John Jen Tai

1.2k total citations
48 papers, 925 citations indexed

About

John Jen Tai is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, John Jen Tai has authored 48 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 11 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in John Jen Tai's 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). John Jen Tai is often cited by papers focused on Genetic Associations and Epidemiology (10 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Genomic variations and chromosomal abnormalities (5 papers). John Jen Tai collaborates with scholars based in Taiwan, United States and India. John Jen Tai's 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 and has published in prestigious journals such as Journal of the American Statistical Association, JNCI Journal of the National Cancer Institute and Gut.

In The Last Decade

John Jen Tai

43 papers receiving 882 citations

Peers

John Jen Tai
Comparison fields: 5 of 126
  • Psychiatry and Mental health 310
  • Pediatrics, Perinatology and Child Health 299
  • Oncology 239
  • Surgery 195
  • Molecular Biology 127
Hong Yang China
Isabelle A. Vallerand Canada
Yang Si China
Richard J.E. Skipworth United Kingdom
Xin Zhong China
Giovanni Palleschi Italy
Mark J. O’Connor United Kingdom
Martin Watson Norway
Nathan Stephens United Kingdom
Klaus Kapelari Austria
Hong Yang China View profile →
Citations per field, relative to John Jen Tai
John Jen Tai · 1×
Citations per year, relative to John Jen Tai
John Jen Tai · 1×

Countries citing papers authored by John Jen Tai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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