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 75 Citations 28,280 244 World Ranking 14315 National Ranking 7405
Genetics D-index 75 Citations 28,182 228 World Ranking 1226 National Ranking 579

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Cancer
  • Genetics

His main research concerns Genetics, Genome-wide association study, Cancer, Single-nucleotide polymorphism and Locus. Zhaoming Wang has included themes like Odds ratio and Body mass index in his Genetics study. His Genome-wide association study research incorporates elements of Breast cancer, Internal medicine, Linkage disequilibrium and Oncology.

His biological study spans a wide range of topics, including Autosome, Aneuploidy and Etiology. His study in Single-nucleotide polymorphism is interdisciplinary in nature, drawing from both Carcinogenesis, Chromosome and Bladder cancer. The Locus study combines topics in areas such as Carcinoma, Gene mapping and Adenocarcinoma.

His most cited work include:

  • Defining the role of common variation in the genomic and biological architecture of adult human height (1407 citations)
  • A genome-wide association study identifies alleles in FGFR2 associated with risk of sporadic postmenopausal breast cancer (1364 citations)
  • A genome-wide association study identifies alleles in FGFR2 associated with risk of sporadic postmenopausal breast cancer (1364 citations)

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

Zhaoming Wang mainly focuses on Genome-wide association study, Genetics, Single-nucleotide polymorphism, Internal medicine and Oncology. His studies deal with areas such as Odds ratio, Cancer, Case-control study, Genetic association and Locus as well as Genome-wide association study. His research integrates issues of Cancer research and Etiology in his study of Cancer.

His studies in Linkage disequilibrium, Genotype, SNP, Genetic variation and Gene are all subfields of Genetics research. His research in Single-nucleotide polymorphism intersects with topics in Prostate cancer, Allele and Bioinformatics. The concepts of his Oncology study are interwoven with issues in Childhood Cancer Survivor Study, Breast cancer, Proportional hazards model and Germline mutation.

He most often published in these fields:

  • Genome-wide association study (77.70%)
  • Genetics (68.71%)
  • Single-nucleotide polymorphism (57.19%)

What were the highlights of his more recent work (between 2018-2021)?

  • Internal medicine (37.41%)
  • Oncology (35.25%)
  • Genome-wide association study (77.70%)

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

Zhaoming Wang mainly investigates Internal medicine, Oncology, Genome-wide association study, Cohort and Cancer. His Internal medicine research incorporates themes from Mendelian randomization and Poisson regression. His study on Oncology also encompasses disciplines like

  • Childhood Cancer Survivor Study which is related to area like SNP, Allele and Radiation therapy,
  • Endometrial cancer that connect with fields like Expression quantitative trait loci, Endometrium, Mendelian Randomization Analysis, Blood lipids and Metabolic syndrome,
  • Germline mutation and related Chinese population, Cancer predisposition, Frameshift mutation and Leukemia.

His Genome-wide association study research entails a greater understanding of Single-nucleotide polymorphism. His Cancer research is under the purview of Genetics. His work on Carcinogenesis and Nonsense as part of general Genetics study is frequently linked to Loss function, bridging the gap between disciplines.

Between 2018 and 2021, his most popular works were:

  • Analysis of error profiles in deep next-generation sequencing data (75 citations)
  • Agnostic Pathway/Gene Set Analysis of Genome-Wide Association Data Identifies Associations for Pancreatic Cancer. (13 citations)
  • Agnostic Pathway/Gene Set Analysis of Genome-Wide Association Data Identifies Associations for Pancreatic Cancer. (13 citations)

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

  • Gene
  • Cancer
  • Mutation

Zhaoming Wang mostly deals with Oncology, Internal medicine, Genome-wide association study, Cancer and Childhood cancer. His Genome-wide association study study is associated with Single-nucleotide polymorphism. His study in the field of Minor allele frequency also crosses realms of Basal cell carcinoma.

His Cancer research is within the category of Genetics. Zhaoming Wang works mostly in the field of Genetics, limiting it down to topics relating to Osteosarcoma and, in certain cases, Pediatric cancer and Odds ratio. Zhaoming Wang focuses mostly in the field of Childhood cancer, narrowing it down to topics relating to Cohort study and, in certain cases, Cranial radiation, Cranial radiotherapy, Locus and Biomarker.

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

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 study identifies alleles in FGFR2 associated with risk of sporadic postmenopausal breast cancer

David J Hunter;David J Hunter;Peter Kraft;Kevin B Jacobs;David G Cox.
Nature Genetics (2007)

1739 Citations

Genetic studies of body mass index yield new insights for obesity biology

Adam E. Locke;Bratati Kahali;Sonja I. Berndt;Anne E. Justice.
Faculty of Health; Institute of Health and Biomedical Innovation (2015)

1689 Citations

Genome-wide association study of prostate cancer identifies a second risk locus at 8q24

Meredith Yeager;Nick Orr;Richard B Hayes;Kevin B Jacobs.
Nature Genetics (2007)

1314 Citations

Multiple loci identified in a genome-wide association study of prostate cancer

Gilles Thomas;Kevin B Jacobs;Meredith Yeager;Meredith Yeager;Peter Kraft.
Nature Genetics (2008)

1094 Citations

Association analysis identifies 65 new breast cancer risk loci

Kyriaki Michailidou;Kyriaki Michailidou;Sara Lindström;Sara Lindström;Joe Dennis;Jonathan Beesley.
Nature (2017)

969 Citations

Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

Bjarni J. Vilhjálmsson;Jian Yang;Hilary K. Finucane;Alexander Gusev.
American Journal of Human Genetics (2015)

960 Citations

Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture

Sonja I Berndt;Stefan Gustafsson;Stefan Gustafsson;Reedik Mägi;Reedik Mägi;Andrea Ganna.
Nature Genetics (2013)

645 Citations

A multistage genome-wide association study in breast cancer identifies two new risk alleles at 1p11.2 and 14q24.1 (RAD51L1).

Gilles Thomas;Kevin B Jacobs;Kevin B Jacobs;Peter Kraft;Meredith Yeager;Meredith Yeager.
Nature Genetics (2009)

638 Citations

The genomic landscape of pediatric and young adult T-lineage acute lymphoblastic leukemia

Yu Liu;John Easton;Ying Shao;Jamie Maciaszek.
Nature Genetics (2017)

587 Citations

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