Beatriz E. Adrada

3.9k total citations · 1 hit paper
90 papers, 2.1k citations indexed

About

Beatriz E. Adrada is a scholar working on Cancer Research, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Beatriz E. Adrada has authored 90 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Cancer Research, 45 papers in Pathology and Forensic Medicine and 34 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Beatriz E. Adrada's work include Breast Cancer Treatment Studies (44 papers), Breast Lesions and Carcinomas (43 papers) and Medical Imaging Techniques and Applications (21 papers). Beatriz E. Adrada is often cited by papers focused on Breast Cancer Treatment Studies (44 papers), Breast Lesions and Carcinomas (43 papers) and Medical Imaging Techniques and Applications (21 papers). Beatriz E. Adrada collaborates with scholars based in United States, Australia and Thailand. Beatriz E. Adrada's co-authors include Wei Yang, Rosalind P. Candelaria, Henry M. Kuerer, Savitri Krishnamurthy, Lumarie Santiago, Elizabeth A. Mittendorf, Sarah M. DeSnyder, Gaiane M. Rauch, Gary J. Whitman and Abigail S. Caudle and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer.

In The Last Decade

Beatriz E. Adrada

87 papers receiving 2.1k 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.

Improved Axillary Evaluation Following Neoadjuvant Therapy for Patients With Node-Positive Breast Cancer Using Selective Evaluation of Clipped Nodes: Implementation of Targeted Axillary Dissection

2016 578 citations Abigail S. Caudle, Wei Yang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Beatriz E. Adrada United States	20	1.3k	1.0k	709	586	515	90	2.1k
Zsolt Hodi United Kingdom	23	1.2k 0.9×	1.1k 1.0×	783 1.1×	403 0.7×	232 0.5×	43	2.0k
Marie-Jeanne T. F. D. Vrancken Peeters Netherlands	31	2.3k 1.7×	1.2k 1.2×	1.1k 1.6×	879 1.5×	1.0k 2.0×	123	3.2k
Yoshifumi Komoike Japan	25	979 0.7×	766 0.8×	792 1.1×	528 0.9×	160 0.3×	105	1.8k
Michael Knauer Austria	23	1.3k 1.0×	589 0.6×	904 1.3×	470 0.8×	165 0.3×	76	1.9k
Sophia K. Apple United States	23	609 0.5×	470 0.5×	781 1.1×	372 0.6×	287 0.6×	72	1.6k
Sughra Raza United States	25	730 0.5×	912 0.9×	384 0.5×	220 0.4×	914 1.8×	63	2.0k
Vania Vezzosi Italy	25	746 0.6×	643 0.6×	548 0.8×	270 0.5×	187 0.4×	56	1.4k
Eren D. Yeh United States	23	740 0.6×	663 0.7×	460 0.6×	162 0.3×	1.0k 2.0×	57	1.9k
J.L. Peterse Netherlands	21	1.1k 0.8×	785 0.8×	921 1.3×	244 0.4×	159 0.3×	42	1.7k
Sadako Akashi‐Tanaka Japan	23	995 0.7×	667 0.7×	848 1.2×	147 0.3×	468 0.9×	116	2.0k

Countries citing papers authored by Beatriz E. Adrada

Since Specialization

Citations

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

Fields of papers citing papers by Beatriz E. Adrada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beatriz E. Adrada. 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 Beatriz E. Adrada. The network helps show where Beatriz E. Adrada may publish in the future.

Co-authorship network of co-authors of Beatriz E. Adrada

This figure shows the co-authorship network connecting the top 25 collaborators of Beatriz E. Adrada. A scholar is included among the top collaborators of Beatriz E. Adrada 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 Beatriz E. Adrada. Beatriz E. Adrada 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

Garber, Haven R., Sreyashi Basu, Sonali Jindal, et al.. (2024). Durvalumab and tremelimumab before surgery in patients with hormone receptor positive, HER2-negative stage II-III breast cancer. Oncotarget. 15(1). 238–247. 2 indexed citations

Patel, Miral & Beatriz E. Adrada. (2024). Hereditary Breast Cancer. Radiologic Clinics of North America. 62(4). 627–642. 6 indexed citations

Kumar, Tapsi, Fei Yang, Jeffrey T. Chang, et al.. (2022). Tumor Immune Microenvironment Changes by Multiplex Immunofluorescence Staining in a Pilot Study of Neoadjuvant Talazoparib for Early-Stage Breast Cancer Patients with a Hereditary BRCA Mutation. Clinical Cancer Research. 28(17). 3669–3676. 8 indexed citations

Wu, Chengyue, Angela M. Jarrett, Zijian Zhou, et al.. (2022). MRI-Based Digital Models Forecast Patient-Specific Treatment Responses to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer. Cancer Research. 82(18). 3394–3404. 45 indexed citations

