What is she best known for?
The fields of study she is best known for:
- Internal medicine
- Cancer
- Disease
Diana B. Petitti spends much of her time researching Gynecology, Estrogen, Internal medicine, Physical therapy and Obstetrics.
Her work deals with themes such as Breast cancer, Cohort study, Family medicine and Risk factor, which intersect with Gynecology.
Her research in Estrogen intersects with topics in Surgery, Relative risk, Menopause and Disease.
Her Relative risk research is multidisciplinary, incorporating perspectives in Discontinuation, Oncology, Lower risk, Endometrial cancer and Hormone replacement therapy.
Her research on Internal medicine frequently connects to adjacent areas such as Endocrinology.
Her work in Physical therapy addresses issues such as Stroke, which are connected to fields such as Case-control study, Family planning, Odds ratio, Myocardial infarction and Medical record.
Her most cited work include:
- Hormone Therapy To Prevent Disease and Prolong Life in Postmenopausal Women (2087 citations)
- Screening for Breast Cancer: US Preventive Services Task Force Recommendation Statement (1331 citations)
- Screening for breast cancer: U.S. preventive services task force recommendation statement (1009 citations)
What are the main themes of her work throughout her whole career to date?
Her main research concerns Internal medicine, Pediatrics, Obstetrics, Gynecology and Surgery.
She interconnects Endocrinology and Oncology in the investigation of issues within Internal medicine.
Her studies in Pediatrics integrate themes in fields like Odds ratio, Incidence and Medical record.
Diana B. Petitti performs multidisciplinary study on Gynecology and Statement in her works.
Her Surgery study integrates concerns from other disciplines, such as Disease and Myocardial infarction.
The study incorporates disciplines such as Stroke, Relative risk, Menopause and Risk factor in addition to Estrogen.
She most often published in these fields:
- Internal medicine (25.21%)
- Pediatrics (15.81%)
- Obstetrics (16.67%)
What were the highlights of her more recent work (between 2006-2017)?
- Task force (14.53%)
- Statement (8.97%)
- Family medicine (12.82%)
In recent papers she was focusing on the following fields of study:
Diana B. Petitti mainly investigates Task force, Statement, Family medicine, Pediatrics and Gynecology.
Her Family medicine research is multidisciplinary, relying on both Hepatitis B and Mammography.
Her studies deal with areas such as Diabetes mellitus, Intensivist, Intensive care and Family history as well as Pediatrics.
Her Gynecology study combines topics from a wide range of disciplines, such as Folic acid, Breast cancer and Childbearing age.
Her Breast cancer research includes themes of Primary prevention and Decision analysis.
The concepts of her Visual impairment study are interwoven with issues in Visual acuity, Early detection and Risk factor.
Between 2006 and 2017, her most popular works were:
- Screening for Breast Cancer: US Preventive Services Task Force Recommendation Statement (1331 citations)
- Screening for breast cancer: U.S. preventive services task force recommendation statement (1009 citations)
- Screening for breast cancer: U.S. preventive services task force recommendation statement (1009 citations)
In her most recent research, the most cited papers focused on:
- Internal medicine
- Cancer
- Disease
Her primary areas of investigation include Task force, Family medicine, Statement, Physical therapy and Gynecology.
Her Family medicine research incorporates themes from Chlamydia and Hepatitis B.
Her biological study spans a wide range of topics, including Alternative medicine, Aspirin, Myocardial infarction and Obstetrics.
Her Alternative medicine study incorporates themes from Colorectal cancer, Nonsteroidal, Scientific evidence and Chemoprophylaxis.
Diana B. Petitti has included themes like Systematic review, Adverse effect, Intensive care medicine, Stroke and Disease in her Aspirin study.
Her biological study deals with issues like Breast cancer, which deal with fields such as Decision analysis.
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