Oliver Aasmets
Impact in
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- Gut microbiota and health
- Metabolomics and Mass Spectrometry Studies
- Genomics and Phylogenetic Studies
Papers in
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- Gut microbiota and health 13
- Metabolomics and Mass Spectrometry Studies 4
- Genomics and Phylogenetic Studies 2
- Epigenetics and DNA Methylation 2
- Machine Learning in Bioinformatics 1
- Co-authors
- Elin Org (11 shared papers)Kreete Lüll (5 shared papers)Andres Metspalu (3 shared papers)Andres Salumets (4 shared papers)Juha S. Tapanainen (2 shared papers)Julio Plaza‐Díaz (2 shared papers)Signe Altmäe (2 shared papers)Terhi Piltonen (3 shared papers)
In The Last Decade
Oliver Aasmets
19 papers receiving 596 citations
Oliver Aasmets's Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 363
- Biological Psychiatry 12
- Reproductive Medicine 40
- Health Information Management 13
- Gastroenterology 13
Countries citing papers authored by Oliver Aasmets
This map shows the geographic impact of Oliver Aasmets'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 Oliver Aasmets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver Aasmets more than expected).
Fields of papers citing papers by Oliver Aasmets
This network shows the impact of papers produced by Oliver Aasmets. 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 Oliver Aasmets. The network helps show where Oliver Aasmets may publish in the future.
Co-authors
The 25 scholars most cited alongside Oliver Aasmets, 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 | Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment Hit paper breakdown → | 2021 | 283 |
| 2 | 2024 | 60 | |
| 3 | 2020 | 56 | |
| 4 | 2022 | 38 | |
| 5 | 2025 | 23 | |
| 6 | 2023 | 21 | |
| 7 | 2021 | 21 | |
| 8 | 2024 | 18 | |
| 9 | 2024 | 17 | |
| 10 | 2021 | 16 | |
| 11 | 2025 | 14 | |
| 12 | 2024 | 11 | |
| 13 | 2025 | 9 | |
| 14 | 2022 | 7 | |
| 15 | 2022 | 5 | |
| 16 | 2025 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2026 | 2 |
About Oliver Aasmets
Oliver Aasmets is a scholar working on Molecular Biology, Reproductive Medicine, Infectious Diseases, Gastroenterology and Endocrinology, having authored 19 papers that have together received 611 indexed citations. Recurring topics across this work include Gut microbiota and health (13 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Genomics and Phylogenetic Studies (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Epigenetics and DNA Methylation (2 papers), Diet and metabolism studies (2 papers), Pregnancy and preeclampsia studies (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Molecular Biology (363 citations), Biological Psychiatry (12 citations), Reproductive Medicine (40 citations), Health Information Management (13 citations) and Gastroenterology (13 citations). Oliver Aasmets has collaborated with scholars based in Estonia, Spain and Sweden. Frequent co-authors include Elin Org, Kreete Lüll, Andres Metspalu, Andres Salumets, Juha S. Tapanainen, Julio Plaza‐Díaz, Signe Altmäe, Terhi Piltonen, Tõnis Org and Stephen Franks. Their work appears in journals such as Scientific Reports, Frontiers in Microbiology, Human Reproduction, mSystems and Gut Microbes.
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.