John Jen Tai
- Psychiatry and Mental health top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Oncology top 10%
- Surgery
- Molecular Biology
- Co-authors
- Horng‐Huei LiouChin‐Chuan HungMing‐Jen LeeChun‐Jung LinYow‐Wen HsiehMeei‐Fang LouTsung-Jen HsiehPeichun Amy Tsai
- Topics
- Genetic Associations and Epidemiology (10 papers)Genetic Mapping and Diversity in Plants and Animals (9 papers)Genomic variations and chromosomal abnormalities (5 papers)
- Journals
- Journal of the American Statistical AssociationJNCI Journal of the National Cancer InstituteGut
- Partner nations
- TaiwanUnited StatesIndia
In The Last Decade
John Jen Tai
43 papers receiving 882 citations
Peers
Comparison fields: 5 of 126
- Psychiatry and Mental health 310
- Pediatrics, Perinatology and Child Health 299
- Oncology 239
- Surgery 195
- Molecular Biology 127
Countries citing papers authored by John Jen Tai
This map shows the geographic impact of John Jen Tai'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 John Jen Tai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Jen Tai more than expected).
Fields of papers citing papers by John Jen Tai
This network shows the impact of papers produced by John Jen Tai. 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 John Jen Tai. The network helps show where John Jen Tai may publish in the future.
Co-authorship network of co-authors of John Jen Tai
This figure shows the co-authorship network connecting the top 25 collaborators of John Jen Tai. A scholar is included among the top collaborators of John Jen Tai 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 John Jen Tai. John Jen Tai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 68 | |
| 2 | 5 | |
| 3 | 6 | |
| 4 | 18 | |
| 5 | 23 | |
| 6 | 42 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 75 | |
| 11 | 0 | |
| 12 | 128 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 7 | |
| 16 | 6 | |
| 17 | 24 | |
| 18 | 3 | |
| 19 | 22 | |
| 20 | 3 |
About John Jen Tai
John Jen Tai is a scholar working on Genetics, Statistics and Probability and Psychiatry and Mental health, having authored 48 papers that have together received 925 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (10 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Genomic variations and chromosomal abnormalities (5 papers). The work is most often cited by research in Psychiatry and Mental health (310 citations), Pediatrics, Perinatology and Child Health (299 citations) and Gastroenterology (76 citations). John Jen Tai has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Horng‐Huei Liou, Chin‐Chuan Hung, Ming‐Jen Lee, Chun‐Jung Lin, Yow‐Wen Hsieh, Meei‐Fang Lou, Tsung-Jen Hsieh, Peichun Amy Tsai, Ping‐Keung Yip and Wei-Lun Chang. Their work appears in journals such as Journal of the American Statistical Association, JNCI Journal of the National Cancer Institute and Gut.
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.