Dai‐Dyi Town
Impact in
-
- Prenatal Screening and Diagnostics
- Fetal and Pediatric Neurological Disorders
- Genetics top 10%
- Genomic variations and chromosomal abnormalities
- Genetic Syndromes and Imprinting
Papers in
-
- Prenatal Screening and Diagnostics 42
- Fetal and Pediatric Neurological Disorders 6
- Genetics 42
- Genomic variations and chromosomal abnormalities 37
- Genetic Syndromes and Imprinting 10
- Co-authors
- Chih‐Ping Chen (48 shared papers)Wayseen Wang (45 shared papers)Schu‐Rern Chern (41 shared papers)Chen‐Chi Lee (15 shared papers)Peih-Shan Wu (26 shared papers)Shin-Wen Chen (26 shared papers)Jun-Wei Su (10 shared papers)Chen‐Wen Pan (10 shared papers)
- Journals
- Prenatal Diagnosis (6 papers)Taiwanese Journal of Obstetrics and Gynecology (40 papers)Gene (2 papers)Ultrasound in Obstetrics and Gynecology (1 paper)PubMed (2 papers)
- Partner nations
- Taiwan
In The Last Decade
Dai‐Dyi Town
50 papers receiving 334 citations
Peers
Comparison fields: 5 of 28
- Pediatrics, Perinatology and Child Health 279
- Genetics 279
- Developmental Biology 8
- Urology 15
- Plant Science 73
Countries citing papers authored by Dai‐Dyi Town
This map shows the geographic impact of Dai‐Dyi Town'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 Dai‐Dyi Town with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai‐Dyi Town more than expected).
Fields of papers citing papers by Dai‐Dyi Town
This network shows the impact of papers produced by Dai‐Dyi Town. 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 Dai‐Dyi Town. The network helps show where Dai‐Dyi Town may publish in the future.
Co-authors
The 25 scholars most cited alongside Dai‐Dyi Town, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 33 | |
| 2 | 2002 | 22 | |
| 3 | 2016 | 21 | |
| 4 | 2004 | 21 | |
| 5 | 1998 | 20 | |
| 6 | 2013 | 18 | |
| 7 | 2016 | 17 | |
| 8 | 2019 | 16 | |
| 9 | 2005 | 16 | |
| 10 | 2013 | 13 | |
| 11 | 2013 | 12 | |
| 12 | 2018 | 11 | |
| 13 | 2012 | 11 | |
| 14 | 1999 | 10 | |
| 15 | 2014 | 10 | |
| 16 | 2019 | 10 | |
| 17 | 2016 | 9 | |
| 18 | 2012 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2012 | 7 |
About Dai‐Dyi Town
Dai‐Dyi Town is a scholar working on Pediatrics, Perinatology and Child Health, Genetics, Plant Science, Surgery and Molecular Biology, having authored 51 papers that have together received 380 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (42 papers), Genomic variations and chromosomal abnormalities (37 papers), Chromosomal and Genetic Variations (16 papers), Congenital Anomalies and Fetal Surgery (10 papers), Genetic Syndromes and Imprinting (10 papers), Fetal and Pediatric Neurological Disorders (6 papers), Congenital heart defects research (4 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (279 citations), Genetics (279 citations), Developmental Biology (8 citations), Urology (15 citations) and Plant Science (73 citations). Dai‐Dyi Town has collaborated with scholars based in Taiwan. Frequent co-authors include Chih‐Ping Chen, Wayseen Wang, Schu‐Rern Chern, Chen‐Chi Lee, Peih-Shan Wu, Shin-Wen Chen, Jun-Wei Su, Chen‐Wen Pan, Fang-Tzu Wu and Chien-Wen Yang. Their work appears in journals such as Prenatal Diagnosis, Taiwanese Journal of Obstetrics and Gynecology, Gene, Ultrasound in Obstetrics and Gynecology and PubMed.
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.