Juan I. Young
- Molecular Biology top 5%
- Genetics top 1%
- Cognitive Neuroscience top 2%
- Physiology top 10%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Gaofeng WangHuda Y. ZoghbiStephan ZüchnerBrenda L. CourtCorinne M. SpencerLisa A. Yuva‐PaylorDawna ArmstrongRichard Paylor
- Topics
- Epigenetics and DNA Methylation (28 papers)Genetics and Neurodevelopmental Disorders (19 papers)Genomic variations and chromosomal abnormalities (10 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesChileArgentina
In The Last Decade
Juan I. Young
74 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 2.3k
- Genetics 1.7k
- Cognitive Neuroscience 803
- Physiology 360
- Cellular and Molecular Neuroscience 347
Countries citing papers authored by Juan I. Young
This map shows the geographic impact of Juan I. Young'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 Juan I. Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan I. Young more than expected).
Fields of papers citing papers by Juan I. Young
This network shows the impact of papers produced by Juan I. Young. 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 Juan I. Young. The network helps show where Juan I. Young may publish in the future.
Co-authorship network of co-authors of Juan I. Young
This figure shows the co-authorship network connecting the top 25 collaborators of Juan I. Young. A scholar is included among the top collaborators of Juan I. Young 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 Juan I. Young. Juan I. Young 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 | 3 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 23 | |
| 10 | 13 | |
| 11 | 22 | |
| 12 | 43 | |
| 13 | 9 | |
| 14 | 64 | |
| 15 | 305 | |
| 16 | 28 | |
| 17 | 106 | |
| 18 | 368 | |
| 19 | 122 | |
| 20 | 23 |
About Juan I. Young
Juan I. Young is a scholar working on Geriatrics and Gerontology, Genetics and Biological Psychiatry, having authored 76 papers that have together received 3.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (28 papers), Genetics and Neurodevelopmental Disorders (19 papers) and Genomic variations and chromosomal abnormalities (10 papers). The work is most often cited by research in Genetics (1.7k citations), Cognitive Neuroscience (803 citations) and Developmental Neuroscience (146 citations). Juan I. Young has collaborated with scholars based in United States, Chile and Argentina. Frequent co-authors include Gaofeng Wang, Huda Y. Zoghbi, Stephan Züchner, Brenda L. Court, Corinne M. Spencer, Lisa A. Yuva‐Paylor, Dawna Armstrong, Richard Paylor, Jeffrey L. Noebels and Barbara Antalffy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.