Lora D. Barke

2.2k total citations · 1 hit paper
30 papers, 1.6k citations indexed

About

Lora D. Barke is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Cancer Research. According to data from OpenAlex, Lora D. Barke has authored 30 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Oncology and 12 papers in Cancer Research. Recurrent topics in Lora D. Barke's work include Breast Cancer Treatment Studies (11 papers), Global Cancer Incidence and Screening (10 papers) and AI in cancer detection (6 papers). Lora D. Barke is often cited by papers focused on Breast Cancer Treatment Studies (11 papers), Global Cancer Incidence and Screening (10 papers) and AI in cancer detection (6 papers). Lora D. Barke collaborates with scholars based in United States, Switzerland and United Kingdom. Lora D. Barke's co-authors include Mary K. Hayes, Donna Plecha, Debra S. Copit, Stephen L. Rose, Melissa A. Durand, Emily F. Conant, Sarah M. Friedewald, Elizabeth A. Rafferty, Thomas Cink and Dave P. Miller and has published in prestigious journals such as JAMA, Radiology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Lora D. Barke

29 papers receiving 1.6k citations

Hit Papers

Breast Cancer Screening Using Tomosynthesis in Combinatio... 2014 2026 2018 2022 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lora D. Barke United States 17 710 673 600 571 364 30 1.6k
Stamatia Destounis United States 21 490 0.7× 759 1.1× 482 0.8× 494 0.9× 250 0.7× 78 1.6k
Jonathan J. James United Kingdom 23 636 0.9× 613 0.9× 522 0.9× 700 1.2× 532 1.5× 67 1.8k
Karin Leifland Sweden 19 437 0.6× 292 0.4× 413 0.7× 383 0.7× 273 0.8× 30 981
Phoebe E. Freer United States 18 483 0.7× 423 0.6× 431 0.7× 406 0.7× 375 1.0× 34 1.3k
Miri Sklair‐Levy Israel 19 286 0.4× 570 0.8× 230 0.4× 195 0.3× 299 0.8× 67 1.4k
R. Schulz-Wendtland Germany 16 381 0.5× 423 0.6× 276 0.5× 357 0.6× 434 1.2× 65 1.2k
Handel Reynolds United States 16 172 0.2× 495 0.7× 331 0.6× 296 0.5× 495 1.4× 34 1.5k
Vandana Dialani United States 21 348 0.5× 550 0.8× 251 0.4× 220 0.4× 354 1.0× 66 1.3k
Cherie M. Kuzmiak United States 19 337 0.5× 495 0.7× 311 0.5× 278 0.5× 179 0.5× 83 1.1k
Peter M. Jokich United States 14 209 0.3× 365 0.5× 358 0.6× 326 0.6× 372 1.0× 20 1.1k

Countries citing papers authored by Lora D. Barke

Since Specialization
Citations

This map shows the geographic impact of Lora D. Barke'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 Lora D. Barke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lora D. Barke more than expected).

Fields of papers citing papers by Lora D. Barke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lora D. Barke. 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 Lora D. Barke. The network helps show where Lora D. Barke may publish in the future.

