Wendie A. Berg

14.6k total citations · 5 hit papers
144 papers, 10.2k citations indexed

About

Wendie A. Berg is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Wendie A. Berg has authored 144 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Pathology and Forensic Medicine, 61 papers in Radiology, Nuclear Medicine and Imaging and 52 papers in Cancer Research. Recurrent topics in Wendie A. Berg's work include Breast Lesions and Carcinomas (80 papers), Breast Cancer Treatment Studies (52 papers) and AI in cancer detection (38 papers). Wendie A. Berg is often cited by papers focused on Breast Lesions and Carcinomas (80 papers), Breast Cancer Treatment Studies (52 papers) and AI in cancer detection (38 papers). Wendie A. Berg collaborates with scholars based in United States, China and United Kingdom. Wendie A. Berg's co-authors include C Campassi, Ellen B. Mendelson, Mary Sexton, Patricia Langenberg, Olga B. Ioffe, Rebecca S. Lewis, Mythreyi Bhargavan, Moriel NessAiver, L Junquera Gutierrez and Deepa Narayanan and has published in prestigious journals such as The Lancet, JAMA and JNCI Journal of the National Cancer Institute.

In The Last Decade

Wendie A. Berg

140 papers receiving 9.9k citations

Hit Papers

Combined Screening With U... 2000 2026 2008 2017 2008 2004 2000 2012 2010 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wendie A. Berg United States 48 5.3k 4.0k 2.9k 2.7k 2.3k 144 10.2k
Constance D. Lehman United States 67 9.4k 1.8× 4.7k 1.2× 3.8k 1.3× 4.1k 1.5× 3.2k 1.4× 284 16.4k
Daniel B. Kopans United States 51 4.5k 0.8× 1.7k 0.4× 2.3k 0.8× 1.7k 0.6× 2.7k 1.1× 211 8.9k
Lawrence W. Bassett United States 42 2.9k 0.5× 2.4k 0.6× 2.3k 0.8× 2.3k 0.8× 2.5k 1.1× 145 8.4k
Mark A. Helvie United States 58 4.8k 0.9× 1.9k 0.5× 4.9k 1.7× 1.8k 0.7× 2.5k 1.1× 246 9.8k
Jung Min Chang South Korea 42 3.6k 0.7× 1.4k 0.3× 1.3k 0.4× 1.3k 0.5× 1.1k 0.5× 182 5.6k
Emily F. Conant United States 52 4.6k 0.9× 1.5k 0.4× 4.8k 1.6× 1.7k 0.6× 5.0k 2.1× 226 10.4k
Wei Yang United States 54 2.9k 0.5× 3.9k 1.0× 610 0.2× 4.9k 1.8× 1.5k 0.7× 308 10.2k
Laura Liberman United States 60 5.1k 1.0× 7.8k 1.9× 2.4k 0.8× 5.3k 1.9× 1.1k 0.5× 126 11.5k
Stefano Ciatto Italy 52 2.6k 0.5× 3.7k 0.9× 2.4k 0.8× 3.7k 1.4× 3.7k 1.6× 332 10.7k
Ellen B. Mendelson United States 30 2.1k 0.4× 1.6k 0.4× 1.3k 0.4× 1.0k 0.4× 690 0.3× 94 4.2k

Countries citing papers authored by Wendie A. Berg

Since Specialization
Citations

This map shows the geographic impact of Wendie A. Berg's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wendie A. Berg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wendie A. Berg more than expected).

Fields of papers citing papers by Wendie A. Berg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wendie A. Berg. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wendie A. Berg. The network helps show where Wendie A. Berg may publish in the future.

