H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Medicine D-index 91 Citations 33,157 297 World Ranking 5557 National Ranking 3096

Research.com Recognitions

Awards & Achievements

2015 - Fellow of the American Association for the Advancement of Science (AAAS)

2009 - Fellow of the American Statistical Association (ASA)

Overview

What is he best known for?

The fields of study he is best known for:

  • Cancer
  • Internal medicine
  • Statistics

Daniel O. Stram spends much of his time researching Genetics, Cancer, Single-nucleotide polymorphism, Internal medicine and Genome-wide association study. Daniel O. Stram combines subjects such as Meta-analysis, Histopathology, Pathology, Neuroblastoma and Physiology with his study of Cancer. The concepts of his Single-nucleotide polymorphism study are interwoven with issues in Ovarian cancer and Allele frequency.

He studied Internal medicine and Oncology that intersect with Candidate gene. The study incorporates disciplines such as Bioinformatics, Case-control study, Allele, Genetic association and Locus in addition to Genome-wide association study. His work in Case-control study addresses subjects such as Odds ratio, which are connected to disciplines such as Chromosome.

His most cited work include:

  • Treatment of High-Risk Neuroblastoma with Intensive Chemotherapy, Radiotherapy, Autologous Bone Marrow Transplantation, and 13-cis-Retinoic Acid (1542 citations)
  • Large-scale genotyping identifies 41 new loci associated with breast cancer risk (834 citations)
  • Variance components testing in the longitudinal mixed effects model. (795 citations)

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

His main research concerns Internal medicine, Oncology, Single-nucleotide polymorphism, Cancer and Genome-wide association study. His is involved in several facets of Internal medicine study, as is seen by his studies on Breast cancer, Prostate cancer, Case-control study and Risk factor. His Oncology research includes elements of Cohort study, Bioinformatics, Gynecology, Ovarian cancer and Cohort.

His work deals with themes such as Allele and Haplotype, which intersect with Single-nucleotide polymorphism. His Cancer research incorporates themes from Prospective cohort study, Lung cancer, Incidence, Pathology and Neuroblastoma. His Genome-wide association study study is concerned with the larger field of Genetics.

He most often published in these fields:

  • Internal medicine (36.57%)
  • Oncology (27.07%)
  • Single-nucleotide polymorphism (26.87%)

What were the highlights of his more recent work (between 2016-2021)?

  • Internal medicine (36.57%)
  • Oncology (27.07%)
  • Genome-wide association study (24.04%)

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

The scientist’s investigation covers issues in Internal medicine, Oncology, Genome-wide association study, Breast cancer and Cancer. His studies in Internal medicine integrate themes in fields like Endocrinology, Single-nucleotide polymorphism and Carcinogen. His study focuses on the intersection of Oncology and fields such as Multiethnic cohort with connections in the field of Pancreatic cancer and Environmental health.

Genome-wide association study is a subfield of Genetics that Daniel O. Stram studies. His work focuses on many connections between Breast cancer and other disciplines, such as Epidemiology, that overlap with his field of interest in Family history and Risk factor. He has researched Cancer in several fields, including Body mass index, Health equity, Lung cancer, Socioeconomic status and Physiology.

Between 2016 and 2021, his most popular works were:

  • Association analysis identifies 65 new breast cancer risk loci (569 citations)
  • Genetic analyses of diverse populations improves discovery for complex traits (209 citations)
  • Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis (188 citations)

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

  • Cancer
  • Internal medicine
  • Gene

Daniel O. Stram focuses on Genome-wide association study, Internal medicine, Confidence interval, Breast cancer and Oncology. He combines subjects such as Genetic architecture, Genetic association and Genomics with his study of Genome-wide association study. His Genetic association research entails a greater understanding of Genetics.

In his research on the topic of Internal medicine, Gastroenterology, Cohort study and Alcoholic liver disease is strongly related with Immunology. His work carried out in the field of Breast cancer brings together such families of science as Case-control study and Genotype. His study looks at the intersection of Relative risk and topics like Cancer with Lung cancer.

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

Treatment of High-Risk Neuroblastoma with Intensive Chemotherapy, Radiotherapy, Autologous Bone Marrow Transplantation, and 13-cis-Retinoic Acid

K K Matthay;J G Villablanca;R C Seeger;D O Stram.
The New England Journal of Medicine (1999)

2010 Citations

The International Neuroblastoma Pathology Classification (the Shimada system)

Hiroyuki Shimada M.D.;Inge M. Ambros;Louis P. Dehner;Jun-ichi Hata.
Cancer (1999)

1096 Citations

Large-scale genotyping identifies 41 new loci associated with breast cancer risk

Kyriaki Michailidou;Per Hall;Anna Gonzalez-Neira;Maya Ghoussaini.
Nature Genetics (2013)

1074 Citations

Variance components testing in the longitudinal mixed effects model.

Daniel O. Stram;Jae Won Lee.
Biometrics (1994)

1065 Citations

Effects of inhalable particles on respiratory health of children.

Douglas W. Dockery;Frank E. Speizer;Daniel O. Stram;James H. Ware.
The American review of respiratory disease (1989)

906 Citations

A Multiethnic Cohort in Hawaii and Los Angeles: Baseline Characteristics

Laurence N. Kolonel;Brian E. Henderson;Jean H. Hankin;Abraham M. Y. Nomura.
American Journal of Epidemiology (2000)

880 Citations

Multiple regions within 8q24 independently affect risk for prostate cancer.

Christopher A Haiman;Nick Patterson;Matthew L Freedman;Matthew L Freedman;Simon R Myers.
Nature Genetics (2007)

719 Citations

Association between air pollution and lung function growth in southern California children: results from a second cohort.

W. James Gauderman;W. James Gauderman;G. Frank Gilliland;G. Frank Gilliland;Hita Vora;Hita Vora;Edward Avol;Edward Avol.
American Journal of Respiratory and Critical Care Medicine (2002)

705 Citations

Association analysis identifies 65 new breast cancer risk loci

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

691 Citations

Ethnic and Racial Differences in the Smoking-Related Risk of Lung Cancer

Christopher A. Haiman;Daniel O. Stram;Lynne R. Wilkens;Malcolm C. Pike.
The New England Journal of Medicine (2006)

687 Citations

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