Michalis Barkoulas
- Molecular Biology top 5%
- Plant Science top 1%
- Aging top 0.5%
- Genetics top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Miltos TsiantisAngela HayMarie‐Anne FélixCarla GalinhaEnrico ScarpellaPrzemysław PrusinkiewiczPatrick LaufsAdam Runions
- Topics
- Genetics, Aging, and Longevity in Model Organisms (23 papers)Plant Molecular Biology Research (10 papers)CRISPR and Genetic Engineering (9 papers)
- Cited by
- AgingPlant ScienceMolecular Biology
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Michalis Barkoulas
37 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 1.6k
- Plant Science 1.5k
- Aging 341
- Genetics 188
- Ecology, Evolution, Behavior and Systematics 130
Countries citing papers authored by Michalis Barkoulas
This map shows the geographic impact of Michalis Barkoulas'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 Michalis Barkoulas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michalis Barkoulas more than expected).
Fields of papers citing papers by Michalis Barkoulas
This network shows the impact of papers produced by Michalis Barkoulas. 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 Michalis Barkoulas. The network helps show where Michalis Barkoulas may publish in the future.
Co-authorship network of co-authors of Michalis Barkoulas
This figure shows the co-authorship network connecting the top 25 collaborators of Michalis Barkoulas. A scholar is included among the top collaborators of Michalis Barkoulas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michalis Barkoulas. Michalis Barkoulas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 15 | |
| 5 | 7 | |
| 6 | 16 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | 67 | |
| 10 | 21 | |
| 11 | 14 | |
| 12 | 12 | |
| 13 | 92 | |
| 14 | 10 | |
| 15 | 38 | |
| 16 | 189 | |
| 17 | 369 | |
| 18 | 114 | |
| 19 | 270 | |
| 20 | PINning down the connections: transcription factors and hormones in leaf morphogenesis (DOI:10.1016/j.pbi.2004.07.007) | 3 |
About Michalis Barkoulas
Michalis Barkoulas is a scholar working on Aging, Endocrine and Autonomic Systems and Molecular Biology, having authored 39 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (23 papers), Plant Molecular Biology Research (10 papers) and CRISPR and Genetic Engineering (9 papers). The work is most often cited by research in Aging (341 citations), Plant Science (1.5k citations) and Molecular Biology (1.6k citations). Michalis Barkoulas has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Miltos Tsiantis, Angela Hay, Marie‐Anne Félix, Carla Galinha, Enrico Scarpella, Przemysław Prusinkiewicz, Patrick Laufs, Adam Runions, Alice Hasson and Stephen P. Grigg. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.
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.