Co-authorship network of co-authors of Wendie A. Berg

This figure shows the co-authorship network connecting the top 25 collaborators of Wendie A. Berg. A scholar is included among the top collaborators of Wendie A. Berg based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wendie A. Berg. Wendie A. Berg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Berg, Wendie A., et al.. (2025). Contrast-Enhanced Mammography–Guided Biopsy: A Step-by-Step Guide. American Journal of Roentgenology. 225(4). e2533038–e2533038.
2.
Berg, Wendie A., Amy Lu, Jeremy M Berg, et al.. (2025). Screening for Breast Cancer with Contrast-enhanced Mammography as an Alternative to MRI: SCEMAM Trial Results. Radiology. 315(3). e242634–e242634. 1 indexed citations
3.
Arefan, Dooman, et al.. (2024). Assessment of Background Parenchymal Enhancement at Dynamic Contrast-enhanced MRI in Predicting Breast Cancer Recurrence Risk. Radiology. 310(1). e230269–e230269. 4 indexed citations
4.
Berg, Wendie A., et al.. (2024). Unknown Case: Enlarging Intramammary Lymph Node. Journal of Breast Imaging. 6(1). 102–105.
5.
Berg, Wendie A., Jeremy M Berg, Andriy I. Bandos, et al.. (2024). Addition of Contrast-enhanced Mammography to Tomosynthesis for Breast Cancer Detection in Women with a Personal History of Breast Cancer: Prospective TOCEM Trial Interim Analysis. Radiology. 311(1). e231991–e231991. 12 indexed citations
6.
Arefan, Dooman, Marie A. Ganott, Amy E. Kelly, et al.. (2023). Contrast-enhanced Mammography-guided Biopsy: Initial Trial and Experience. Journal of Breast Imaging. 5(2). 148–158. 12 indexed citations
8.
9.
Berg, Wendie A., et al.. (2023). Toward AI-supported US Triage of Women with Palpable Breast Lumps in a Low-Resource Setting. Radiology. 307(4). e223351–e223351. 17 indexed citations
10.
Carter, Gloria J, et al.. (2023). Diabetic Fibrous Mastopathy: Imaging Features With Histopathologic Correlation. Journal of Breast Imaging. 5(5). 585–590. 1 indexed citations
11.
Lee, Cindy, Jeremy M Berg, & Wendie A. Berg. (2021). Cancer Yield Exceeds 2% for BI-RADS 3 Probably Benign Findings in Women Older Than 60 Years in the National Mammography Database. Radiology. 299(3). 550–558. 13 indexed citations
12.
Berg, Wendie A., Jeremy M Berg, Edward A. Sickles, et al.. (2020). Cancer Yield and Patterns of Follow-up for BI-RADS Category 3 after Screening Mammography Recall in the National Mammography Database. Radiology. 296(1). 32–41. 48 indexed citations
13.
Sumkin, Jules H., Wendie A. Berg, Gloria J Carter, et al.. (2019). Diagnostic Performance of MRI, Molecular Breast Imaging, and Contrast-enhanced Mammography in Women with Newly Diagnosed Breast Cancer. Radiology. 293(3). 531–540. 67 indexed citations
14.
Narayanan, Deepa & Wendie A. Berg. (2018). Use of Breast-Specific PET Scanners and Comparison with MR Imaging. Magnetic Resonance Imaging Clinics of North America. 26(2). 265–272. 12 indexed citations
15.
Vourtsis, Athina & Wendie A. Berg. (2018). Breast density implications and supplemental screening. European Radiology. 29(4). 1762–1777. 126 indexed citations
16.
Mohamed, Aly A., et al.. (2018). Deep Learning to Distinguish Recalled but Benign Mammography Images in Breast Cancer Screening. Clinical Cancer Research. 24(23). 5902–5909. 96 indexed citations
17.
Berg, Wendie A., Andriy I. Bandos, Ellen B. Mendelson, et al.. (2015). Ultrasound as the Primary Screening Test for Breast Cancer: Analysis From ACRIN 6666. JNCI Journal of the National Cancer Institute. 108(4). djv367–djv367. 220 indexed citations
18.
Gill, Harmindar K., Olga B. Ioffe, & Wendie A. Berg. (2003). When Is a Diagnosis of Sclerosing Adenosis Acceptable at Core Biopsy?. Radiology. 228(1). 50–57. 40 indexed citations
19.
Berg, Wendie A., et al.. (1998). Treatment issues and core needle breast biopsy: clinical context.. American Journal of Roentgenology. 171(1). 41–49. 15 indexed citations
20.
Berg, Wendie A., Bowen Chang, M. Robert DeJong, & Ulrike M. Hamper. (1994). Color Doppler flow mapping of abdominal wall perforating arteries for transverse rectus abdominis myocutaneous flap in breast reconstruction: method and preliminary results.. Radiology. 192(2). 447–450. 13 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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