Abhiram Rao

Abhiram Rao

Stanford University

H-index: 20

North America-United States

About Abhiram Rao

Abhiram Rao, With an exceptional h-index of 20 and a recent h-index of 19 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Computational Biology, Genomics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Integration of rare expression outlier-associated variants improves polygenic risk prediction

Exploiting the GTEx resources to decipher the mechanisms at GWAS loci

Population-scale tissue transcriptomics maps long non-coding RNAs to complex disease

Chromatin accessibility changes induced by the microbial metabolite butyrate reveal possible mechanisms of anti-cancer effects

FAM13A affects body fat distribution and adipocyte function

Integration of rare large-effect expression variants improves polygenic risk prediction

Fine-mapping and QTL tissue-sharing information improve causal gene identification and transcriptome prediction performance

PTWAS: investigating tissue-relevant causal molecular mechanisms of complex traits using probabilistic TWAS analysis

Abhiram Rao Information

University

Position

___

Citations(all)

4422

Citations(since 2020)

4389

Cited By

660

hIndex(all)

20

hIndex(since 2020)

19

i10Index(all)

23

i10Index(since 2020)

22

Email

University Profile Page

Google Scholar

Abhiram Rao Skills & Research Interests

Computational Biology

Genomics

Top articles of Abhiram Rao

Integration of rare expression outlier-associated variants improves polygenic risk prediction

The American Journal of Human Genetics

2022/6/2

Chromatin accessibility changes induced by the microbial metabolite butyrate reveal possible mechanisms of anti-cancer effects

bioRxiv

2021/1/1

Fine-mapping and QTL tissue-sharing information improve causal gene identification and transcriptome prediction performance

BioRxiv

2020/1/1

PTWAS: investigating tissue-relevant causal molecular mechanisms of complex traits using probabilistic TWAS analysis

Genome biology

2020/12

A vast resource of allelic expression data spanning human tissues

Genome biology

2020/12

The GTEx Consortium atlas of genetic regulatory effects across human tissues

Science

2020/9/11

PhenomeXcan: Mapping the genome to the phenome through the transcriptome

Science Advances

2020/9/10

Clonally expanding smooth muscle cells promote atherosclerosis by escaping efferocytosis and activating the complement cascade

Proceedings of the National Academy of Sciences

2020/7/7

See List of Professors in Abhiram Rao University(Stanford University)