Co-authorship network of co-authors of Lora D. Barke

This figure shows the co-authorship network connecting the top 25 collaborators of Lora D. Barke. A scholar is included among the top collaborators of Lora D. Barke 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 Lora D. Barke. Lora D. Barke 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
2.
3.
Durand, Melissa A., Sarah M. Friedewald, Donna Plecha, et al.. (2020). False-Negative Rates of Breast Cancer Screening with and without Digital Breast Tomosynthesis. Radiology. 298(2). 296–305. 29 indexed citations
4.
Neuschler, Erin, Philip T. Lavin, F. Lee Tucker, et al.. (2018). Downgrading and Upgrading Gray-Scale Ultrasound BI-RADS Categories of Benign and Malignant Masses With Optoacoustics: A Pilot Study. American Journal of Roentgenology. 211(3). 689–700. 28 indexed citations
5.
Rafferty, Elizabeth A., Stephen L. Rose, Dave P. Miller, et al.. (2017). Effect of age on breast cancer screening using tomosynthesis in combination with digital mammography. Breast Cancer Research and Treatment. 164(3). 659–666. 17 indexed citations
6.
Neuschler, Erin, Reni Butler, Catherine A. Young, et al.. (2017). A Pivotal Study of Optoacoustic Imaging to Diagnose Benign and Malignant Breast Masses: A New Evaluation Tool for Radiologists. Radiology. 287(2). 398–412. 143 indexed citations
7.
Barke, Lora D., et al.. (2017). Breast Cancer Risk Assessment Models and High-Risk Screening. Radiologic Clinics of North America. 55(3). 457–474. 23 indexed citations
8.
Stavros, A. Thomas, et al.. (2017). Ultrasound positive predictive values by BI-RADS categories 3–5 for solid masses: An independent reader study. European Radiology. 27(10). 4307–4315. 19 indexed citations
9.
Harvey, Jennifer A., Mary C. Mahoney, Mary S. Newell, et al.. (2016). ACR Appropriateness Criteria Palpable Breast Masses. Journal of the American College of Radiology. 13(11). e31–e42. 24 indexed citations
10.
Mainiero, Martha B., Ana P. Lourenço, Mary C. Mahoney, et al.. (2016). ACR Appropriateness Criteria Breast Cancer Screening. Journal of the American College of Radiology. 13(11). R45–R49. 69 indexed citations
11.
Moy, Linda, Mary S. Newell, Mary C. Mahoney, et al.. (2016). ACR Appropriateness Criteria Stage I Breast Cancer: Initial Workup and Surveillance for Local Recurrence and Distant Metastases in Asymptomatic Women. Journal of the American College of Radiology. 13(11). e43–e52. 11 indexed citations
12.
Mainiero, Martha B., Ana P. Lourenço, Lora D. Barke, et al.. (2015). ACR Appropriateness Criteria Evaluation of the Symptomatic Male Breast. Journal of the American College of Radiology. 12(7). 678–682. 52 indexed citations
13.
Lei, R.Y., Charles E. Leonard, Timothy K. Johnson, et al.. (2014). External Beam Accelerated Partial Breast Irradiation Yields Favorable Outcomes in Patients with Prior Breast Augmentation. Frontiers in Oncology. 4. 154–154. 9 indexed citations
14.
Moy, Linda, Mary S. Newell, Mary C. Mahoney, et al.. (2014). ACR Appropriateness Criteria Stage I Breast Cancer: Initial Workup and Surveillance for Local Recurrence and Distant Metastases in Asymptomatic Women. Journal of the American College of Radiology. 11(12). 1160–1168. 33 indexed citations
15.
Harvey, Jennifer A., Mary C. Mahoney, Mary S. Newell, et al.. (2013). ACR Appropriateness Criteria Palpable Breast Masses. Journal of the American College of Radiology. 10(10). 742–749.e3. 65 indexed citations
16.
Huynh, Phan T., Mary C. Mahoney, Mary S. Newell, et al.. (2012). ACR Appropriateness Criteria® Stage I Breast Carcinoma. Journal of the American College of Radiology. 9(7). 463–467. 4 indexed citations
17.
Leonard, Charles E., et al.. (2011). Accelerated Partial Breast Intensity-Modulated Radiotherapy in Women Who Have Prior Breast Augmentation. Clinical Breast Cancer. 11(3). 184–190. 3 indexed citations
18.
Brinton, John T., et al.. (2011). Breast Cancer Risk Assessment in 64,659 Women at a Single High-Volume Mammography Clinic. Academic Radiology. 19(1). 95–99. 21 indexed citations
19.
Hwang, Helena, Lora D. Barke, Ellen B. Mendelson, & Barbara Susnik. (2008). Atypical lobular hyperplasia and classic lobular carcinoma in situ in core biopsy specimens: routine excision is not necessary. Modern Pathology. 21(10). 1208–1216. 88 indexed citations
20.
Barke, Lora D., et al.. (1997). A successful use of cranial-sacral osteopathy in the treatment of post-traumatic headache following subarachnoid hemorrhage. 1 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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