D-Index & Metrics Best Publications

Stephan Ripke

Massachusetts General Hospital
United States

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Medicine D-index 103 Citations 75,593 297 World Ranking 4246 National Ranking 2394

Genetics D-index 102 Citations 75,132 267 World Ranking 421 National Ranking 221

Overview

What are the main themes of his work throughout his whole career to date

Stephan Ripke integrates Gene and Inflammation in his studies. He undertakes multidisciplinary studies into Inflammation and Disease in his work. In his study, he carries out multidisciplinary Disease and Degenerative disease research. He regularly ties together related areas like Neuroscience in his Degenerative disease studies. While working in this field, he studies both Neuroscience and Genetics. He combines Genetics and Bioinformatics in his research. He combines Bioinformatics and Gene in his research. Much of his study explores Internal medicine relationship to Odds ratio. His Odds ratio study often links to related topics such as Internal medicine.

Stephan Ripke most often published in these fields:

Gene (100.00%)
Internal medicine (100.00%)
Allele (100.00%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Biological insights from 108 schizophrenia-associated genetic loci

Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Aiden Corvin;James T. R. Walters.
Nature (2014)

6161 Citations

Host-microbe interactions have shaped the genetic architecture of inflammatory bowel disease

Luke Jostins;Stephan Ripke;Rinse K Weersma;Richard H Duerr.
Nature (2012)

4404 Citations

Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis

Jordan W. Smoller;Kenneth Kendler;Nicholas John Craddock;Phil Hyoun Lee.
The Lancet (2013)

3879 Citations

LD score regression distinguishes confounding from polygenicity in genome-wide association studies :

Brendan K Bulik-Sullivan;Po-Ru Loh;Hilary K Finucane;Stephan Ripke.
Nature Genetics (2015)

3073 Citations

Genome-wide association study identifies five new schizophrenia loci

Stephan Ripke;Alan R. Sanders;Kenneth S. Kendler;Douglas F. Levinson.
Nature Genetics (2011)

2508 Citations

Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

S. Hong Lee;Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Stephen V. Faraone.
Nature Genetics (2013)

2097 Citations

GenABEL: an R library for genome-wide association analysis

Y. S. Aulchenko;S. Ripke;A. Isaacs;C. M. Van Duijn.
Bioinformatics (2007)

1975 Citations

Defining the role of common variation in the genomic and biological architecture of adult human height

Andrew R. Wood;Tonu Esko;Jian Yang;Sailaja Vedantam.
Nature Genetics (2014)

1899 Citations

Association analyses identify 38 susceptibility loci for inflammatory bowel disease and highlight shared genetic risk across populations

J Z Liu;S van Sommeren;H Huang;S C Ng.
Nature Genetics (2015)

1786 Citations

Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

Naomi R. Wray;Stephan Ripke;Stephan Ripke;Stephan Ripke;Manuel Mattheisen;MacIej Trzaskowski.
Nature Genetics (2018)

1759 Citations

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Frequent Co-Authors

External Links

Personal Website for Stephan Ripke