D-Index & Metrics Best Publications

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
Medicine D-index 104 Citations 58,267 600 World Ranking 4087 National Ranking 2312

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Gene
  • Genetics

The scientist’s investigation covers issues in Genome-wide association study, Internal medicine, Genetics, Endocrinology and Body mass index. He has researched Genome-wide association study in several fields, including CDKAL1, Linkage disequilibrium, Allele, Glucose homeostasis and Imputation. His Internal medicine research is multidisciplinary, incorporating elements of Type 2 diabetes and Oncology.

All of his Genetics and Genetic association, Single-nucleotide polymorphism, Locus, Quantitative trait locus and Genetic architecture investigations are sub-components of the entire Genetics study. His Endocrinology study incorporates themes from Alpha-Ketoglutarate-Dependent Dioxygenase FTO and Genotype. His work deals with themes such as Obesity, Genetic predisposition, FTO gene, Polymorphism and SH2B1, which intersect with Body mass index.

His most cited work include:

  • Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index (2348 citations)
  • Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index (2348 citations)
  • A genome-wide association search for type 2 diabetes genes in African Americans. (1727 citations)

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

His primary areas of investigation include Internal medicine, Endocrinology, Obesity, Type 2 diabetes and Body mass index. As a part of the same scientific family, Lu Qi mostly works in the field of Internal medicine, focusing on Diabetes mellitus and, on occasion, Gestational diabetes and Risk factor. His studies deal with areas such as Allele and Genotype as well as Endocrinology.

As part of one scientific family, Lu Qi deals mainly with the area of Obesity, narrowing it down to issues related to the Genetic predisposition, and often Genetic association. Lu Qi interconnects Genetics, Genome-wide association study, Single-nucleotide polymorphism and Glycemic in the investigation of issues within Type 2 diabetes. Lu Qi combines subjects such as FTO gene, Prospective cohort study and Gerontology with his study of Body mass index.

He most often published in these fields:

  • Internal medicine (78.43%)
  • Endocrinology (51.78%)
  • Obesity (45.18%)

What were the highlights of his more recent work (between 2019-2021)?

  • Internal medicine (78.43%)
  • Prospective cohort study (24.49%)
  • Obesity (45.18%)

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

Lu Qi mainly investigates Internal medicine, Prospective cohort study, Obesity, Overweight and Endocrinology. Internal medicine and Type 2 diabetes are frequently intertwined in his study. His research integrates issues of Glycemic and Insulin resistance in his study of Type 2 diabetes.

His Obesity research includes themes of Offspring and Body mass index. His Overweight research incorporates elements of Weight loss and Population study. In general Endocrinology, his work in Bone mineral, Weight Loss Diets, Lipoprotein and Triglyceride is often linked to Context linking many areas of study.

Between 2019 and 2021, his most popular works were:

  • Shared genetic and experimental links between obesity-related traits and asthma subtypes in UK Biobank (32 citations)
  • Long-Term Changes in Gut Microbial Metabolite Trimethylamine N-Oxide and Coronary Heart Disease Risk (27 citations)
  • Association Between Healthy Eating Patterns and Risk of Cardiovascular Disease (23 citations)

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

  • Internal medicine
  • Gene
  • Diabetes mellitus

His main research concerns Prospective cohort study, Internal medicine, Disease, Incidence and Lower risk. The various areas that Lu Qi examines in his Prospective cohort study study include All cause mortality, Genetic predisposition, Cause specific mortality and Antibiotics. His research investigates the link between Genetic predisposition and topics such as Myocardial infarction that cross with problems in Obesity.

His study on Chd risk is often connected to Perfluorooctanesulfonic acid as part of broader study in Internal medicine. His Disease research also works with subjects such as

  • Hazard ratio that intertwine with fields like Mediterranean diet, Diabetes mellitus, Research design and Proportional hazards model,
  • Mendelian randomization which connect with Odds ratio, Metabolome and Mendelian Randomization Analysis. His Incidence research focuses on subjects like Cohort, which are linked to Type 2 diabetes, Relative risk and Confidence interval.

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

Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

Elizabeth K. Speliotes;Elizabeth K. Speliotes;Cristen J. Willer;Sonja I. Berndt;Keri L. Monda.
Nature Genetics (2010)

3231 Citations

New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk

Josée Dupuis;Josée Dupuis;Claudia Langenberg;Inga Prokopenko;Richa Saxena;Richa Saxena.
Nature Genetics (2010)

2281 Citations

New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk (vol 42, pg 105, 2010)

J Dupuis;C Langenberg;I Prokopenko;R Saxena.
Nature Genetics (2010)

2193 Citations

Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes

E Zeggini;L J Scott;R Saxena;B F Voight.
Nature Genetics (2008)

2180 Citations

Hundreds of variants clustered in genomic loci and biological pathways affect human height

Hana Lango Allen;Karol Estrada;Guillaume Lettre;Sonja I. Berndt.
Nature (2010)

2174 Citations

Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

Benjamin F. Voight;Benjamin F. Voight;Laura J. Scott;Valgerdur Steinthorsdottir;Andrew P. Morris.
Nature Genetics (2010)

2041 Citations

Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

Andrew P Morris;Benjamin F Voight;Benjamin F Voight;Tanya M Teslovich;Teresa Ferreira.
Nature Genetics (2012)

1960 Citations

Six new loci associated with body mass index highlight a neuronal influence on body weight regulation

Cristen J. Willer;Elizabeth K. Speliotes;Elizabeth K. Speliotes;Ruth J. F. Loos;Shengxu Li.
Nature Genetics (2009)

1940 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

A genome-wide association search for type 2 diabetes genes in African Americans.

N D Palmer;C W McDonough;P J Hicks;B H Roh.
PLOS ONE (2012)

1784 Citations

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