I‐Ya Chen

465 citations
18 papers · 376 · h-index 11

Impact in

Papers in

    • Epigenetics and DNA Methylation 2
    • Mitochondrial Function and Pathology 2
    • Peroxisome Proliferator-Activated Receptors 1
    • Adipose Tissue and Metabolism 3

I‐Ya Chen

17 papers receiving 364 citations

Peers

I‐Ya Chen
Comparison fields: 5 of 59
  • Endocrine and Autonomic Systems 77
  • Endocrinology, Diabetes and Metabolism 80
  • Physiology 113
  • Aging 8
  • Clinical Biochemistry 29
Replace E. Mutel with:
E. Mutel France
Simon D. Rees United Kingdom
Marsha Newman United States
Roldan M. de Guia Germany
Lauren C. Briere United States
Mary P. LaPierre Canada
Sharon O. Jensen-Cody United States
Maria Fernanda Rodrigues Graciano Brazil
Claudia Gebhardt Germany
Martina Škopková Slovakia
I‐Ya Chen relative to E. Mutel France E. Mutel's profile →
Citations per field
00.5×
E. Mutel · 1×
Citations per year

Countries citing papers authored by I‐Ya Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with I‐Ya Chen Line = papers co-authored together I‐Ya Chen links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 200853
2 201946
3 200542
4 201240
5 200434
6 201330
7 202128
8 200928
9 200723
10
Up-regulation of PER3 Expression Is Correlated with Better Clinical Outcome in Acute Leukemia.
201522
11 200812
12 20217
13 20225
14 20253
15 20251
16 20231
17 20201
18 20240

About I‐Ya Chen

I‐Ya Chen is a scholar working on Molecular Biology, Physiology, Genetics, Endocrine and Autonomic Systems and Endocrinology, Diabetes and Metabolism, having authored 18 papers that have together received 376 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (3 papers), Thyroid Disorders and Treatments (3 papers), Adipose Tissue and Metabolism (3 papers), Acute Myeloid Leukemia Research (2 papers), Epigenetics and DNA Methylation (2 papers), Genetic Syndromes and Imprinting (2 papers), Mitochondrial Function and Pathology (2 papers) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (77 citations), Endocrinology, Diabetes and Metabolism (80 citations), Physiology (113 citations), Aging (8 citations) and Clinical Biochemistry (29 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, Metabolism, Antioxidants and Redox Signaling and Blood Cells Molecules and Diseases.

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.

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