Debra S. Copit

1.4k total citations · 1 hit paper
7 papers, 1.1k citations indexed

About

Debra S. Copit is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Oncology. According to data from OpenAlex, Debra S. Copit has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 5 papers in Artificial Intelligence and 4 papers in Oncology. Recurrent topics in Debra S. Copit's work include AI in cancer detection (5 papers), Digital Radiography and Breast Imaging (5 papers) and Global Cancer Incidence and Screening (3 papers). Debra S. Copit is often cited by papers focused on AI in cancer detection (5 papers), Digital Radiography and Breast Imaging (5 papers) and Global Cancer Incidence and Screening (3 papers). Debra S. Copit collaborates with scholars based in United States, Switzerland and Canada. Debra S. Copit's co-authors include Melissa A. Durand, Sarah M. Friedewald, Emily F. Conant, Donna Plecha, Elizabeth A. Rafferty, Dave P. Miller, Stephen L. Rose, Mary K. Hayes, Lora D. Barke and Thomas Cink and has published in prestigious journals such as JAMA, Cancer Research and Radiology.

In The Last Decade

Debra S. Copit

7 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Breast Cancer Screening Using Tomosynthesis in Combination With Digital Mammography

2014 603 citations Sarah M. Friedewald, Elizabeth A. Rafferty et al. JAMA profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Debra S. Copit United States	6	644	583	508	344	262	7	1.1k
Jaime Geisel United States	8	675 1.0×	461 0.8×	591 1.2×	475 1.4×	275 1.0×	10	1.1k
Paola Bricolo Italy	9	724 1.1×	398 0.7×	603 1.2×	376 1.1×	117 0.4×	10	913
Manuela Durando Italy	18	560 0.9×	570 1.0×	492 1.0×	247 0.7×	280 1.1×	32	1.1k
Melissa A. Durand United States	11	1.2k 1.9×	761 1.3×	1.0k 2.1×	543 1.6×	200 0.8×	18	1.5k
Francesca Caumo Italy	15	964 1.5×	653 1.1×	826 1.6×	540 1.6×	163 0.6×	49	1.4k
Jessica Torrente United States	9	265 0.4×	342 0.6×	279 0.5×	169 0.5×	260 1.0×	10	671
Jocelyn A. Rapelyea United States	16	463 0.7×	676 1.2×	320 0.6×	257 0.7×	494 1.9×	30	1.2k
Karin Leifland Sweden	19	437 0.7×	292 0.5×	413 0.8×	383 1.1×	309 1.2×	30	981
Madhavi Raghu United States	8	539 0.8×	375 0.6×	511 1.0×	221 0.6×	118 0.5×	13	740
Stefanie Weigel Germany	16	308 0.5×	438 0.8×	227 0.4×	388 1.1×	240 0.9×	52	985

Countries citing papers authored by Debra S. Copit

Since Specialization

Citations

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

Fields of papers citing papers by Debra S. Copit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debra S. Copit. 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 Debra S. Copit. The network helps show where Debra S. Copit may publish in the future.

Co-authorship network of co-authors of Debra S. Copit

This figure shows the co-authorship network connecting the top 25 collaborators of Debra S. Copit. A scholar is included among the top collaborators of Debra S. Copit 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 Debra S. Copit. Debra S. Copit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

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

2.

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

3.

Rafferty, Elizabeth A., Melissa A. Durand, Emily F. Conant, et al.. (2016). Breast Cancer Screening Using Tomosynthesis and Digital Mammography in Dense and Nondense Breasts. JAMA. 315(16). 1784–1784. 156 indexed citations

4.

Friedewald, Sarah M., Elizabeth A. Rafferty, Stephen L. Rose, et al.. (2014). Breast Cancer Screening Using Tomosynthesis in Combination With Digital Mammography. JAMA. 311(24). 2499–2499. 603 indexed citations breakdown →

5.

Maidment, Andrew D. A., et al.. (2011). OT2-05-04: ACRIN PA 4006: Comparison of Full-Field Digital Mammography with Digital Breast Tomosynthesis Image Acquisition in Relation to Screening Call-Back Rate.. Cancer Research. 71(24_Supplement). OT2–5. 1 indexed citations

6.

Evans, W. P., et al.. (1996). MR imaging in the management before surgery of lobular carcinoma of the breast: correlation with pathology.. American Journal of Roentgenology. 167(6). 1415–1419. 131 indexed citations

7.

Harms, S.E., et al.. (1996). Three-dimensional RODEO breast MR imaging of lesions containing ductal carcinoma in situ.. Radiology. 201(2). 427–432. 122 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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