Mario Mitt
Impact in
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- Genetic Associations and Epidemiology
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- High Altitude and Hypoxia
- Genomics and Rare Diseases
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- Microbial bioremediation and biosurfactants
Papers in
- Genetics 3
- High Altitude and Hypoxia 2
- Genetic Associations and Epidemiology 1
- Genetic Mapping and Diversity in Plants and Animals 1
- Genetic and phenotypic traits in livestock 1
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- Neuroscience of respiration and sleep 2
- Co-authors
- Reedik Mägi (4 shared papers)Kalle Pärn (2 shared papers)Eric S. Lander (2 shared papers)Andrew P. Morris (2 shared papers)Aarno Palotie (2 shared papers)Stacey Gabriel (2 shared papers)Mart Kals (2 shared papers)Tōnu Esko (2 shared papers)
- Journals
- Scientific Reports (1 paper)Microbiological Research (1 paper)European Journal of Human Genetics (1 paper)Translational Psychiatry (1 paper)Nature (1 paper)
- Partner nations
- EstoniaUnited KingdomUnited States
In The Last Decade
Mario Mitt
8 papers receiving 254 citations
Peers
Comparison fields: 5 of 86
- Genetics 123
- Pollution 29
- Endocrine and Autonomic Systems 12
- Cancer Research 20
- Molecular Biology 89
Countries citing papers authored by Mario Mitt
This map shows the geographic impact of Mario Mitt'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 Mario Mitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Mitt more than expected).
Fields of papers citing papers by Mario Mitt
This network shows the impact of papers produced by Mario Mitt. 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 Mario Mitt. The network helps show where Mario Mitt may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Mitt, 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 | 104 | |
| 2 | 2013 | 43 | |
| 3 | 2017 | 33 | |
| 4 | 2016 | 31 | |
| 5 | 2016 | 26 | |
| 6 | Improved imputation accuracy of rare and low-frequency variants using population-specific high-coverage WGS-based imputation reference panel | 2017 | 20 |
| 7 | 2018 | 2 | |
| 8 | 2019 | 1 |
About Mario Mitt
Mario Mitt is a scholar working on Genetics, Endocrine and Autonomic Systems, Pulmonary and Respiratory Medicine, Molecular Biology and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 260 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), High Altitude and Hypoxia (2 papers), Genetic Associations and Epidemiology (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Genetic and phenotypic traits in livestock (1 paper), Microbial bioremediation and biosurfactants (1 paper) and Anaerobic Digestion and Biogas Production (1 paper). The work is most often cited by research in Genetics (123 citations), Pollution (29 citations), Endocrine and Autonomic Systems (12 citations), Cancer Research (20 citations) and Molecular Biology (89 citations). Mario Mitt has collaborated with scholars based in Estonia, United Kingdom and United States. Frequent co-authors include Reedik Mägi, Kalle Pärn, Eric S. Lander, Andrew P. Morris, Aarno Palotie, Stacey Gabriel, Mart Kals, Tōnu Esko, Priit Palta and Samuli Ripatti. Their work appears in journals such as Scientific Reports, Microbiological Research, European Journal of Human Genetics, Translational Psychiatry and Nature.
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.