Mario Baumgart

2.1k citations
31 papers · 934 · h-index 18

Impact in

Papers in

    • Circular RNAs in diseases 5
    • Congenital heart defects research 5
    • Advanced biosensing and bioanalysis techniques 3
    • Epigenetics and DNA Methylation 3
    • MicroRNA in disease regulation 14
    • Cancer-related molecular mechanisms research 5

Mario Baumgart

30 papers receiving 928 citations

Peers

Mario Baumgart
Comparison fields: 5 of 89
  • Aging 95
  • Developmental Neuroscience 73
  • Cancer Research 262
  • Aquatic Science 100
  • Nature and Landscape Conservation 137
Replace Gervasio Martín‐Partido with:
Gervasio Martín‐Partido Spain
Li-En Jao United States
Jared C. Talbot United States
Peter Bayliss United States
Sarah Farrington United States
Lila Solnica‐Krezel United States
Ning‐Ai Liu United States
Mary Elizabeth Pownall United Kingdom
Massimiliano Andreazzoli Italy
Danielle Gomès France
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Citations per field
00.5×3.9×
Gervasio Martín‐Partido · 1×
Citations per year

Countries citing papers authored by Mario Baumgart

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mario Baumgart Line = papers co-authored together Mario Baumgart links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014109
2 2011101
3 201698
4 201776
5 201673
6 201751
7 201541
8 201339
9 201237
10 201534
11 200524
12 201623
13 200822
14 201821
15 201021
16 201419
17 201519
18 201917
19 201415
20 201915

About Mario Baumgart

Mario Baumgart is a scholar working on Molecular Biology, Cancer Research, Aquatic Science, Epidemiology and Physiology, having authored 31 papers that have together received 934 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (14 papers), Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (5 papers), Congenital heart defects research (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Epigenetics and DNA Methylation (3 papers) and Fish Biology and Ecology Studies (3 papers). The work is most often cited by research in Aging (95 citations), Developmental Neuroscience (73 citations), Cancer Research (262 citations), Aquatic Science (100 citations) and Nature and Landscape Conservation (137 citations). Mario Baumgart has collaborated with scholars based in Germany, Italy and Spain. Frequent co-authors include Alessandro Cellerino, Eva Terzibasi Tozzini, Marco Groth, Stefan Priebe, Reinhard Guthke, Matthias Platzer, Giorgia Battistoni, Roberto Ripa, Aurora Savino and Luca Pandolfini. Their work appears in journals such as Scientific Reports, Aging Cell, The Journal of Comparative Neurology, BioMed Research International and Biogerontology.

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.

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