Yosif Ganat
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 1%
- Developmental Neuroscience top 0.2%
- Biomedical Engineering top 5%
- Physiology top 5%
- Co-authors
- Lorenz StuderViviane TabarSonja KriksJaewon ShimMark TomishimaJinghua PiaoFlora M. VaccarinoZhong Xie
- Topics
- Pluripotent Stem Cells Research (10 papers)Neurogenesis and neuroplasticity mechanisms (9 papers)Neonatal and fetal brain pathology (6 papers)
- Partner nations
- United StatesMexicoAustralia
In The Last Decade
Yosif Ganat
19 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 3.3k
- Cellular and Molecular Neuroscience 1.6k
- Developmental Neuroscience 1.0k
- Biomedical Engineering 565
- Physiology 493
Countries citing papers authored by Yosif Ganat
This map shows the geographic impact of Yosif Ganat'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 Yosif Ganat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yosif Ganat more than expected).
Fields of papers citing papers by Yosif Ganat
This network shows the impact of papers produced by Yosif Ganat. 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 Yosif Ganat. The network helps show where Yosif Ganat may publish in the future.
Co-authorship network of co-authors of Yosif Ganat
This figure shows the co-authorship network connecting the top 25 collaborators of Yosif Ganat. A scholar is included among the top collaborators of Yosif Ganat 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 Yosif Ganat. Yosif Ganat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 162 | |
| 3 | 233 | |
| 4 | 10 | |
| 5 | 79 | |
| 6 | Human iPSC-Based Modeling of Late-Onset Disease via Progerin-Induced Agingbreakdown → | 549 |
| 7 | Directed Differentiation and Functional Maturation of Cortical Interneurons from Human Embryonic Stem Cellsbreakdown → | 435 |
| 8 | 17 | |
| 9 | 112 | |
| 10 | 104 | |
| 11 | Dopamine neurons derived from human ES cells efficiently engraft in animal models of Parkinson’s diseasebreakdown → | 1376 |
| 12 | 27 | |
| 13 | 67 | |
| 14 | Modelling pathogenesis and treatment of familial dysautonomia using patient-specific iPSCsbreakdown → | 649 |
| 15 | 28 | |
| 16 | 49 | |
| 17 | 208 | |
| 18 | 135 | |
| 19 | 100 |
About Yosif Ganat
Yosif Ganat is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health, having authored 19 papers that have together received 4.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (10 papers), Neurogenesis and neuroplasticity mechanisms (9 papers) and Neonatal and fetal brain pathology (6 papers). The work is most often cited by research in Developmental Neuroscience (1.0k citations), Cellular and Molecular Neuroscience (1.6k citations) and Aging (99 citations). Yosif Ganat has collaborated with scholars based in United States, Mexico and Australia. Frequent co-authors include Lorenz Studer, Viviane Tabar, Sonja Kriks, Jaewon Shim, Mark Tomishima, Jinghua Piao, Flora M. Vaccarino, Zhong Xie, Christopher L. Antonacci and A. Buch. Their work appears in journals such as Nature, Journal of Clinical Investigation and Journal of Neuroscience.
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.