Mario Plaas
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Receptor Mechanisms and Signaling 7
- RNA regulation and disease 6
- Cell Biology 18
- Endoplasmic Reticulum Stress and Disease 18
- Co-authors
- Eero Vasar (33 shared papers)Sulev Kõks (14 shared papers)Hendrik Luuk (12 shared papers)Sirli Raud (12 shared papers)Jürgen Innos (11 shared papers)Anton Terasmaa (9 shared papers)Toomas Jagomäe (13 shared papers)Silva Sütt (7 shared papers)
- Journals
- Behavioural Brain Research (6 papers)Scientific Reports (6 papers)Physiological Genomics (2 papers)Frontiers in Neuroscience (2 papers)Genes (2 papers)
- Partner nations
- EstoniaGermanyUnited States
In The Last Decade
Mario Plaas
42 papers receiving 881 citations
Peers
Comparison fields: 5 of 89
- Cell Biology 319
- Aging 18
- Dermatology 73
- Biological Psychiatry 19
- Physiology 38
Countries citing papers authored by Mario Plaas
This map shows the geographic impact of Mario Plaas'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 Plaas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Plaas more than expected).
Fields of papers citing papers by Mario Plaas
This network shows the impact of papers produced by Mario Plaas. 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 Plaas. The network helps show where Mario Plaas may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Plaas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 163 | |
| 2 | 2008 | 79 | |
| 3 | 2008 | 60 | |
| 4 | 2017 | 49 | |
| 5 | 2009 | 47 | |
| 6 | 2019 | 38 | |
| 7 | 2009 | 36 | |
| 8 | 2018 | 33 | |
| 9 | 2010 | 33 | |
| 10 | 2016 | 28 | |
| 11 | Alpha-synuclein A30P point-mutation generates age-dependent nigrostriatal deficiency in mice. | 2008 | 26 |
| 12 | 2016 | 25 | |
| 13 | 2003 | 24 | |
| 14 | 2021 | 23 | |
| 15 | 2005 | 23 | |
| 16 | 2016 | 21 | |
| 17 | 2012 | 20 | |
| 18 | 2013 | 16 | |
| 19 | 2019 | 16 | |
| 20 | 2021 | 12 |
About Mario Plaas
Mario Plaas is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Genetics and Physiology, having authored 45 papers that have together received 887 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (18 papers), Genetics and Neurodevelopmental Disorders (9 papers), Receptor Mechanisms and Signaling (7 papers), RNA regulation and disease (6 papers), Adenosine and Purinergic Signaling (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Cell Biology (319 citations), Aging (18 citations), Dermatology (73 citations), Biological Psychiatry (19 citations) and Physiology (38 citations). Mario Plaas has collaborated with scholars based in Estonia, Germany and United States. Frequent co-authors include Eero Vasar, Sulev Kõks, Hendrik Luuk, Sirli Raud, Jürgen Innos, Anton Terasmaa, Toomas Jagomäe, Silva Sütt, Jens Hannibal and Jens F. Rehfeld. Their work appears in journals such as Behavioural Brain Research, Scientific Reports, Physiological Genomics, Frontiers in Neuroscience and Genes.
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.