Donna Plecha

3.8k total citations · 3 hit papers
49 papers, 2.6k citations indexed

About

Donna Plecha is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Donna Plecha has authored 49 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Oncology and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Donna Plecha's work include MRI in cancer diagnosis (13 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Global Cancer Incidence and Screening (11 papers). Donna Plecha is often cited by papers focused on MRI in cancer diagnosis (13 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Global Cancer Incidence and Screening (11 papers). Donna Plecha collaborates with scholars based in United States, China and Switzerland. Donna Plecha's co-authors include Hannah Gilmore, Anant Madabhushi, Maryam Etesami, Prateek Prasanna, Nathaniel Braman, Emily F. Conant, Sarah M. Friedewald, Debra S. Copit, Melissa A. Durand and Elizabeth A. Rafferty and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Nature Communications.

In The Last Decade

Donna Plecha

46 papers receiving 2.6k 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. profile →
Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI

2017 479 citations Nathaniel Braman, Maryam Etesami et al. Breast Cancer Research profile →
Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy forHER2 (ERBB2)–Positive Breast Cancer

2019 235 citations Nathaniel Braman, Prateek Prasanna et al. JAMA Network Open profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Donna Plecha United States	20	1.5k	879	863	765	422	49	2.6k
Enrico Cassano Italy	31	1.0k 0.7×	463 0.5×	499 0.6×	446 0.6×	820 1.9×	149	2.5k
M. Luke Marinovich Australia	25	998 0.7×	560 0.6×	1.0k 1.2×	467 0.6×	2.1k 5.1×	65	3.4k
Kathryn J. Fowler United States	41	2.3k 1.6×	972 1.1×	852 1.0×	162 0.2×	305 0.7×	226	6.5k
Harmine M. Zonderland Netherlands	18	876 0.6×	475 0.5×	575 0.7×	348 0.5×	607 1.4×	33	2.2k
D. David Dershaw United States	21	890 0.6×	882 1.0×	725 0.8×	305 0.4×	564 1.3×	41	2.4k
S.F. Sener United States	7	962 0.6×	737 0.8×	2.0k 2.3×	331 0.4×	797 1.9×	11	3.8k
Debra L. Monticciolo United States	22	866 0.6×	482 0.5×	1.4k 1.6×	427 0.6×	664 1.6×	51	2.6k
Bonnie N. Joe United States	31	1.9k 1.2×	804 0.9×	483 0.6×	452 0.6×	639 1.5×	170	3.4k
Tara M. Breslin United States	25	634 0.4×	364 0.4×	752 0.9×	44 0.1×	1.1k 2.6×	47	3.3k
W. Phil Evans United States	22	1.3k 0.8×	248 0.3×	809 0.9×	652 0.9×	1.5k 3.6×	35	3.4k

Countries citing papers authored by Donna Plecha

Since Specialization

Citations

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

Fields of papers citing papers by Donna Plecha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donna Plecha. 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 Donna Plecha. The network helps show where Donna Plecha may publish in the future.

Co-authorship network of co-authors of Donna Plecha

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

All Works

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20 of 20 papers shown

Ramaiya, Nikhil H., et al.. (2024). Women in academic radiology: Barriers and benefits of representation, mentorship, coaching, and advocacy. Current Problems in Diagnostic Radiology. 54(1). 108–114. 1 indexed citations

Durieux, Jared, et al.. (2023). Abbreviated Breast MRI: Our Two-Year Initial Experience. Journal of Breast Imaging. 5(3). 318–328. 1 indexed citations

Braman, Nathaniel, Prateek Prasanna, Kaustav Bera, et al.. (2022). Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers. Clinical Cancer Research. 28(20). 4410–4424. 19 indexed citations

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

Ramaiya, Nikhil H., Elias Kikano, Sree Harsha Tirumani, et al.. (2020). COVID-19 Pandemic Impact on Decreased Imaging Utilization: A Single Institutional Experience. Academic Radiology. 27(9). 1204–1213. 53 indexed citations

Braman, Nathaniel, Mohammed El Adoui, Manasa Vulchi, et al.. (2020). Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study.. Nature Communications. 2 indexed citations

Dietz, Jill R., Meena S. Moran, Steven J. Isakoff, et al.. (2020). Recommendations for prioritization, treatment, and triage of breast cancer patients during the COVID-19 pandemic. the COVID-19 pandemic breast cancer consortium. Breast Cancer Research and Treatment. 181(3). 487–497. 258 indexed citations

Ramaiya, Nikhil H., et al.. (2020). Quantifying the decrease in emergency department imaging utilization during the COVID-19 pandemic at a multicenter healthcare system in Ohio. Emergency Radiology. 27(6). 765–772. 8 indexed citations

Braman, Nathaniel, Prateek Prasanna, Jon Whitney, et al.. (2019). Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy forHER2 (ERBB2)–Positive Breast Cancer. JAMA Network Open. 2(4). e192561–e192561. 235 indexed citations breakdown →

10.

Partovi, Sasan, et al.. (2019). Fast MRI breast cancer screening – Ready for prime time. Clinical Imaging. 60(2). 160–168. 33 indexed citations

11.

Gore, Sarah, et al.. (2018). Clinical, imaging, and intervention factors associated with the upgrade of isolated flat epithelial atypia. Clinical Imaging. 54. 21–24. 9 indexed citations

12.

Braman, Nathaniel, Maryam Etesami, Prateek Prasanna, et al.. (2017). Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI. Breast Cancer Research. 19(1). 57–57. 479 indexed citations breakdown →

13.

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

14.

Plecha, Donna & Peter Faulhaber. (2017). PET/MRI of the breast. European Journal of Radiology. 94. A26–A34. 25 indexed citations

15.

Wan, Tao, B Bloch, Donna Plecha, et al.. (2016). A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores. Scientific Reports. 6(1). 21394–21394. 47 indexed citations

16.

Avril, Stefanie, Raymond F. Muzic, Donna Plecha, et al.. (2016). ¹⁸F-FDG PET/CT for Monitoring of Treatment Response in Breast Cancer. Journal of Nuclear Medicine. 57(Supplement 1). 34S–39S. 91 indexed citations

17.

Plecha, Donna, et al.. (2016). Comparing cancer detection rates of patients undergoing short term follow-up vs routine follow-up after benign breast biopsies, is follow-up needed?. Clinical Imaging. 42. 37–42. 5 indexed citations

18.

Plecha, Donna, et al.. (2014). Addition of Shear-Wave Elastography during Second-Look MR Imaging–directed Breast US: Effect on Lesion Detection and Biopsy Targeting. Radiology. 272(3). 657–664. 19 indexed citations

19.

Sher, Andrew C., Laia Valls, Raymond F. Muzic, Donna Plecha, & Norbert Avril. (2014). Whole-Body Positron Emission Tomography-Magnetic Resonance in Breast Cancer. Seminars in Roentgenology. 49(4). 313–320. 2 indexed citations

20.

Gazelle, G. Scott, J R Haaga, T A Stellato, Michael W.L. Gauderer, & Donna Plecha. (1991). Pelvic abscesses: CT-guided transrectal drainage.. Radiology. 181(1). 49–51. 37 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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