D-Index & Metrics Best Publications

D-Index & Metrics

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 88 Citations 27,849 508 World Ranking 6491 National Ranking 3586

Overview

What is she best known for?

The fields of study she is best known for:

  • Cancer
  • Internal medicine
  • Breast cancer

Her primary areas of study are Breast cancer, Internal medicine, Oncology, Cancer and Prospective cohort study. Rulla M. Tamimi has included themes like Gynecology and Genome-wide association study in her Breast cancer study. Her Endocrinology research extends to the thematically linked field of Internal medicine.

Rulla M. Tamimi has researched Oncology in several fields, including Proportional hazards model, Logistic regression, Tissue microarray and Pathology. Her studies in Cancer integrate themes in fields like Multivariate analysis and Transcription factor. Her Prospective cohort study study integrates concerns from other disciplines, such as Young adult, Body mass index, Cohort study and Obstetrics.

Her most cited work include:

  • Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study. (695 citations)
  • Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores (683 citations)
  • Association analysis identifies 65 new breast cancer risk loci (661 citations)

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

Rulla M. Tamimi focuses on Breast cancer, Internal medicine, Oncology, Cancer and Prospective cohort study. The concepts of her Breast cancer study are interwoven with issues in Odds ratio, Gynecology and Confidence interval. Internal medicine is closely attributed to Endocrinology in her work.

Her Oncology study combines topics in areas such as Body mass index, Nurses' Health Study, Epidemiology, Logistic regression and Mammography. Her study looks at the intersection of Prospective cohort study and topics like Cohort study with Cohort. Her research in Estrogen receptor intersects with topics in Genome-wide association study, Tissue microarray and Androgen receptor.

She most often published in these fields:

  • Breast cancer (126.89%)
  • Internal medicine (96.78%)
  • Oncology (76.47%)

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

  • Breast cancer (126.89%)
  • Internal medicine (96.78%)
  • Oncology (76.47%)

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

Rulla M. Tamimi mainly investigates Breast cancer, Internal medicine, Oncology, Prospective cohort study and Confidence interval. The subject of her Breast cancer research is within the realm of Cancer. Her study in the fields of Surgical oncology under the domain of Oncology overlaps with other disciplines such as Risk assessment.

Her Prospective cohort study research integrates issues from Overweight, Obesity, Young adult, Stage and Orange juice. Her studies examine the connections between Confidence interval and genetics, as well as such issues in Confounding, with regards to Anthropometry. Her studies deal with areas such as Genome-wide association study and Cohort as well as Epidemiology.

Between 2019 and 2021, her most popular works were:

  • Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study. (695 citations)
  • A Population-Based Study of Genes Previously Implicated in Breast Cancer (61 citations)
  • Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses (53 citations)

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

  • Cancer
  • Internal medicine
  • Gene

Her main research concerns Breast cancer, Internal medicine, Oncology, Prospective cohort study and Confidence interval. Rulla M. Tamimi is studying Estrogen receptor, which is a component of Breast cancer. Her Oncology research incorporates elements of Polygenic risk score and Postprandial, Insulin.

Her biological study spans a wide range of topics, including Stage, Medical record, Node negative and Environmental health. Her Confidence interval research includes themes of Menopausal hormone therapy and Confounding. Her Odds ratio research focuses on subjects like Case-control study, which are linked to Genetic variation, Gene, Estrogen Receptor Status and Family history.

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

Associations of Breast Cancer Risk Factors With Tumor Subtypes: A Pooled Analysis From the Breast Cancer Association Consortium Studies

Xiaohong R. Yang;Jenny Chang-Claude;Ellen L. Goode;Fergus J. Couch.
Journal of the National Cancer Institute (2011)

781 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

Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study.

Nicole M. Kuderer;Toni K. Choueiri;Dimpy P. Shah;Yu Shyr.
The Lancet (2020)

613 Citations

HSF1 Drives a Transcriptional Program Distinct from Heat Shock to Support Highly Malignant Human Cancers

Marc L. Mendillo;Sandro Santagata;Sandro Santagata;Martina Koeva;George W. Bell.
Cell (2012)

557 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)

496 Citations

Prediction of Breast Cancer Risk Based on Profiling With Common Genetic Variants

Nasim Mavaddat;Paul D.P. Pharoah;Kyriaki Michailidou;Jonathan Tyrer.
Journal of the National Cancer Institute (2015)

459 Citations

Heterogeneity of Breast Cancer Associations with Five Susceptibility Loci by Clinical and Pathological Characteristics

Montserrat Garcia-Closas;Per Hall;Heli Nevanlinna;Karen Pooley.
PLOS Genetics (2008)

441 Citations

The Adaptor Protein Paxillin Is Essential for Normal Development in the Mouse and Is a Critical Transducer of Fibronectin Signaling

Margit Hagel;Elizabeth L. George;Ann Kim;Rulla Tamimi.
Molecular and Cellular Biology (2002)

390 Citations

Androgen Receptor Expression and Breast Cancer Survival in Postmenopausal Women

Rong Hu;Shaheenah Dawood;Michelle D. Holmes;Laura C. Collins.
Clinical Cancer Research (2011)

382 Citations

Comparison of molecular phenotypes of ductal carcinoma in situ and invasive breast cancer.

Rulla May Tamimi;Rulla May Tamimi;Heather Joanne Baer;Heather Joanne Baer;Jonathan Marotti;Mark Galan.
Breast Cancer Research (2008)

382 Citations

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