Yu‐Jung Chang
- Developmental Neuroscience top 5%
- Aging top 5%
- Water Science and Technology top 5%
- Membrane Separation Technologies 5
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- Neuroscience and Neural Engineering 5
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- Water Treatment and Disinfection 7
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- Pluripotent Stem Cells Research 8
- CRISPR and Genetic Engineering 4
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- EFL/ESL Teaching and Learning 6
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- Second Language Learning and Teaching 6
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- Tissue Engineering and Regenerative Medicine 4
- Co-authors
- Mark M. BenjaminLinyi ChenJunyeop KimJongpil KimHwan Geun ChoiHongwon KimHanseul ParkChristopher J. Lengner
- Journals
- Journal of Biological Chemistry (1 paper)Environmental Science & Technology (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- TaiwanSouth KoreaUnited States
In The Last Decade
Yu‐Jung Chang
65 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Developmental Neuroscience 143
- Aging 42
- Water Science and Technology 307
- Cellular and Molecular Neuroscience 305
- Health, Toxicology and Mutagenesis 203
Countries citing papers authored by Yu‐Jung Chang
This map shows the geographic impact of Yu‐Jung Chang'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 Yu‐Jung Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Jung Chang more than expected).
Fields of papers citing papers by Yu‐Jung Chang
This network shows the impact of papers produced by Yu‐Jung Chang. 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 Yu‐Jung Chang. The network helps show where Yu‐Jung Chang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yu‐Jung Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 11 | |
| 2 | 2023 | 3 | |
| 3 | 2021 | 13 | |
| 4 | 2021 | 31 | |
| 5 | 2020 | 46 | |
| 6 | 2019 | 35 | |
| 7 | 2019 | 204 | |
| 8 | 2018 | 9 | |
| 9 | 2017 | 26 | |
| 10 | 2017 | 118 | |
| 11 | 2016 | 4 | |
| 12 | 2014 | 27 | |
| 13 | 2013 | 79 | |
| 14 | 2012 | 21 | |
| 15 | 2011 | 17 | |
| 16 | 2009 | 36 | |
| 17 | 2009 | 39 | |
| 18 | 2008 | 16 | |
| 19 | 2007 | 4 | |
| 20 | 2003 | 18 |
About Yu‐Jung Chang
Yu‐Jung Chang is a scholar working on Health, Toxicology and Mutagenesis, Developmental Neuroscience and Water Science and Technology, having authored 66 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), Water Treatment and Disinfection (7 papers), EFL/ESL Teaching and Learning (6 papers), Second Language Learning and Teaching (6 papers), Neuroscience and Neural Engineering (5 papers), Membrane Separation Technologies (5 papers), Tissue Engineering and Regenerative Medicine (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Developmental Neuroscience (143 citations), Aging (42 citations) and Water Science and Technology (307 citations). Yu‐Jung Chang has collaborated with scholars based in Taiwan, South Korea and United States. Frequent co-authors include Mark M. Benjamin, Linyi Chen, Junyeop Kim, Jongpil Kim, Hwan Geun Choi, Hongwon Kim, Hanseul Park, Christopher J. Lengner, Chun Li and Miaomiao Zhang. Their work appears in journals such as Journal of Biological Chemistry, Environmental Science & Technology and Nature Neuroscience.
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.