as Scientific Reports, Fermentation, Biochemical Journal, Toxicology Letters and BioFactors.
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.