I‐Ya Chen
Impact in
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
Papers in
-
- Mitochondrial Function and Pathology 3
- Epigenetics and DNA Methylation 2
-
- Adipose Tissue and Metabolism 4
- Co-authors
- Pei‐Wen Wang (8 shared papers)Ching‐Jung Hsieh (5 shared papers)Rue‐Tsuan Liu (4 shared papers)Chia‐Wei Liou (5 shared papers)Shao‐Wen Weng (5 shared papers)Tsu‐Kung Lin (4 shared papers)Suh‐Hang Hank Juo (3 shared papers)Shang‐Der Chen (3 shared papers)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (3 papers)Diabetes Research and Clinical Practice (2 papers)Journal of Clinical Medicine (1 paper)International Journal of Molecular Sciences (1 paper)Biomedical Journal (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
I‐Ya Chen
17 papers receiving 353 citations
Peers
Comparison fields: 5 of 65
- Endocrine and Autonomic Systems 80
- Clinical Biochemistry 44
- Aging 10
- Endocrinology, Diabetes and Metabolism 92
- Physiology 141
Countries citing papers authored by I‐Ya Chen
This map shows the geographic impact of I‐Ya 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 I‐Ya Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I‐Ya Chen more than expected).
Fields of papers citing papers by I‐Ya Chen
This network shows the impact of papers produced by I‐Ya 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 I‐Ya Chen. The network helps show where I‐Ya Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside I‐Ya 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
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 52 | |
| 2 | 2019 | 45 | |
| 3 | 2005 | 42 | |
| 4 | 2012 | 39 | |
| 5 | 2004 | 34 | |
| 6 | 2013 | 30 | |
| 7 | 2009 | 27 | |
| 8 | 2021 | 25 | |
| 9 | 2007 | 24 | |
| 10 | Up-regulation of PER3 Expression Is Correlated with Better Clinical Outcome in Acute Leukemia. | 2015 | 22 |
| 11 | 2008 | 12 | |
| 12 | 2021 | 6 | |
| 13 | 2022 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2024 | 0 |
About I‐Ya Chen
I‐Ya Chen is a scholar working on Molecular Biology, Physiology, Genetics, Endocrine and Autonomic Systems and Epidemiology, having authored 18 papers that have together received 366 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (4 papers), Circadian rhythm and melatonin (4 papers), Metabolism and Genetic Disorders (3 papers), Thyroid Disorders and Treatments (3 papers), Mitochondrial Function and Pathology (3 papers), Acute Myeloid Leukemia Research (2 papers), Epigenetics and DNA Methylation (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (80 citations), Clinical Biochemistry (44 citations), Aging (10 citations), Endocrinology, Diabetes and Metabolism (92 citations) and Physiology (141 citations). I‐Ya Chen has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Pei‐Wen Wang, Ching‐Jung Hsieh, Rue‐Tsuan Liu, Chia‐Wei Liou, Shao‐Wen Weng, Tsu‐Kung Lin, Suh‐Hang Hank Juo, Shang‐Der Chen, Ming‐Yu Yang and Edward Hsi. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Research and Clinical Practice, Journal of Clinical Medicine, International Journal of Molecular Sciences and Biomedical Journal.
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.