Erica Pollack

911 total citations
20 papers, 562 citations indexed

About

Erica Pollack is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Erica Pollack has authored 20 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 8 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Epidemiology. Recurrent topics in Erica Pollack's work include Global Cancer Incidence and Screening (10 papers), AI in cancer detection (4 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). Erica Pollack is often cited by papers focused on Global Cancer Incidence and Screening (10 papers), AI in cancer detection (4 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). Erica Pollack collaborates with scholars based in United States, Peru and Spain. Erica Pollack's co-authors include Meng Law, James S. Babb, Robert J. Young, Glyn Johnson, Daniel J. Mollura, Lisa A. Mullen, Delaram Shakoor, Anne F. Rositch, Emily B. Ambinder and Susan C. Harvey and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and American Journal of Neuroradiology.

In The Last Decade

Erica Pollack

18 papers receiving 556 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erica Pollack United States 8 355 119 106 84 71 20 562
Ramón Correa United States 11 372 1.0× 198 1.7× 93 0.9× 56 0.7× 110 1.5× 30 526
Margaret Pain United States 15 203 0.6× 91 0.8× 147 1.4× 83 1.0× 71 1.0× 31 800
Khashayar Namdar Canada 10 280 0.8× 86 0.7× 81 0.8× 49 0.6× 109 1.5× 26 470
Tafadzwa L. Chaunzwa United States 10 428 1.2× 30 0.3× 175 1.7× 95 1.1× 379 5.3× 21 827
Anurag Saraf United States 11 108 0.3× 32 0.3× 50 0.5× 132 1.6× 97 1.4× 37 394
Nathaniel Swinburne United States 10 223 0.6× 58 0.5× 113 1.1× 27 0.3× 114 1.6× 18 512
Yong Sub Song South Korea 13 440 1.2× 108 0.9× 33 0.3× 47 0.6× 295 4.2× 19 627
Simon Keek Netherlands 8 390 1.1× 20 0.2× 102 1.0× 70 0.8× 138 1.9× 12 497
Faiq Shaikh United States 11 152 0.4× 23 0.2× 39 0.4× 49 0.6× 63 0.9× 32 337

Countries citing papers authored by Erica Pollack

Since Specialization
Citations

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

Fields of papers citing papers by Erica Pollack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erica Pollack

This figure shows the co-authorship network connecting the top 25 collaborators of Erica Pollack. A scholar is included among the top collaborators of Erica Pollack 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 Erica Pollack. Erica Pollack 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.
Anton, Kevin, Farouk Dako, Robert G. Dixon, et al.. (2024). Building Radiology Equity: Themes from the 2023 RAD-AID Conference on International Radiology and Global Health. Journal of the American College of Radiology. 21(8). 1194–1200. 4 indexed citations
2.
Paul, Kiran, Sharon B. Sams, Erica Pollack, et al.. (2024). Obesity-driven changes in breast tissue exhibit a pro-angiogenic extracellular matrix signature. SHILAP Revista de lepidopterología. 24. 100162–100162.
3.
Stein, Joel M., Victoria L. Mango, Joseph Weygand, et al.. (2023). MRI scarcity in low‐ and middle‐income countries. NMR in Biomedicine. 36(12). e5022–e5022. 27 indexed citations
4.
Matsumoto, Monica M., et al.. (2022). Radiology volunteers to support a breast cancer screening program in Peru: Description of the project, preliminary results, and impressions. Radiología (English Edition). 64(3). 256–265. 2 indexed citations
5.
Pollack, Erica, Melissa A. Durand, Ameena Elahi, et al.. (2022). Developing Breast Imaging Services in Low-Resource Settings. Applied Radiology. 28–32. 3 indexed citations
6.
Pollack, Erica, et al.. (2021). Breast Imaging in Special Populations: Indications and Findings in Pregnant and Lactating, Male, and Transgender Patients. Current Breast Cancer Reports. 13(4). 268–281. 1 indexed citations
7.
Alsheik, Nila, Qiong Qiu, Scott Pohlman, et al.. (2021). Outcomes by Race in Breast Cancer Screening With Digital Breast Tomosynthesis Versus Digital Mammography. Journal of the American College of Radiology. 18(7). 906–918. 29 indexed citations
9.
Matsumoto, Monica M., Tatiana Vidaurre, Jorge Dunstan, et al.. (2020). Earlier Breast Cancer Detection in Peru: Establishing a Comprehensive Program in an Underserved Region. Journal of the American College of Radiology. 17(11). 1520–1524. 5 indexed citations
10.
Mollura, Daniel J., Melissa P. Culp, Erica Pollack, et al.. (2020). Artificial Intelligence in Low- and Middle-Income Countries: Innovating Global Health Radiology. Radiology. 297(3). 513–520. 112 indexed citations
11.
Pollack, Erica, et al.. (2020). A Global Perspective on Screening. Journal of Breast Imaging. 2(4). 296–303. 1 indexed citations
12.
Pollack, Erica, et al.. (2020). Breast Imaging in Global Health: Serving the Underserved. Current Radiology Reports. 8(5). 2 indexed citations
13.
Sood, Rupali, Anne F. Rositch, Delaram Shakoor, et al.. (2019). Handheld Ultrasound for Breast Cancer Detection in Low-Resource Settings: A Systematic Review and Meta-Analysis. SSRN Electronic Journal. 2 indexed citations
14.
Sood, Rupali, Anne F. Rositch, Delaram Shakoor, et al.. (2019). Ultrasound for Breast Cancer Detection Globally: A Systematic Review and Meta-Analysis. Journal of Global Oncology. 5(5). 1–17. 158 indexed citations
15.
Sood, Rupali, Anne F. Rositch, Emily B. Ambinder, et al.. (2018). Ultrasound for Breast Cancer Detection in Low-Resource Settings: Systematic Review and Meta-Analysis. Journal of Global Oncology. 4(Supplement 3). 43s–43s. 3 indexed citations
16.
Pollack, Erica, et al.. (2007). Differentiating Intracranial Aspergillosis from a High Grade Glioma Using MRI and MR Spectroscopic Imaging. Journal of Neuroimaging. 17(4). 361–366. 11 indexed citations
17.
Lu, Hanzhang, Erica Pollack, Robert J. Young, et al.. (2007). Predicting Grade of Cerebral Glioma Using Vascular-Space Occupancy MR Imaging. American Journal of Neuroradiology. 29(2). 373–378. 24 indexed citations
18.
Law, Meng, Robert J. Young, James S. Babb, Erica Pollack, & Glyn Johnson. (2007). Histogram analysis versus region of interest analysis of dynamic susceptibility contrast perfusion MR imaging data in the grading of cerebral gliomas.. American Journal of Neuroradiology. 28(4). 761–6. 113 indexed citations
19.
Young, Robert J., James S. Babb, Meng Law, Erica Pollack, & Glyn Johnson. (2007). Comparison of region‐of‐interest analysis with three different histogram analysis methods in the determination of perfusion metrics in patients with brain gliomas. Journal of Magnetic Resonance Imaging. 26(4). 1053–1063. 63 indexed citations
20.
MacLennan, Robert, et al.. (1982). Report of a workshop: cancers of the colon and rectum.. PubMed. 62. 145–9. 2 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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