Chung-Yen Pai
- Molecular Biology
- Genetics
- Cellular and Molecular Neuroscience
- Cell Biology
- Physical Therapy, Sports Therapy and Rehabilitation top 5%
- Co-authors
- Chin‐Tin ChenDmitri A. BessarabEstee KurantT.-S. KuoAdi SalzbergYi SunGunvor GardSimon M. Hsiang
- Topics
- Forensic and Genetic Research (5 papers)Forensic Entomology and Diptera Studies (4 papers)Molecular Biology Techniques and Applications (3 papers)
In The Last Decade
Chung-Yen Pai
16 papers receiving 476 citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 279
- Genetics 112
- Cellular and Molecular Neuroscience 80
- Cell Biology 66
- Physical Therapy, Sports Therapy and Rehabilitation 63
Countries citing papers authored by Chung-Yen Pai
This map shows the geographic impact of Chung-Yen Pai'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 Chung-Yen Pai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chung-Yen Pai more than expected).
Fields of papers citing papers by Chung-Yen Pai
This network shows the impact of papers produced by Chung-Yen Pai. 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 Chung-Yen Pai. The network helps show where Chung-Yen Pai may publish in the future.
Co-authorship network of co-authors of Chung-Yen Pai
This figure shows the co-authorship network connecting the top 25 collaborators of Chung-Yen Pai. A scholar is included among the top collaborators of Chung-Yen Pai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chung-Yen Pai. Chung-Yen Pai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | Population analysis of Forensically Important Calliphoridae on Pig Corpses in Taiwan | 4 |
| 5 | 36 | |
| 6 | 11 | |
| 7 | Assessment of the Role of a Functional VNTR Polymorphism in MAOA Gene Promoter: A Preliminary Study | 8 |
| 8 | 14 | |
| 9 | Betel-quid chewing, but not smoking, has a significant impact on mitochondrial DNA sequence in buccal epithelial cells—implications for forensic DNA typing | 1 |
| 10 | 28 | |
| 11 | 98 | |
| 12 | 269 | |
| 13 | Haplotyping of mitochondrial DNA in the D-loop region by PCR: forensic application. | 1 |
| 14 | Prevention of false results from preferential PCR amplification or VNTR alleles. | 3 |
| 15 | Frequency distribution of hypervariable VNTRs in Apo B, HVR-Ig and COL2A1 loci in Taiwan: forensic application. | 1 |
| 16 | 7 |
About Chung-Yen Pai
Chung-Yen Pai is a scholar working on Periodontics, Genetics and Insect Science, having authored 16 papers that have together received 494 indexed citations. Recurring topics across this work include Forensic and Genetic Research (5 papers), Forensic Entomology and Diptera Studies (4 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (63 citations), Aging (8 citations) and Cellular and Molecular Neuroscience (80 citations). Chung-Yen Pai has collaborated with scholars based in Taiwan, Malaysia and Israel. Frequent co-authors include Chin‐Tin Chen, Dmitri A. Bessarab, Estee Kurant, T.-S. Kuo, Adi Salzberg, Yi Sun, Gunvor Gard, Simon M. Hsiang, John Abeysekera and Tom B. Leamon. Their work appears in journals such as Genes & Development, Analytica Chimica Acta and Ergonomics.
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.