Ya-Yu Tsai

2.9k citations
20 papers · 1.4k indexed · 1 hit paper · h-index 10
Topics
Genetic Associations and Epidemiology (9 papers)Genetic and phenotypic traits in livestock (3 papers)Genetic Mapping and Diversity in Plants and Animals (3 papers)

In The Last Decade

Ya-Yu Tsai

18 papers receiving 1.4k citations

Hit Papers

Genome-wide association scan of tag SNPs identifies a sus...20082026201420202008250500750

Peers

Ya-Yu Tsai
Comparison fields: 5 of 104
  • Molecular Biology 848
  • Genetics 485
  • Pulmonary and Respiratory Medicine 263
  • Physiology 210
  • Cancer Research 208
Replace Madhuri S. Salker with:
Madhuri S. Salker Germany
Sandra L. Grimm United States
Emilie Calonne Belgium
Lorin K. Johnson United States
Þórunn Rafnar Iceland
Louise K. Hosking United Kingdom
Brian Gardner United States
Sofie Vandevyver Belgium
Annie L.M. Cheung Hong Kong
Haruko Hiraike Japan
Ya-Yu Tsai relative to Madhuri S. Salker Germany Madhuri S. Salker's profile →
Citations per field
00.5×1.5×2.2×
Madhuri S. Salker · 1×
Citations per year

Countries citing papers authored by Ya-Yu Tsai

Since Specialization
Citations

This map shows the geographic impact of Ya-Yu Tsai'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 Ya-Yu Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya-Yu Tsai more than expected).

Fields of papers citing papers by Ya-Yu Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya-Yu Tsai. 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 Ya-Yu Tsai. The network helps show where Ya-Yu Tsai may publish in the future.

Co-authorship network of co-authors of Ya-Yu Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Ya-Yu Tsai. A scholar is included among the top collaborators of Ya-Yu Tsai 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 Ya-Yu Tsai. Ya-Yu Tsai 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
#WorkIndexed citations
1 23
2 8
3 3
4 9
5 3
6 32
7 56
8 7
9 14
10
Genome-wide association scan of tag SNPs identifies a susceptibility locus for lung cancer at 15q25.1breakdown →
879
11 0
12 0
13 5
14 33
15 23
16 5
17 72
18 7
19 16
20 238

About Ya-Yu Tsai

Ya-Yu Tsai is a scholar working on Genetics, Reproductive Medicine and Pathology and Forensic Medicine, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (9 papers), Genetic and phenotypic traits in livestock (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). The work is most often cited by research in Genetics (485 citations), Cancer Research (208 citations) and Molecular Biology (848 citations). Ya-Yu Tsai has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jayaram Vijayakrishnan, Athena Matakidou, Yufei Wang, Timothy Eisen, Richard S. Houlston, Qiong Dong, Sanjay Shete, Jian Gu, Gordon B. Mills and Peter Broderick. Their work appears in journals such as Nature Genetics, PLoS ONE and Genome Research.

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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