Jiwon Jang
Impact in
- Developmental Neuroscience top 10%
Papers in
-
- CRISPR and Genetic Engineering 6
- Epigenetics and DNA Methylation 5
- Pluripotent Stem Cells Research 5
- RNA Interference and Gene Delivery 3
- Single-cell and spatial transcriptomics 2
- Genetics 6
- Virus-based gene therapy research 5
- Co-authors
- Kenneth S. Kosik (7 shared papers)Matthew A. Lalli (4 shared papers)Yidi Wang (3 shared papers)Hyung-Seok Kim (1 shared paper)Elmer Guzman (2 shared papers)Hongjun Zhou (2 shared papers)Jae Youl Cho (9 shared papers)Sirie E. Godshalk (1 shared paper)
- Journals
- International Journal of Molecular Sciences (4 papers)Gene Therapy (2 papers)Nature Communications (2 papers)Stem Cells and Development (2 papers)Biomolecules (1 paper)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Jiwon Jang
36 papers receiving 691 citations
Peers
Comparison fields: 5 of 105
- Developmental Neuroscience 52
- Aging 13
- Molecular Biology 396
- Biological Psychiatry 10
- Cell Biology 50
Countries citing papers authored by Jiwon Jang
This map shows the geographic impact of Jiwon Jang'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 Jiwon Jang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiwon Jang more than expected).
Fields of papers citing papers by Jiwon Jang
This network shows the impact of papers produced by Jiwon Jang. 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 Jiwon Jang. The network helps show where Jiwon Jang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiwon Jang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 149 | |
| 2 | 2016 | 77 | |
| 3 | 2023 | 53 | |
| 4 | 2016 | 51 | |
| 5 | 2019 | 43 | |
| 6 | 2020 | 29 | |
| 7 | 2014 | 26 | |
| 8 | 2021 | 24 | |
| 9 | 2019 | 23 | |
| 10 | 2019 | 22 | |
| 11 | 2020 | 17 | |
| 12 | 2023 | 16 | |
| 13 | 2024 | 14 | |
| 14 | 2020 | 14 | |
| 15 | 2018 | 13 | |
| 16 | 2021 | 13 | |
| 17 | 2022 | 12 | |
| 18 | 2019 | 12 | |
| 19 | 2017 | 10 | |
| 20 | 2025 | 10 |
About Jiwon Jang
Jiwon Jang is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Cell Biology and Food Science, having authored 37 papers that have together received 701 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Epigenetics and DNA Methylation (5 papers), Virus-based gene therapy research (5 papers), Pluripotent Stem Cells Research (5 papers), RNA Interference and Gene Delivery (3 papers), Phytochemicals and Antioxidant Activities (3 papers), Advanced Sensor and Energy Harvesting Materials (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Developmental Neuroscience (52 citations), Aging (13 citations), Molecular Biology (396 citations), Biological Psychiatry (10 citations) and Cell Biology (50 citations). Jiwon Jang has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Kenneth S. Kosik, Matthew A. Lalli, Yidi Wang, Hyung-Seok Kim, Elmer Guzman, Hongjun Zhou, Jae Youl Cho, Sirie E. Godshalk, Keejung Yoon and Daniel Bridges. Their work appears in journals such as International Journal of Molecular Sciences, Gene Therapy, Nature Communications, Stem Cells and Development and Biomolecules.
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.