Su‐Ju Lee

913 total citations
24 papers, 559 citations indexed

About

Su‐Ju Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Su‐Ju Lee has authored 24 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Cancer Research and 9 papers in Pathology and Forensic Medicine. Recurrent topics in Su‐Ju Lee's work include Breast Cancer Treatment Studies (11 papers), Breast Lesions and Carcinomas (9 papers) and MRI in cancer diagnosis (7 papers). Su‐Ju Lee is often cited by papers focused on Breast Cancer Treatment Studies (11 papers), Breast Lesions and Carcinomas (9 papers) and MRI in cancer diagnosis (7 papers). Su‐Ju Lee collaborates with scholars based in United States. Su‐Ju Lee's co-authors include Mary C. Mahoney, Mary S. Newell, Ana P. Lourenço, Monica Yepes, Linda Moy, Martha B. Mainiero, Edward D. Green, Anna I. Holbrook, Priscilla J. Slanetz and Roberta M. diFlorio‐Alexander and has published in prestigious journals such as American Journal of Roentgenology, European Journal of Radiology and Academic Radiology.

In The Last Decade

Su‐Ju Lee

24 papers receiving 548 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Su‐Ju Lee United States 12 236 210 197 193 160 24 559
Monica Yepes United States 14 237 1.0× 193 0.9× 235 1.2× 243 1.3× 121 0.8× 36 616
Delia M. Keating United States 13 193 0.8× 294 1.4× 174 0.9× 120 0.6× 203 1.3× 17 539
Nina S. Vincoff United States 11 167 0.7× 162 0.8× 179 0.9× 180 0.9× 109 0.7× 20 499
Jennifer Chun United States 14 220 0.9× 163 0.8× 286 1.5× 311 1.6× 207 1.3× 46 719
Antuono Latronico Italy 14 193 0.8× 219 1.0× 231 1.2× 125 0.6× 100 0.6× 42 577
Edward D. Green United States 9 167 0.7× 173 0.8× 146 0.7× 116 0.6× 95 0.6× 12 435
MJ Michell United Kingdom 13 322 1.4× 155 0.7× 247 1.3× 207 1.1× 121 0.8× 39 658
Deborah O. Jeffries United States 11 209 0.9× 165 0.8× 156 0.8× 123 0.6× 146 0.9× 17 437
Rebecca Leddy United States 10 194 0.8× 178 0.8× 169 0.9× 136 0.7× 109 0.7× 21 454
Volker Duda Germany 11 260 1.1× 185 0.9× 170 0.9× 107 0.6× 85 0.5× 41 525

Countries citing papers authored by Su‐Ju Lee

Since Specialization
Citations

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

Fields of papers citing papers by Su‐Ju Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐Ju Lee. 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 Su‐Ju Lee. The network helps show where Su‐Ju Lee may publish in the future.

Co-authorship network of co-authors of Su‐Ju Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Su‐Ju Lee. A scholar is included among the top collaborators of Su‐Ju Lee 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 Su‐Ju Lee. Su‐Ju Lee 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.
Shaughnessy, Elizabeth, Chantal Reyna, Jaime D. Lewis, et al.. (2022). Exploiting the advantages of a wireless seed localization system that differentiates between the seeds: Breast cancer resection following neoadjuvant chemotherapy. Cancer Reports. 6(1). e1690–e1690. 3 indexed citations
2.
Herschorn, Sally D., Brian L. Sprague, Diana S.M. Buist, et al.. (2022). Imaging Surveillance Options for Individuals With a Personal History of Breast Cancer: AJR Expert Panel Narrative Review. American Journal of Roentgenology. 219(6). 854–868. 14 indexed citations
3.
Lee, Su‐Ju, et al.. (2021). Characterization of common breast MRI abnormalities: comparison between abbreviated and full MRI protocols. Clinical Imaging. 79. 125–132. 3 indexed citations
4.
5.
Zhang, Bin, et al.. (2020). Textural Characteristics of Biopsy-proven Metastatic Axillary Nodes on Preoperative Breast MRI in Breast Cancer Patients: A Feasibility Study. Journal of Breast Imaging. 2(4). 361–371. 1 indexed citations
6.
Brown, Ann L., et al.. (2020). Screening Mammogram Results in the Digital Age: Video Messaging - A Pilot Study. Academic Radiology. 28(4). 487–494. 2 indexed citations
7.
Lee, Su‐Ju, et al.. (2019). The evolving imaging features of lupus mastitis. The Breast Journal. 25(4). 753–754. 3 indexed citations
8.
DeBruhl, N D, Su‐Ju Lee, Mary C. Mahoney, et al.. (2019). MRI Evaluation of the Contralateral Breast in Women with Recently Diagnosed Breast Cancer: 2-Year Follow-up. Journal of Breast Imaging. 2(1). 50–55. 6 indexed citations
9.
Lee, Su‐Ju, et al.. (2019). Asymmetric Ductal Ectasia: An Often Overlooked Sign of Malignancy. American Journal of Roentgenology. 213(2). 473–481. 10 indexed citations
10.
Lee, Su‐Ju, et al.. (2018). A comparison of full-field digital mammograms versus 2D synthesized mammograms for detection of microcalcifications on screening. European Journal of Radiology. 107. 14–19. 15 indexed citations
11.
Mainiero, Martha B., Linda Moy, Paul L. Baron, et al.. (2017). ACR Appropriateness Criteria ® Breast Cancer Screening. Journal of the American College of Radiology. 14(11). S383–S390. 119 indexed citations
12.
Jokich, Peter M., Lisa Bailey, Carl J. D’Orsi, et al.. (2017). ACR Appropriateness Criteria ® Breast Pain. Journal of the American College of Radiology. 14(5). S25–S33. 24 indexed citations
13.
Slanetz, Priscilla J., Linda Moy, Paul L. Baron, et al.. (2017). ACR Appropriateness Criteria ® Monitoring Response to Neoadjuvant Systemic Therapy for Breast Cancer. Journal of the American College of Radiology. 14(11). S462–S475. 60 indexed citations
14.
Moy, Linda, Samantha L. Heller, Lisa Bailey, et al.. (2017). ACR Appropriateness Criteria ® Palpable Breast Masses. Journal of the American College of Radiology. 14(5). S203–S224. 52 indexed citations
15.
Moy, Linda, Lisa Bailey, Carl J. D’Orsi, et al.. (2017). 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. 14(5). S282–S292. 7 indexed citations
16.
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
17.
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
18.
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
19.
Huynh, Phan T., Mary C. Mahoney, Mary S. Newell, et al.. (2016). ACR Appropriateness Criteria® Stage I Breast Carcinoma. Journal of the American College of Radiology. 13(11). e53–e57. 2 indexed citations
20.
Lee, Su‐Ju, et al.. (2015). The Management of Benign Concordant MRI-guided Breast Biopsies: Lessons Learned. The Breast Journal. 21(6). 665–668. 10 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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