Marco Groth
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- Mitochondrial Function and Pathology
- Protist diversity and phylogeny
- RNA Research and Splicing
- RNA modifications and cancer
Papers in
-
- Epigenetics and DNA Methylation 9
- CRISPR and Genetic Engineering 8
- RNA Research and Splicing 7
- Genetics 15
- Co-authors
- Matthias Platzer (55 shared papers)Reinhard Guthke (14 shared papers)Michael Ristow (7 shared papers)Stefan Priebe (12 shared papers)Kim Zarse (5 shared papers)Sebastian Schmeisser (3 shared papers)Doreen Kuhlow (3 shared papers)Alessandro Cellerino (15 shared papers)
- Journals
- BMC Genomics (9 papers)PLoS ONE (7 papers)Nature Communications (5 papers)Scientific Reports (5 papers)Cells (4 papers)
- Partner nations
- GermanyItalyUnited States
In The Last Decade
Marco Groth
137 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 133
- Aging 612
- Molecular Biology 2.1k
- Endocrine and Autonomic Systems 169
- Cancer Research 325
- Biological Psychiatry 45
Countries citing papers authored by Marco Groth
This map shows the geographic impact of Marco Groth'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 Marco Groth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Groth more than expected).
Fields of papers citing papers by Marco Groth
This network shows the impact of papers produced by Marco Groth. 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 Marco Groth. The network helps show where Marco Groth may publish in the future.
Co-authors
The 25 scholars most cited alongside Marco Groth, 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 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 354 | |
| 2 | 2014 | 188 | |
| 3 | 2009 | 128 | |
| 4 | 2013 | 123 | |
| 5 | 2013 | 117 | |
| 6 | 2014 | 113 | |
| 7 | 2016 | 104 | |
| 8 | 2015 | 98 | |
| 9 | 2009 | 83 | |
| 10 | 2010 | 80 | |
| 11 | 2017 | 76 | |
| 12 | 2016 | 75 | |
| 13 | 2016 | 67 | |
| 14 | 2019 | 66 | |
| 15 | 2019 | 61 | |
| 16 | 2018 | 61 | |
| 17 | 2013 | 60 | |
| 18 | 2011 | 59 | |
| 19 | 2015 | 58 | |
| 20 | 2012 | 54 |
About Marco Groth
Marco Groth is a scholar working on Molecular Biology, Genetics, Plant Science, Ecology and Epidemiology, having authored 141 papers that have together received 4.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (12 papers), MicroRNA in disease regulation (10 papers), Epigenetics and DNA Methylation (9 papers), Plant Virus Research Studies (8 papers), CRISPR and Genetic Engineering (8 papers), RNA Research and Splicing (7 papers), Animal Virus Infections Studies (7 papers) and Influenza Virus Research Studies (7 papers). The work is most often cited by research in Aging (612 citations), Molecular Biology (2.1k citations), Endocrine and Autonomic Systems (169 citations), Cancer Research (325 citations) and Biological Psychiatry (45 citations). Marco Groth has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Matthias Platzer, Reinhard Guthke, Michael Ristow, Stefan Priebe, Kim Zarse, Sebastian Schmeisser, Doreen Kuhlow, Alessandro Cellerino, Mario Baumgart and Roland Zell. Their work appears in journals such as BMC Genomics, PLoS ONE, Nature Communications, Scientific Reports and Cells.
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.