Chia‐I Ko
Impact in
-
- Toxic Organic Pollutants Impact
- Effects and risks of endocrine disrupting chemicals
- Air Quality and Health Impacts
Papers in
-
- Pluripotent Stem Cells Research 6
- Epigenetics and DNA Methylation 2
- Gene Regulatory Network Analysis 2
-
- Effects and risks of endocrine disrupting chemicals 2
- Co-authors
- Alvaro Puga (11 shared papers)Yunxia Fan (6 shared papers)Ying Xia (6 shared papers)Mario Medvedovic (6 shared papers)Vinicius Carreira (4 shared papers)Qin Wang (2 shared papers)Hisaka Kurita (3 shared papers)Jacek Biesiada (4 shared papers)
- Journals
- Toxicological Sciences (4 papers)General and Comparative Endocrinology (1 paper)Current Opinion in Toxicology (1 paper)Environmental Health Perspectives (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Chia‐I Ko
13 papers receiving 353 citations
Peers
Comparison fields: 5 of 66
- Health, Toxicology and Mutagenesis 114
- Biological Psychiatry 18
- Cancer Research 60
- Aging 7
- Physiology 15
Countries citing papers authored by Chia‐I Ko
This map shows the geographic impact of Chia‐I Ko'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 Chia‐I Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐I Ko more than expected).
Fields of papers citing papers by Chia‐I Ko
This network shows the impact of papers produced by Chia‐I Ko. 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 Chia‐I Ko. The network helps show where Chia‐I Ko may publish in the future.
Co-authors
The 25 scholars most cited alongside Chia‐I Ko, 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 | 2015 | 51 | |
| 2 | 2013 | 48 | |
| 3 | 2016 | 45 | |
| 4 | 2015 | 45 | |
| 5 | 2015 | 41 | |
| 6 | 2013 | 32 | |
| 7 | 2011 | 21 | |
| 8 | 2017 | 20 | |
| 9 | 2021 | 19 | |
| 10 | 2008 | 18 | |
| 11 | 2007 | 10 | |
| 12 | 2020 | 8 | |
| 13 | 2022 | 2 |
About Chia‐I Ko
Chia‐I Ko is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Genetics, Pediatrics, Perinatology and Child Health and Physiology, having authored 13 papers that have together received 360 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Epigenetics and DNA Methylation (2 papers), Reproductive biology and impacts on aquatic species (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers), Gene Regulatory Network Analysis (2 papers) and Birth, Development, and Health (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (114 citations), Biological Psychiatry (18 citations), Cancer Research (60 citations), Aging (7 citations) and Physiology (15 citations). Chia‐I Ko has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Alvaro Puga, Yunxia Fan, Ying Xia, Mario Medvedovic, Vinicius Carreira, Qin Wang, Hisaka Kurita, Jacek Biesiada, Xiang Zhang and Qin Wang. Their work appears in journals such as Toxicological Sciences, General and Comparative Endocrinology, Current Opinion in Toxicology, Environmental Health Perspectives and Journal of Biological Chemistry.
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.