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 79 Citations 22,723 302 World Ranking 12376 National Ranking 6458

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Mammography
  • Cancer

His primary areas of investigation include Mammography, Radiology, Breast cancer, Gynecology and Cancer. His research in Mammography intersects with topics in Stage and Mammary gland. His biological study spans a wide range of topics, including Malignancy, Abnormality and Confidence interval.

His Breast cancer research incorporates themes from Carcinoma in situ, Predictive value of tests and Family history. His Gynecology research is multidisciplinary, incorporating perspectives in Medical physics, Mass screening, Breast screening and Obstetrics. His Cancer study integrates concerns from other disciplines, such as Predictive value, Surgery, Nuclear medicine and Pharyngitis.

His most cited work include:

  • Effect of Age, Breast Density, and Family History on the Sensitivity of First Screening Mammography (556 citations)
  • Breast Cancer Screening With Imaging: Recommendations From the Society of Breast Imaging and the ACR on the Use of Mammography, Breast MRI, Breast Ultrasound, and Other Technologies for the Detection of Clinically Occult Breast Cancer (521 citations)
  • Potential Contribution of Computer-aided Detection to the Sensitivity of Screening Mammography (515 citations)

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

His primary areas of study are Mammography, Radiology, Breast cancer, Gynecology and Medical physics. His studies deal with areas such as Obstetrics and Mass screening as well as Mammography. The concepts of his Radiology study are interwoven with issues in Diagnostic Mammography, Malignancy and Surgery.

Edward A. Sickles combines subjects such as Family history and Oncology with his study of Breast cancer. His studies link Mammary gland with Gynecology. His research investigates the link between Xeroradiography and topics such as Dentistry that cross with problems in Orthodontics.

He most often published in these fields:

  • Mammography (60.06%)
  • Radiology (38.64%)
  • Breast cancer (24.68%)

What were the highlights of his more recent work (between 2010-2020)?

  • Mammography (60.06%)
  • Breast cancer (24.68%)
  • Radiology (38.64%)

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

Edward A. Sickles spends much of his time researching Mammography, Breast cancer, Radiology, Medical physics and Screening mammography. His Mammography research is multidisciplinary, incorporating elements of Biopsy, Gynecology and Mass screening. The Breast cancer study combines topics in areas such as Oncology and Obstetrics.

His research integrates issues of BI-RADS, Breast MRI, Malignancy and Digital mammography in his study of Radiology. The study incorporates disciplines such as Risk stratification and Pathology in addition to Medical physics. Edward A. Sickles interconnects Database, Cancer detection, Predictive value of tests, Recall rate and Predictive value in the investigation of issues within Screening mammography.

Between 2010 and 2020, his most popular works were:

  • Comparative Effectiveness of Digital Versus Film-Screen Mammography in Community Practice in the United States: A Cohort Study (189 citations)
  • Breast Cancer Screening in Women at Higher-Than-Average Risk: Recommendations From the ACR (169 citations)
  • Accuracy and outcomes of screening mammography in women with a personal history of early-stage breast cancer. (103 citations)

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

Effect of Age, Breast Density, and Family History on the Sensitivity of First Screening Mammography

Karla Kerlikowske;Deborah Grady;John Barclay;Edward A. Sickles.
JAMA (1996)

879 Citations

Breast Cancer Screening With Imaging: Recommendations From the Society of Breast Imaging and the ACR on the Use of Mammography, Breast MRI, Breast Ultrasound, and Other Technologies for the Detection of Clinically Occult Breast Cancer

Carol H. Lee;D. David Dershaw;Daniel Kopans;Phil Evans.
Journal of The American College of Radiology (2010)

878 Citations

Potential contribution of computer-aided detection to the sensitivity of screening mammography.

Linda J. Warren Burhenne;Susan A. Wood;Carl J. D'Orsi;Stephen A. Feig.
Radiology (2000)

810 Citations

Periodic mammographic follow-up of probably benign lesions: results in 3,184 consecutive cases.

E A Sickles.
Radiology (1991)

706 Citations

Influence of computer-aided detection on performance of screening mammography.

