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 78 Citations 23,141 287 World Ranking 10815 National Ranking 5736

Overview

What is she best known for?

The fields of study she is best known for:

  • Internal medicine
  • Cancer
  • Breast cancer

Her primary areas of investigation include Breast cancer, Radiology, Mammography, Cancer and Biopsy. Her Breast cancer research is multidisciplinary, relying on both Carcinoma in situ, Oncology and Receiver operating characteristic. Her Radiology research incorporates elements of Malignancy, Nuclear medicine and Breast MRI.

The concepts of her Mammography study are interwoven with issues in Prospective cohort study, Cohort study and Mass screening. Her Cancer research includes themes of Gynecology and Obstetrics. Her biological study spans a wide range of topics, including Surgery, Disease and Primary breast cancer.

Her most cited work include:

  • American Cancer Society Guidelines for Breast Screening with MRI as an Adjunct to Mammography (1893 citations)
  • Screening for Breast Cancer (873 citations)
  • MRI evaluation of the contralateral breast in women with recently diagnosed breast cancer (737 citations)

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

Constance D. Lehman mainly investigates Breast cancer, Radiology, Mammography, Biopsy and Breast MRI. Constance D. Lehman interconnects Gynecology and Oncology in the investigation of issues within Breast cancer. Her research in Radiology is mostly concerned with Magnetic resonance imaging.

Constance D. Lehman combines subjects such as Medical physics, Family medicine and Obstetrics with her study of Mammography. Constance D. Lehman works mostly in the field of Biopsy, limiting it down to topics relating to Breast biopsy and, in certain cases, Vacuum-assisted breast biopsy. Her Cancer research incorporates themes from Disease and Mass screening.

She most often published in these fields:

  • Breast cancer (58.97%)
  • Radiology (59.88%)
  • Mammography (47.42%)

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

  • Breast cancer (58.97%)
  • Mammography (47.42%)
  • Radiology (59.88%)

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

The scientist’s investigation covers issues in Breast cancer, Mammography, Radiology, Cancer and Breast MRI. The various areas that Constance D. Lehman examines in her Breast cancer study include Obstetrics, Logistic regression, Odds ratio and Confidence interval. Her Mammography study combines topics from a wide range of disciplines, such as Cross-sectional study and Family medicine.

Her primary area of study in Radiology is in the field of Biopsy. The study incorporates disciplines such as Stage and Medical diagnosis in addition to Cancer. Her work is dedicated to discovering how Breast MRI, Magnetic resonance imaging are connected with Mastectomy and other disciplines.

Between 2018 and 2021, her most popular works were:

  • A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction (120 citations)
  • Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation (70 citations)
  • A Deep Learning Model to Triage Screening Mammograms: A Simulation Study. (37 citations)

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

  • Internal medicine
  • Cancer
  • Breast cancer

Her primary areas of study are Breast cancer, Radiology, Breast MRI, Mammography and Retrospective cohort study. Her Breast cancer research is under the purview of Cancer. Her Radiology research integrates issues from Ductal carcinoma, Cancer detection, Breast-conserving surgery and Digital Breast Tomosynthesis.

Her study in Breast MRI is interdisciplinary in nature, drawing from both Magnetic resonance imaging and Cancer risk. Her studies examine the connections between Mammography and genetics, as well as such issues in Family medicine, with regards to Screening mammography and Mammography screening. She combines subjects such as Biopsy, Nuclear medicine, Cohort and Confidence interval with her study of Retrospective cohort study.

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

American Cancer Society Guidelines for Breast Screening with MRI as an Adjunct to Mammography

Debbie Saslow;Carla Boetes;Wylie Burke;Steven Harms.
CA: A Cancer Journal for Clinicians (2007)

2884 Citations

Screening for Breast Cancer

Joann G. Elmore;Katrina Armstrong;Constance D. Lehman;Suzanne W. Fletcher.
JAMA (2005)

1048 Citations

MRI evaluation of the contralateral breast in women with recently diagnosed breast cancer

Constance D. Lehman;Constantine Gatsonis;Christiane K. Kuhl;R. Edward Hendrick.
The New England Journal of Medicine (2007)

966 Citations

Diagnostic architectural and dynamic features at breast MR imaging: Multicenter study

Mitchell D. Schnall;Jeffrey Blume;David A. Bluemke;Gia A. DeAngelis.
Radiology (2006)

604 Citations

Magnetic Resonance Imaging of the Breast Prior to Biopsy

David A. Bluemke;Constantine A. Gatsonis;Mei Hsiu Chen;Gia A. DeAngelis.
JAMA (2004)

592 Citations

Screening women at high risk for breast cancer with mammography and magnetic resonance imaging.

Constance D. Lehman;Jeffrey D. Blume;Paul Weatherall;David Thickman.
Cancer (2005)

459 Citations

Cancer yield of mammography, MR, and US in high-risk women: prospective multi-institution breast cancer screening study.

Constance D. Lehman;Claudine Isaacs;Mitchell D. Schnall;Etta D. Pisano.
Radiology (2007)

437 Citations

Pathologic Complete Response Predicts Recurrence-Free Survival More Effectively by Cancer Subset: Results From the I-SPY 1 TRIAL—CALGB 150007/150012, ACRIN 6657

Laura J. Esserman;Donald A. Berry;Angela DeMichele;Lisa Carey.
Journal of Clinical Oncology (2012)

384 Citations

Performance benchmarks for screening mammography.

Robert D. Rosenberg;Bonnie C. Yankaskas;Linn A. Abraham;Edward A. Sickles.
Radiology (2006)

358 Citations

Factors contributing to mammography failure in women aged 40-49 years

Diana S. M. Buist;Peggy L. Porter;Constance Lehman;Stephen H. Taplin.
Journal of the National Cancer Institute (2004)

354 Citations

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