Vasso Makrantoni
Impact in
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- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- Fungal and yeast genetics research
- RNA modifications and cancer
- DNA and Nucleic Acid Chemistry
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
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- Genomics and Chromatin Dynamics 7
- Fungal and yeast genetics research 7
- DNA Repair Mechanisms 3
- Mitochondrial Function and Pathology 2
-
- Microtubule and mitosis dynamics 6
- Co-authors
- Michael J. R. Stark (7 shared papers)Adèle L. Marston (9 shared papers)W. John Ingledew (1 shared paper)Jana Rudolf (1 shared paper)Malcolm F. White (1 shared paper)Stephen M. Hinshaw (2 shared papers)Stephen C. Harrison (2 shared papers)Peter J. Coote (2 shared papers)
- Journals
- Current Biology (2 papers)Genetics (2 papers)Yeast (1 paper)G3 Genes Genomes Genetics (1 paper)PLoS Biology (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Vasso Makrantoni
16 papers receiving 634 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 567
- Cell Biology 129
- Renewable Energy, Sustainability and the Environment 84
- Plant Science 135
- Genetics 66
Countries citing papers authored by Vasso Makrantoni
This map shows the geographic impact of Vasso Makrantoni'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 Vasso Makrantoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vasso Makrantoni more than expected).
Fields of papers citing papers by Vasso Makrantoni
This network shows the impact of papers produced by Vasso Makrantoni. 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 Vasso Makrantoni. The network helps show where Vasso Makrantoni may publish in the future.
Co-authors
The 25 scholars most cited alongside Vasso Makrantoni, 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 | 2006 | 268 | |
| 2 | 2017 | 78 | |
| 3 | 2015 | 59 | |
| 4 | 2018 | 37 | |
| 5 | 2007 | 31 | |
| 6 | 2005 | 25 | |
| 7 | 2007 | 23 | |
| 8 | 2011 | 23 | |
| 9 | 2017 | 20 | |
| 10 | 2020 | 17 | |
| 11 | 2009 | 15 | |
| 12 | 2020 | 13 | |
| 13 | 2014 | 11 | |
| 14 | 2020 | 7 | |
| 15 | 2019 | 5 | |
| 16 | 2017 | 4 |
About Vasso Makrantoni
Vasso Makrantoni is a scholar working on Molecular Biology, Cell Biology, Plant Science, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 636 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), Fungal and yeast genetics research (7 papers), Microtubule and mitosis dynamics (6 papers), DNA Repair Mechanisms (3 papers), Chromosomal and Genetic Variations (3 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Plant nutrient uptake and metabolism (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Molecular Biology (567 citations), Cell Biology (129 citations), Renewable Energy, Sustainability and the Environment (84 citations), Plant Science (135 citations) and Genetics (66 citations). Vasso Makrantoni has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Michael J. R. Stark, Adèle L. Marston, W. John Ingledew, Jana Rudolf, Malcolm F. White, Stephen M. Hinshaw, Stephen C. Harrison, Peter J. Coote, Alastair Kerr and Robin Antrobus. Their work appears in journals such as Current Biology, Genetics, Yeast, G3 Genes Genomes Genetics and PLoS Biology.
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.