Ying-Ja Chen
Impact in
- Genetics top 10%
- Bacterial Genetics and Biotechnology
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
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- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- Genomics and Phylogenetic Studies
Papers in
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- RNA and protein synthesis mechanisms 3
- CRISPR and Genetic Engineering 2
- Genomics and Chromatin Dynamics 1
- Genomics and Phylogenetic Studies 1
- Gene Regulatory Network Analysis 1
- Genetics 1
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 1
- Estrogen and related hormone effects 1
- Co-authors
- Christopher A. Voigt (2 shared papers)Peng Liu (1 shared paper)Todd C. Peterson (1 shared paper)Alec A. K. Nielsen (1 shared paper)Kevin Clancy (1 shared paper)Lih‐Ann Li (1 shared paper)Nai-Chi Hsu (1 shared paper)Bon‐chu Chung (1 shared paper)
- Journals
- Nanomedicine Nanotechnology Biology and Medicine (2 papers)Molecular Endocrinology (1 paper)Nature Biotechnology (1 paper)Nature Methods (1 paper)Analytical Biochemistry (1 paper)
- Partner nations
- United StatesNorwayTaiwan
In The Last Decade
Ying-Ja Chen
7 papers receiving 459 citations
Peers
Comparison fields: 5 of 76
- Genetics 187
- Molecular Biology 372
- Biotechnology 15
- Ecology 43
- Biomedical Engineering 52
Countries citing papers authored by Ying-Ja Chen
This map shows the geographic impact of Ying-Ja 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 Ying-Ja Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying-Ja Chen more than expected).
Fields of papers citing papers by Ying-Ja Chen
This network shows the impact of papers produced by Ying-Ja 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 Ying-Ja Chen. The network helps show where Ying-Ja Chen may publish in the future.
Co-authors
The 15 scholars most cited alongside Ying-Ja 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 | 2013 | 363 | |
| 2 | 1999 | 78 | |
| 3 | 2008 | 8 | |
| 4 | 2010 | 6 | |
| 5 | 2012 | 5 | |
| 6 | 2006 | 2 | |
| 7 | 2007 | 1 |
About Ying-Ja Chen
Ying-Ja Chen is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 463 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), CRISPR and Genetic Engineering (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Estrogen and related hormone effects (1 paper), Genomics and Chromatin Dynamics (1 paper), Biosensors and Analytical Detection (1 paper), Genomics and Phylogenetic Studies (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Genetics (187 citations), Molecular Biology (372 citations), Biotechnology (15 citations), Ecology (43 citations) and Biomedical Engineering (52 citations). Ying-Ja Chen has collaborated with scholars based in United States, Norway and Taiwan. Frequent co-authors include Christopher A. Voigt, Peng Liu, Todd C. Peterson, Alec A. K. Nielsen, Kevin Clancy, Lih‐Ann Li, Nai-Chi Hsu, Bon‐chu Chung, Jui‐Chang Chen and Xiaohua Huang. Their work appears in journals such as Nanomedicine Nanotechnology Biology and Medicine, Molecular Endocrinology, Nature Biotechnology, Nature Methods and Analytical Biochemistry.
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.