Jae-Yoon Jung
- Cognitive Neuroscience top 5%
- Genetics top 10%
- Molecular Biology
- Education top 10%
- Epidemiology
- Co-authors
- Dennis P. WallNate StockhamTodd F. DeLucaKelley PaskovRebecca L. DallyRhiannon LuysterJennifer K. LoweDaniel H. Geschwind
- Topics
- Autism Spectrum Disorder Research (11 papers)Genetics and Neurodevelopmental Disorders (6 papers)Genomics and Phylogenetic Studies (4 papers)
- Journals
- CellProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Jae-Yoon Jung
29 papers receiving 658 citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Cognitive Neuroscience 342
- Genetics 257
- Molecular Biology 243
- Education 89
- Epidemiology 63
Countries citing papers authored by Jae-Yoon Jung
This map shows the geographic impact of Jae-Yoon Jung'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 Jae-Yoon Jung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae-Yoon Jung more than expected).
Fields of papers citing papers by Jae-Yoon Jung
This network shows the impact of papers produced by Jae-Yoon Jung. 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 Jae-Yoon Jung. The network helps show where Jae-Yoon Jung may publish in the future.
Co-authorship network of co-authors of Jae-Yoon Jung
This figure shows the co-authorship network connecting the top 25 collaborators of Jae-Yoon Jung. A scholar is included among the top collaborators of Jae-Yoon Jung 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 Jae-Yoon Jung. Jae-Yoon Jung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 44 | |
| 4 | 3 | |
| 5 | 17 | |
| 6 | 30 | |
| 7 | A Method for Localizing Non-Reference Sequences to the Human Genome. | 2 |
| 8 | 32 | |
| 9 | 24 | |
| 10 | 8 | |
| 11 | 11 | |
| 12 | 6 | |
| 13 | WIND POWER GENERATION PREDICTION BASED ON WEATHER FORECAST DATA USING DEEP NEURAL NETWORKS | 1 |
| 14 | 11 | |
| 15 | 17 | |
| 16 | Inherited and De Novo Genetic Risk for Autism Impacts Shared Networksbreakdown → | 257 |
| 17 | 3 | |
| 18 | 143 | |
| 19 | Software Size Measurement from Information Strategy Planning With the Function Point Method | 0 |
| 20 | 1 |
About Jae-Yoon Jung
Jae-Yoon Jung is a scholar working on Cognitive Neuroscience, Genetics and Modeling and Simulation, having authored 30 papers that have together received 680 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (11 papers), Genetics and Neurodevelopmental Disorders (6 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Cognitive Neuroscience (342 citations), Genetics (257 citations) and Health Informatics (8 citations). Jae-Yoon Jung has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Dennis P. Wall, Nate Stockham, Todd F. DeLuca, Kelley Paskov, Rebecca L. Dally, Rhiannon Luyster, Jennifer K. Lowe, Daniel H. Geschwind, Elizabeth K. Ruzzo and Laura Pérez‐Cano. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.
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.