Rauch, Gaiane M., et al.. (2022). Functional tumor diameter measurement with molecular breast imaging: development and clinical application. Biomedical Physics & Engineering Express. 8(5). 55026–55026. 1 indexed citations

Guirguis, Mary S., Cristina M. Checka, Beatriz E. Adrada, et al.. (2021). Bracketing with Multiple Radioactive Seeds to Achieve Negative Margins in Breast Conservation Surgery. Clinical Breast Cancer. 22(2). e158–e166. 7 indexed citations

Candelaria, Rosalind P., David Spak, Gaiane M. Rauch, et al.. (2021). BI-RADS Ultrasound Lexicon Descriptors and Stromal Tumor-Infiltrating Lymphocytes in Triple-Negative Breast Cancer. Academic Radiology. 29. S35–S41. 18 indexed citations

Huang, Monica L., Kenneth R. Hess, Junsheng Ma, et al.. (2021). Prospective Comparison of Synthesized Mammography with DBT and Full-Field Digital Mammography with DBT Uncovers Recall Disagreements That may Impact Cancer Detection. Academic Radiology. 29(7). 1039–1045. 4 indexed citations

Candelaria, Rosalind P., Beatriz E. Adrada, Kenneth R. Hess, et al.. (2020). Axillary ultrasound during neoadjuvant systemic therapy in triple-negative breast cancer patients. European Journal of Radiology. 130. 109170–109170. 6 indexed citations

10.

Candelaria, Rosalind P., Beatriz E. Adrada, Wei Wei, et al.. (2019). Imaging features of triple-negative breast cancers according to androgen receptor status. European Journal of Radiology. 114. 167–174. 15 indexed citations

11.

Spak, David, Wei Wei, Marion E. Scoggins, et al.. (2019). Association of Retrospective Peer Review and Positive Predictive Value of Magnetic Resonance Imaging-Guided Vacuum-Assisted Needle Biopsies of Breast. SHILAP Revista de lepidopterología. 15(4). 229–234. 1 indexed citations

12.

Candelaria, Rosalind P., Alastair M. Thompson, Huong T. Le‐Petross, et al.. (2017). Analysis of stereotactic biopsies performed on suspicious calcifications identified within 24 months after completion of breast conserving surgery and radiation therapy for early breast cancer: Can biopsy be obviated?. The American Journal of Surgery. 215(4). 693–698. 5 indexed citations

13.

Tadros, Audree B., Wei Yang, Savitri Krishnamurthy, et al.. (2017). Identification of Patients With Documented Pathologic Complete Response in the Breast After Neoadjuvant Chemotherapy for Omission of Axillary Surgery. JAMA Surgery. 152(7). 665–665. 131 indexed citations

14.

Litton, Jennifer K., Marion E. Scoggins, Rashmi K. Murthy, et al.. (2016). A pilot study of neoadjuvant talazoparib for early-stage breast cancer patients with a BRCA mutation. Annals of Oncology. 27. vi46–vi46. 17 indexed citations

15.

Candelaria, Rosalind P., Monica L. Huang, Beatriz E. Adrada, et al.. (2016). Incremental Cancer Detection of Locoregional Restaging with Diagnostic Mammography Combined with Whole-Breast and Regional Nodal Ultrasound in Women with Newly Diagnosed Breast Cancer. Academic Radiology. 24(2). 191–199. 8 indexed citations

16.

Rauch, Gaiane M., Brian P. Hobbs, Henry M. Kuerer, et al.. (2015). Microcalcifications in 1657 Patients with Pure Ductal Carcinoma in Situ of the Breast: Correlation with Clinical, Histopathologic, Biologic Features, and Local Recurrence. Annals of Surgical Oncology. 23(2). 482–489. 47 indexed citations

17.

Jacobsen, Megan C., Başak E. Doğan, Beatriz E. Adrada, et al.. (2015). 3-T Breast Diffusion-Weighted MRI by Echo-Planar Imaging With Spectral Spatial Excitation or With Additional Spectral Inversion Recovery. Journal of Computer Assisted Tomography. 39(3). 1–1. 1 indexed citations

18.

Meric‐Bernstam, Funda, Argun Akçakanat, Huiqin Chen, et al.. (2014). Influence of Biospecimen Variables on Proteomic Biomarkers in Breast Cancer. Clinical Cancer Research. 20(14). 3870–3883. 40 indexed citations

19.

Çarkaci, Selin, Beatriz E. Adrada, Eric Rohren, et al.. (2012). Semiquantitative Analysis of Maximum Standardized Uptake Values of Regional Lymph Nodes in Inflammatory Breast Cancer. Academic Radiology. 19(5). 535–541. 16 indexed citations

20.

Walker, Christopher M., Eric Rohren, Wei Yang, et al.. (2011). Investigating the limit of detectability of a positron emission mammography device: A phantom study. Medical Physics. 38(9). 5176–5185. 15 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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