Jinyoung Park
- Molecular Biology top 10%
- Biomedical Engineering top 10%
- Cellular and Molecular Neuroscience top 5%
- Developmental Neuroscience top 1%
- Cognitive Neuroscience top 10%
- Co-authors
- Sergiu P. PașcaSteven A. SloanYuan TianChul Hoon KimJohn R. HuguenardKhoa D. NguyenLaura ClarkeDaniel H. Geschwind
- Topics
- Advanced Graph Theory Research (5 papers)Limits and Structures in Graph Theory (5 papers)Video Surveillance and Tracking Methods (3 papers)
- Partner nations
- United StatesSouth KoreaNetherlands
In The Last Decade
Jinyoung Park
12 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Molecular Biology 993
- Biomedical Engineering 465
- Cellular and Molecular Neuroscience 401
- Developmental Neuroscience 327
- Cognitive Neuroscience 121
Countries citing papers authored by Jinyoung Park
This map shows the geographic impact of Jinyoung Park'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 Jinyoung Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinyoung Park more than expected).
Fields of papers citing papers by Jinyoung Park
This network shows the impact of papers produced by Jinyoung Park. 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 Jinyoung Park. The network helps show where Jinyoung Park may publish in the future.
Co-authorship network of co-authors of Jinyoung Park
This figure shows the co-authorship network connecting the top 25 collaborators of Jinyoung Park. A scholar is included among the top collaborators of Jinyoung Park 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 Jinyoung Park. Jinyoung Park 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | Generation of human striatal organoids and cortico-striatal assembloids from human pluripotent stem cellsbreakdown → | 276 |
| 14 | 0 | |
| 15 | Functional cortical neurons and astrocytes from human pluripotent stem cells in 3D culturebreakdown → | 1079 |
| 16 | 4 | |
| 17 | 7 |
About Jinyoung Park
Jinyoung Park is a scholar working on Discrete Mathematics and Combinatorics, Aging and General Decision Sciences, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Graph Theory Research (5 papers), Limits and Structures in Graph Theory (5 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Developmental Neuroscience (327 citations), Cellular and Molecular Neuroscience (401 citations) and Aging (27 citations). Jinyoung Park has collaborated with scholars based in United States, South Korea and Netherlands. Frequent co-authors include Sergiu P. Pașca, Steven A. Sloan, Yuan Tian, Chul Hoon Kim, John R. Huguenard, Khoa D. Nguyen, Laura Clarke, Daniel H. Geschwind, Anca M. Pașca and Stephen J Smith. Their work appears in journals such as Nature Biotechnology, Nature Methods and Annals of Mathematics.
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.