Jui‐Chih Chang
Impact in
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
- Developmental Neuroscience top 10%
Papers in
-
- Mitochondrial Function and Pathology 25
- ATP Synthase and ATPases Research 6
- Muscle Physiology and Disorders 4
-
- Genetic Neurodegenerative Diseases 13
- Co-authors
- Chin‐San Liu (30 shared papers)Shan‐hui Hsu (5 shared papers)Shou‐Jen Kuo (7 shared papers)Ko‐Hung Liu (9 shared papers)Wen‐Ling Cheng (11 shared papers)Chieh‐Sen Chuang (7 shared papers)Ta‐Tsung Lin (9 shared papers)Yau‐Huei Wei (4 shared papers)
- Journals
- Scientific Reports (5 papers)Antioxidants (2 papers)Biomedicine & Pharmacotherapy (2 papers)Neurogastroenterology & Motility (2 papers)Biomaterials (2 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Jui‐Chih Chang
48 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 95
- Clinical Biochemistry 215
- Developmental Neuroscience 51
- Molecular Biology 902
- Neurology 81
- Genetics 90
Countries citing papers authored by Jui‐Chih Chang
This map shows the geographic impact of Jui‐Chih 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 Jui‐Chih Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jui‐Chih Chang more than expected).
Fields of papers citing papers by Jui‐Chih Chang
This network shows the impact of papers produced by Jui‐Chih 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 Jui‐Chih Chang. The network helps show where Jui‐Chih Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jui‐Chih 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
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 185 | |
| 2 | 2019 | 155 | |
| 3 | 2016 | 133 | |
| 4 | 2021 | 71 | |
| 5 | 2012 | 69 | |
| 6 | 2010 | 63 | |
| 7 | 2014 | 58 | |
| 8 | 2010 | 58 | |
| 9 | 2017 | 58 | |
| 10 | 2013 | 55 | |
| 11 | 2009 | 54 | |
| 12 | 2013 | 52 | |
| 13 | 2017 | 49 | |
| 14 | 2016 | 43 | |
| 15 | 2017 | 36 | |
| 16 | 2019 | 31 | |
| 17 | 2016 | 29 | |
| 18 | 2021 | 28 | |
| 19 | 2020 | 25 | |
| 20 | 2020 | 24 |
About Jui‐Chih Chang
Jui‐Chih Chang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Epidemiology and Genetics, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (25 papers), Genetic Neurodegenerative Diseases (13 papers), ATP Synthase and ATPases Research (6 papers), Autophagy in Disease and Therapy (5 papers), Muscle Physiology and Disorders (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Mesenchymal stem cell research (3 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). The work is most often cited by research in Clinical Biochemistry (215 citations), Developmental Neuroscience (51 citations), Molecular Biology (902 citations), Neurology (81 citations) and Genetics (90 citations). Jui‐Chih Chang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Chin‐San Liu, Shan‐hui Hsu, Shou‐Jen Kuo, Ko‐Hung Liu, Wen‐Ling Cheng, Chieh‐Sen Chuang, Ta‐Tsung Lin, Yau‐Huei Wei, Fu‐Chou Cheng and Hong‐Lin Su. Their work appears in journals such as Scientific Reports, Antioxidants, Biomedicine & Pharmacotherapy, Neurogastroenterology & Motility and Biomaterials.
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.