D-Index & Metrics Best Publications
Research.com 2022 Best Scientist Award Badge
Genetics and Molecular Biology
Finland
2022

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 D-index 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. Citations Publications World Ranking National Ranking
Best Scientists D-index 167 Citations 137,464 735 World Ranking 659 National Ranking 8
Medicine D-index 136 Citations 98,338 707 World Ranking 1088 National Ranking 10
Genetics D-index 134 Citations 95,659 661 World Ranking 130 National Ranking 1

Research.com Recognitions

Awards & Achievements

2023 - Research.com Medicine in Finland Leader Award

2023 - Research.com Genetics in Finland Leader Award

2022 - Research.com Best Scientist Award

2022 - Research.com Genetics and Molecular Biology in Finland Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Internal medicine

His scientific interests lie mostly in Genome-wide association study, Genetics, Genetic association, Allele and Quantitative trait locus. His Genome-wide association study study combines topics from a wide range of disciplines, such as Odds ratio, Internal medicine, Case-control study, Polymorphism and Genetic architecture. His research brings together the fields of Disease and Genetics.

His Genetic association research also works with subjects such as

  • Obesity that intertwine with fields like Body mass index,
  • Schizophrenia, which have a strong connection to Bipolar disorder. His Allele research is multidisciplinary, incorporating elements of Pleiotropy and Medical genetics. The Quantitative trait locus study combines topics in areas such as Heritability, Expression quantitative trait loci, Menarche and Genomics.

His most cited work include:

  • Analysis of protein-coding genetic variation in 60,706 humans (6694 citations)
  • Biological insights from 108 schizophrenia-associated genetic loci (4834 citations)
  • Biological insights from 108 schizophrenia-associated genetic loci (4834 citations)

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

The scientist’s investigation covers issues in Genetics, Genome-wide association study, Gene, Internal medicine and Genetic association. His work in Genetics is not limited to one particular discipline; it also encompasses Disease. The study incorporates disciplines such as SNP, Polymorphism, Bioinformatics, Quantitative trait locus and Computational biology in addition to Genome-wide association study.

The various areas that Aarno Palotie examines in his Internal medicine study include Endocrinology, Oncology and Cardiology. His studies in Genetic association integrate themes in fields like Meta-analysis, Expression quantitative trait loci, Clinical psychology and Candidate gene. His Locus research integrates issues from Genetic linkage and Haplotype.

He most often published in these fields:

  • Genetics (83.15%)
  • Genome-wide association study (63.08%)
  • Gene (32.04%)

What were the highlights of his more recent work (between 2017-2021)?

  • Genetics (83.15%)
  • Genome-wide association study (63.08%)
  • Internal medicine (30.66%)

In recent papers he was focusing on the following fields of study:

Aarno Palotie focuses on Genetics, Genome-wide association study, Internal medicine, Genetic association and Gene. His study focuses on the intersection of Genetics and fields such as Disease with connections in the field of Biobank. Aarno Palotie interconnects Case-control study, Allele, Allele frequency, Heritability and Computational biology in the investigation of issues within Genome-wide association study.

His Internal medicine study incorporates themes from Type 2 diabetes, Oncology and Hyperlipidemia. His research investigates the link between Genetic association and topics such as Clinical psychology that cross with problems in Schizophrenia and Major depressive disorder. In his study, Mendelian randomization and Single-nucleotide polymorphism is inextricably linked to Locus, which falls within the broad field of Genetic architecture.

Between 2017 and 2021, his most popular works were:

  • Analysis of shared heritability in common disorders of the brain (726 citations)
  • Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence (403 citations)
  • Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence (403 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • Internal medicine
  • Mutation

His scientific interests lie mostly in Genome-wide association study, Genetics, Genetic association, Exome sequencing and Gene. His Genome-wide association study study integrates concerns from other disciplines, such as Schizophrenia, Quantitative trait locus, Genetic architecture, Allele and Comorbidity. The Genetics study which covers Disease that intersects with Biobank.

He combines subjects such as Meta-analysis, Pleiotropy, Immune system and Medical genetics with his study of Genetic association. His work deals with themes such as Autism, Intellectual disability and Allele frequency, which intersect with Exome sequencing. The concepts of his Gene study are interwoven with issues in Drug discovery and Kinase activity.

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

Analysis of protein-coding genetic variation in 60,706 humans

Monkol Lek;Konrad J. Karczewski;Konrad J. Karczewski;Eric V. Minikel;Eric V. Minikel;Kaitlin E. Samocha.
Nature (2016)

8828 Citations

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

Integrating common and rare genetic variation in diverse human populations

D M Altshuler;R A Gibbs;L Peltonen.
Nature (2010)

4138 Citations

Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis

Stephen Sawcer;Garrett Hellenthal;Matti Pirinen;Chris C. A. Spencer.
Nature (2011)

2667 Citations

Discovery and refinement of loci associated with lipid levels

Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta;Gina M. Peloso;Gina M. Peloso;Gina M. Peloso.
Nature Genetics (2013)

2398 Citations

Synaptic, transcriptional and chromatin genes disrupted in autism

Silvia De Rubeis;Xin-Xin He;Arthur P Goldberg;Christopher S. Poultney.
Nature (2014)

2220 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

A reference panel of 64,976 haplotypes for genotype imputation

Shane McCarthy;Sayantan Das;Warren Kretzschmar;Olivier Delaneau.
Nature Genetics (2016)

2046 Citations

In vivo amplification of the androgen receptor gene and progression of human prostate cancer.

Tapio Visakorpi;Eija Hyytinen;Pasi Koivisto;Minna Tanner.
Nature Genetics (1995)

1820 Citations

A mutation in APP protects against Alzheimer’s disease and age-related cognitive decline

Thorlakur Jonsson;Jasvinder K. Atwal;Stacy Steinberg;Jon Snaedal.
Nature (2012)

1783 Citations

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