Youngnam N. Jin
- Molecular Biology top 10%
- Physiology top 10%
- Cellular and Molecular Neuroscience top 5%
- Epidemiology
- Cell Biology top 10%
- Co-authors
- Gail V.W. JohnsonRodrigo A. QuintanillaChulman JoSoner GundemirIrfan RahmanPhilip J. DolanYeon Gyu YuJaehoon Yu
- Topics
- Mitochondrial Function and Pathology (11 papers)Genetic Neurodegenerative Diseases (6 papers)Ubiquitin and proteasome pathways (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Youngnam N. Jin
27 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 864
- Physiology 325
- Cellular and Molecular Neuroscience 317
- Epidemiology 196
- Cell Biology 184
Countries citing papers authored by Youngnam N. Jin
This map shows the geographic impact of Youngnam N. Jin'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 Youngnam N. Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngnam N. Jin more than expected).
Fields of papers citing papers by Youngnam N. Jin
This network shows the impact of papers produced by Youngnam N. Jin. 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 Youngnam N. Jin. The network helps show where Youngnam N. Jin may publish in the future.
Co-authorship network of co-authors of Youngnam N. Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Youngnam N. Jin. A scholar is included among the top collaborators of Youngnam N. Jin 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 Youngnam N. Jin. Youngnam N. Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 38 | |
| 6 | 49 | |
| 7 | 267 | |
| 8 | 87 | |
| 9 | 87 | |
| 10 | 31 | |
| 11 | 117 | |
| 12 | 63 | |
| 13 | 2 | |
| 14 | 111 | |
| 15 | Transgenic rescue of ataxia mice with neuronal-specific expression of ubiquitin-specific protease 14 | 1 |
| 16 | 72 | |
| 17 | 10 | |
| 18 | 4 | |
| 19 | 8 | |
| 20 | 68 |
About Youngnam N. Jin
Youngnam N. Jin is a scholar working on Aging, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (11 papers), Genetic Neurodegenerative Diseases (6 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Biological Psychiatry (45 citations), Cellular and Molecular Neuroscience (317 citations) and Molecular Biology (864 citations). Youngnam N. Jin has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Gail V.W. Johnson, Rodrigo A. Quintanilla, Chulman Jo, Soner Gundemir, Irfan Rahman, Philip J. Dolan, Yeon Gyu Yu, Jaehoon Yu, Rommy von Bernhardi and Karen Fuenzalida. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.