Mario Baumgart
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Congenital heart defects research 5
- Circular RNAs in diseases 3
- Epigenetics and DNA Methylation 3
- Advanced biosensing and bioanalysis techniques 3
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- MicroRNA in disease regulation 14
- Cancer-related molecular mechanisms research 4
- Co-authors
- Alessandro Cellerino (19 shared papers)Eva Terzibasi Tozzini (7 shared papers)Marco Groth (15 shared papers)Reinhard Guthke (5 shared papers)Matthias Platzer (7 shared papers)Giorgia Battistoni (2 shared papers)Stefan Priebe (4 shared papers)Roberto Ripa (5 shared papers)
In The Last Decade
Mario Baumgart
31 papers receiving 976 citations
Peers
Comparison fields: 5 of 88
- Aging 90
- Developmental Neuroscience 72
- Cancer Research 245
- Nature and Landscape Conservation 149
- Aquatic Science 86
Countries citing papers authored by Mario Baumgart
This map shows the geographic impact of Mario Baumgart'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 Baumgart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Baumgart more than expected).
Fields of papers citing papers by Mario Baumgart
This network shows the impact of papers produced by Mario Baumgart. 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 Baumgart. The network helps show where Mario Baumgart may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Baumgart, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 113 | |
| 2 | 2011 | 107 | |
| 3 | 2016 | 104 | |
| 4 | 2017 | 76 | |
| 5 | 2016 | 75 | |
| 6 | 2017 | 56 | |
| 7 | 2015 | 42 | |
| 8 | 2013 | 41 | |
| 9 | 2012 | 40 | |
| 10 | 2015 | 35 | |
| 11 | 2005 | 24 | |
| 12 | 2016 | 23 | |
| 13 | 2008 | 22 | |
| 14 | 2018 | 21 | |
| 15 | 2014 | 21 | |
| 16 | 2010 | 21 | |
| 17 | 2019 | 20 | |
| 18 | 2015 | 19 | |
| 19 | 2019 | 18 | |
| 20 | 2014 | 18 |
About Mario Baumgart
Mario Baumgart is a scholar working on Molecular Biology, Cancer Research, Physiology, Developmental Neuroscience and Aquatic Science, having authored 31 papers that have together received 984 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (14 papers), Congenital heart defects research (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers), Epigenetics and DNA Methylation (3 papers), Telomeres, Telomerase, and Senescence (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Aging (90 citations), Developmental Neuroscience (72 citations), Cancer Research (245 citations), Nature and Landscape Conservation (149 citations) and Aquatic Science (86 citations). Mario Baumgart has collaborated with scholars based in Germany, Italy and Spain. Frequent co-authors include Alessandro Cellerino, Eva Terzibasi Tozzini, Marco Groth, Reinhard Guthke, Matthias Platzer, Giorgia Battistoni, Stefan Priebe, Roberto Ripa, Aurora Savino and Luca Pandolfini. Their work appears in journals such as Scientific Reports, BioMed Research International, The Journal of Comparative Neurology, Aging Cell and American Journal of Dermatopathology.
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.