Joshua J. Fenton;Stephen H. Taplin;Patricia A. Carney;Linn Abraham.
The New England Journal of Medicine (2007)

629 Citations

Mammographic Characteristics of 115 Missed Cancers Later Detected with Screening Mammography and the Potential Utility of Computer-aided Detection

Robyn L. Birdwell;Debra M. Ikeda;Kathryn F. O’Shaughnessy;Edward A. Sickles.
Radiology (2001)

550 Citations

Positive Predictive Value of Screening Mammography by Age and Family History of Breast Cancer

Karla Kerlikowske;Deborah Grady;John Barclay;Edward A. Sickles.
JAMA (1993)

509 Citations

Utility of magnetic resonance imaging in the management of breast cancer: evidence for improved preoperative staging.

Laura Esserman;Nola Hylton;Leila Yassa;John Barclay.
Journal of Clinical Oncology (1999)

504 Citations

Clinical presentation of infection in granulocytopenic patients.

Edward A. Sickles;William H. Greene;Peter H. Wiernik.
JAMA Internal Medicine (1975)

501 Citations

Breast Cancer Screening in Women at Higher-Than-Average Risk: Recommendations From the ACR

Debra L. Monticciolo;Mary S. Newell;Linda Moy;Bethany Niell.
Journal of The American College of Radiology (2018)

424 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Edward A. Sickles

Karla Kerlikowske

Karla Kerlikowske

University of California, San Francisco

Publications: 147

Diana L. Miglioretti

Diana L. Miglioretti

University of California, Davis

Publications: 143

Constance D. Lehman

Constance D. Lehman

Harvard University

Publications: 92

Bin Zheng

Bin Zheng

University of Oklahoma

Publications: 74

Joann G. Elmore

Joann G. Elmore

University of California, Los Angeles

Publications: 67

Daniel B. Kopans

Daniel B. Kopans

Harvard University

Publications: 67

Diana S. M. Buist

Diana S. M. Buist

Kaiser Permanente

Publications: 65

Elizabeth A. Morris

Elizabeth A. Morris

Memorial Sloan Kettering Cancer Center

Publications: 62

Stephen H. Taplin

Stephen H. Taplin

National Institutes of Health

Publications: 57

Mark A. Helvie

Mark A. Helvie

University of Michigan–Ann Arbor

Publications: 55

Woo Kyung Moon

Woo Kyung Moon

Seoul National University Hospital

Publications: 49

Anthony B. Miller

Anthony B. Miller

University of Toronto

Publications: 46

Maryellen L. Giger

Maryellen L. Giger

University of Chicago

Publications: 43

Eun-Kyung Kim

Eun-Kyung Kim

Yonsei University

Publications: 43

Laura J. Esserman

Laura J. Esserman

University of California, San Francisco

Publications: 41

Heang Ping Chan

Heang Ping Chan

University of Michigan–Ann Arbor

Publications: 41

Trending Scientists

Jian-Feng Li

Jian-Feng Li

Xiamen University

Qing-Xiang Guo

Qing-Xiang Guo

University of Science and Technology of China

Albrecht Seidel

Albrecht Seidel

Johannes Gutenberg University of Mainz

Hajime Yasuda

Hajime Yasuda

Hiroshima University

Jing Lu

Jing Lu

Peking University

Hiroshi Katayama-Yoshida

Hiroshi Katayama-Yoshida

University of Tokyo

Thaddeus P. Dryja

Thaddeus P. Dryja

Massachusetts Eye and Ear Infirmary

Toshihiro Tanaka

Toshihiro Tanaka

Tokyo Medical and Dental University

Sovan Lek

Sovan Lek

Paul Sabatier University

Paolo Rovero

Paolo Rovero

University of Florence

Celia A. Schiffer

Celia A. Schiffer

University of Massachusetts Medical School

Beverly Wendland

Beverly Wendland

Johns Hopkins University

Igor Esau

Igor Esau

Bjerknes Centre for Climate Research

N. Franklin Adkinson

N. Franklin Adkinson

Johns Hopkins University

Tom F. Lue

Tom F. Lue

University of California, San Francisco

Michael S. Kramer

Michael S. Kramer

McGill University

Something went wrong. Please try again later.