Ketian Yu

2.7k total citations
4 papers, 63 citations indexed

About

Ketian Yu is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Ketian Yu has authored 4 papers receiving a total of 63 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Genetics. Recurrent topics in Ketian Yu's work include Genetic Associations and Epidemiology (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). Ketian Yu is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). Ketian Yu collaborates with scholars based in United States, Austria and Estonia. Ketian Yu's co-authors include Corbin Quick, Yuhua Zhang, Hae Kyung Im, Alvaro Barbeira, Roger Piqué-Regi, Francesca Luca, Xiaoquan Wen, Jacob Pleiness, Jonathon LeFaive and Sayantan Das and has published in prestigious journals such as The American Journal of Human Genetics, Genome biology and Multiple Sclerosis Journal.

In The Last Decade

Ketian Yu

3 papers receiving 63 citations

Peers

Ketian Yu
Colby T. Marvin United States
Kisung Nam South Korea
Kristen Lee United States
A. Stuckey United Kingdom
Alex Caulton New Zealand
Zhanyu Du China
Nicole B. Coggins United States
Ketian Yu
Citations per year, relative to Ketian Yu Ketian Yu (= 1×) peers Rossano Atzeni

Countries citing papers authored by Ketian Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ketian Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ketian Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Ketian Yu. A scholar is included among the top collaborators of Ketian Yu 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 Ketian Yu. Ketian Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Yu, Ketian, Karol Estrada, Tõnu Esko, et al.. (2025). Plasma Metabolic Outliers Identified in Estonian Human Knockouts. Metabolites. 15(5). 323–323.
2.
Noroozi, Rezvan, Hui‐Hsin Tsai, Ketian Yu, et al.. (2025). Metabolic and lipid alterations in multiple sclerosis linked to disease severity. Multiple Sclerosis Journal. 31(4). 433–443. 2 indexed citations
3.
Yu, Ketian, Sayantan Das, Jonathon LeFaive, et al.. (2022). Meta-imputation: An efficient method to combine genotype data after imputation with multiple reference panels. The American Journal of Human Genetics. 109(6). 1007–1015. 16 indexed citations
4.
Zhang, Yuhua, Corbin Quick, Ketian Yu, et al.. (2020). PTWAS: investigating tissue-relevant causal molecular mechanisms of complex traits using probabilistic TWAS analysis. Genome biology. 21(1). 232–232. 45 indexed citations

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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