Yudianto Pawitan - Epidemiology

Author Information

Yudianto Pawitan is affiliated with the Department of Medical Epidemiology and Biostatistics at Karolinska Institutet in Stockholm, Sweden. His expertise and research contributions primarily lie in the field of epidemiology, with a focus on genetic analysis, cancer studies, and complex biological data interpretation.

Research Contributions

Yudianto Pawitan has made significant contributions to the field of genetic epidemiology and biostatistics. His recent research includes studies on the integration of distinct analysis strategies for tissue-trait association, detection of fusion genes in cancer patients using whole-exome sequencing, and the genetic landscape of the ACE2 coronavirus receptor. He has also explored topics such as leukocyte phenotypes in amyotrophic lateral sclerosis, isoform-level quantification in single-cell RNA sequencing, and the genetic links between obesity and extracellular vesicles. His work often involves advanced statistical methods and bioinformatics to unravel complex biological questions.

Aliases

Yudianto Pawitan is also known by several aliases, including Y Pawitan, Y. Pawitan, and Yudi Pawitan. These variations are often used interchangeably in academic publications and citations.

Publication and Citation Metrics

Metric	Value
Total Citation Count	17,392
H-index	58
Total Paper Count	307

Publications:

Integration of Distinct Analysis Strategies Improves Tissue-Trait Association Identification

DOI: 10.3389/fgene.2022.798269

Year: 2022

Fusion Gene Detection Using Whole-Exome Sequencing Data in Cancer Patients

DOI: 10.3389/fgene.2022.820493

Year: 2022

Genetic Landscape of the ACE2 Coronavirus Receptor.

DOI: 10.1161/CIRCULATIONAHA.121.057888

Year: 2022

Correlation between leukocyte phenotypes and prognosis of amyotrophic lateral sclerosis

DOI: 10.7554/eLife.74065

Year: 2022

Isoform-level quantification for single-cell RNA sequencing

DOI: 10.1093/bioinformatics/btab807

Year: 2022

Genetic and phenotypic links between obesity and extracellular vesicles.

DOI: 10.1093/hmg/ddac069

Year: 2022

The transcriptome‐wide landscape of molecular subtype‐specific mRNA expression profiles in acute myeloid leukemia

DOI: 10.1002/ajh.26141

Year: 2021

Confidence as Likelihood

DOI: 10.1214/20-sts811

Year: 2021

Nontrivial Replication of Loci Detected by Multi-Trait Methods

DOI: 10.3389/fgene.2021.627989

Year: 2021

A nonBayesian view of Hempel's paradox of the ravens

DOI:

Year: 2021

What is Dementia?

How to Detect Interactions?

How Does Multidisciplinarity Enhance Research and Public Health Practice?

Can GCS Facilitate Collaboration Among Researchers?

How do epidemiologists study AMA?

What Are Pharmacological Studies?

What are the Career Opportunities Post-Training?

What Information is Typically Included in a DUA?

What is the Role of Policy in Addressing Needle Sharing?

What is Biological Exposure?

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