Bram Prevo
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 2%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
Papers in
-
- Photosynthetic Processes and Mechanisms 6
- Protist diversity and phylogeny 5
- DNA Repair Mechanisms 2
- Cell Biology 16
- Microtubule and mitosis dynamics 15
- Co-authors
- Erwin J.G. Peterman (10 shared papers)Jonathan M. Scholey (3 shared papers)Pierre Mangeol (3 shared papers)Felix Oswald (3 shared papers)Dhanya K. Cheerambathur (10 shared papers)Arshad Desai (6 shared papers)Karen Oegema (6 shared papers)Şeyda Açar (2 shared papers)
- Journals
- Molecular Biology of the Cell (3 papers)Developmental Cell (2 papers)Nature Cell Biology (2 papers)Journal of Visualized Experiments (2 papers)Genes & Development (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Bram Prevo
24 papers receiving 974 citations
Peers
Comparison fields: 5 of 77
- Aging 110
- Cell Biology 482
- Genetics 450
- Molecular Biology 692
- Biophysics 36
Countries citing papers authored by Bram Prevo
This map shows the geographic impact of Bram Prevo'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 Bram Prevo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bram Prevo more than expected).
Fields of papers citing papers by Bram Prevo
This network shows the impact of papers produced by Bram Prevo. 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 Bram Prevo. The network helps show where Bram Prevo may publish in the future.
Co-authors
The 25 scholars most cited alongside Bram Prevo, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 152 | |
| 2 | 2011 | 144 | |
| 3 | 2016 | 132 | |
| 4 | 2015 | 125 | |
| 5 | 2017 | 83 | |
| 6 | 2013 | 63 | |
| 7 | 2017 | 47 | |
| 8 | 2017 | 47 | |
| 9 | 2017 | 36 | |
| 10 | 2017 | 34 | |
| 11 | 2019 | 33 | |
| 12 | 2018 | 20 | |
| 13 | 2013 | 10 | |
| 14 | 2011 | 10 | |
| 15 | 2017 | 8 | |
| 16 | 2018 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2024 | 3 |
About Bram Prevo
Bram Prevo is a scholar working on Molecular Biology, Cell Biology, Biophysics, Genetics and Aging, having authored 25 papers that have together received 975 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (15 papers), Genetic and Kidney Cyst Diseases (6 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Photosynthetic Processes and Mechanisms (6 papers), Advanced Fluorescence Microscopy Techniques (6 papers), Protist diversity and phylogeny (5 papers), DNA Repair Mechanisms (2 papers) and Biocrusts and Microbial Ecology (2 papers). The work is most often cited by research in Aging (110 citations), Cell Biology (482 citations), Genetics (450 citations), Molecular Biology (692 citations) and Biophysics (36 citations). Bram Prevo has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Erwin J.G. Peterman, Jonathan M. Scholey, Pierre Mangeol, Felix Oswald, Dhanya K. Cheerambathur, Arshad Desai, Karen Oegema, Şeyda Açar, Pablo Lara-González and Gul Civelekoglu‐Scholey. Their work appears in journals such as Molecular Biology of the Cell, Developmental Cell, Nature Cell Biology, Journal of Visualized Experiments and Genes & Development.
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.