Yuting Chen
Impact in
- Endocrinology top 10%
- Aquatic Science top 10%
- Seaweed-derived Bioactive Compounds
Papers in
-
- Wheat and Barley Genetics and Pathology 3
- Co-authors
- Tessa M. Andermann (1 shared paper)David J. McGee (1 shared paper)S. M. Williams (1 shared paper)Karen M. Ottemann (1 shared paper)Wayseen Wang (6 shared papers)Schu‐Rern Chern (6 shared papers)Chih‐Ping Chen (6 shared papers)Meng Wang (1 shared paper)
- Journals
- Journal of Separation Science (2 papers)Autophagy (1 paper)Infection and Immunity (1 paper)Nature Communications (1 paper)Cell (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Yuting Chen
32 papers receiving 610 citations
Yuting Chen's Hit Papers
Peers
Comparison fields: 5 of 102
- Endocrinology 37
- Aquatic Science 41
- Pediatrics, Perinatology and Child Health 76
- Genetics 99
- Plant Science 124
Countries citing papers authored by Yuting Chen
This map shows the geographic impact of Yuting Chen'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 Yuting Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Chen more than expected).
Fields of papers citing papers by Yuting Chen
This network shows the impact of papers produced by Yuting Chen. 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 Yuting Chen. The network helps show where Yuting Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuting Chen, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CCT2 is an aggrephagy receptor for clearance of solid protein aggregates Hit paper breakdown → | 2022 | 120 |
| 2 | 2007 | 91 | |
| 3 | 2008 | 81 | |
| 4 | 2014 | 51 | |
| 5 | 2015 | 30 | |
| 6 | 2012 | 25 | |
| 7 | 2011 | 24 | |
| 8 | 2021 | 24 | |
| 9 | 2013 | 19 | |
| 10 | 2019 | 18 | |
| 11 | 2013 | 14 | |
| 12 | 2023 | 14 | |
| 13 | 2022 | 13 | |
| 14 | 2022 | 13 | |
| 15 | 2025 | 12 | |
| 16 | 2020 | 10 | |
| 17 | 2023 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2012 | 7 | |
| 20 | 2022 | 7 |
About Yuting Chen
Yuting Chen is a scholar working on Molecular Biology, Plant Science, Pediatrics, Perinatology and Child Health, Epidemiology and Rheumatology, having authored 35 papers that have together received 621 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (6 papers), Spondyloarthritis Studies and Treatments (5 papers), Autophagy in Disease and Therapy (5 papers), Genomic variations and chromosomal abnormalities (4 papers), Wheat and Barley Genetics and Pathology (3 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Endocrinology (37 citations), Aquatic Science (41 citations), Pediatrics, Perinatology and Child Health (76 citations), Genetics (99 citations) and Plant Science (124 citations). Yuting Chen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Tessa M. Andermann, David J. McGee, S. M. Williams, Karen M. Ottemann, Wayseen Wang, Schu‐Rern Chern, Chih‐Ping Chen, Meng Wang, Zaifeng Fan and Huaifang Li. Their work appears in journals such as Journal of Separation Science, Autophagy, Infection and Immunity, Nature Communications and Cell.
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.