Shelley Hwang

3.6k total citations · 1 hit paper
34 papers, 1.5k citations indexed

About

Shelley Hwang is a scholar working on Cancer Research, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Shelley Hwang has authored 34 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cancer Research, 12 papers in Pathology and Forensic Medicine and 10 papers in Surgery. Recurrent topics in Shelley Hwang's work include Breast Cancer Treatment Studies (16 papers), Breast Lesions and Carcinomas (11 papers) and Breast Implant and Reconstruction (8 papers). Shelley Hwang is often cited by papers focused on Breast Cancer Treatment Studies (16 papers), Breast Lesions and Carcinomas (11 papers) and Breast Implant and Reconstruction (8 papers). Shelley Hwang collaborates with scholars based in United States, Netherlands and United Kingdom. Shelley Hwang's co-authors include Laura J. Esserman, Stuart J. Schnitt, M. Luke Marinovich, Monica Morrow, Jay R. Harris, Kimberly J. Van Zee, Irene Wapnir, Janet K. Horton, Mariana Chávez‐MacGregor and Nehmat Houssami and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and The Journal of Immunology.

In The Last Decade

Shelley Hwang

31 papers receiving 1.5k citations

Hit Papers

Addressing overdiagnosis and overtreatment in cancer: a p... 2014 2026 2018 2022 2014 100 200 300

Peers

Shelley Hwang
Olive Kearins United Kingdom
S. Alran France
John V. Kiluk United States
Sara H. Javid United States
David R. Brenin United States
Jill R. Dietz United States
Kathleen C. Horst United States
Cheryl A. Ewing United States
Shelley Hwang
Citations per year, relative to Shelley Hwang Shelley Hwang (= 1×) peers Stephanie M. Wong

Countries citing papers authored by Shelley Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Shelley Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shelley Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Shelley Hwang. A scholar is included among the top collaborators of Shelley Hwang 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 Shelley Hwang. Shelley Hwang 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.
Duijnhoven, Frederieke van, Esther H. Lips, Emma J. Groen, et al.. (2024). Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trials. Cancer Imaging. 24(1). 48–48. 3 indexed citations
2.
Woloshin, Steven, Karsten Juhl Jørgensen, Shelley Hwang, & H. Gilbert Welch. (2023). The New USPSTF Mammography Recommendations — A Dissenting View. New England Journal of Medicine. 389(12). 1061–1064. 14 indexed citations
3.
Nieva, Jorge J., Janice Lu, Shelley Hwang, et al.. (2022). Multianalyte liquid biopsy to aid the diagnostic workup of breast cancer. npj Breast Cancer. 8(1). 112–112. 16 indexed citations
4.
Engelhardt, Ellen G., Frederieke van Duijnhoven, Maartje van Seijen, et al.. (2020). The impact of patient characteristics and lifestyle factors on the risk of an ipsilateral event after a primary DCIS: A systematic review. The Breast. 50. 95–103. 2 indexed citations
5.
Habib, Ashraf S., Miklós D. Kertai, Mary Cooter, Rachel A. Greenup, & Shelley Hwang. (2019). Risk factors for severe acute pain and persistent pain after surgery for breast cancer: a prospective observational study. Regional Anesthesia & Pain Medicine. 44(2). 192–199. 64 indexed citations
6.
Rodrı́guez-Lee, Mariam, Anand Kolatkar, Jude Kendall, et al.. (2017). Effect of Blood Collection Tube Type and Time to Processing on the Enumeration and High-Content Characterization of Circulating Tumor Cells Using the High-Definition Single-Cell Assay. Archives of Pathology & Laboratory Medicine. 142(2). 198–207. 40 indexed citations
7.
Chapman, Jocelyn, et al.. (2016). Comparing Coordinated Versus Sequential Salpingo-Oophorectomy for BRCA1 and BRCA2 Mutation Carriers With Breast Cancer. Clinical Breast Cancer. 16(6). 494–499. 8 indexed citations
10.
Bahl, Manisha, et al.. (2016). Can Vascular Patterns on Preoperative Magnetic Resonance Imaging Help Predict Skin Necrosis after Nipple-Sparing Mastectomy?. Journal of the American College of Surgeons. 223(2). 279–285. 11 indexed citations
11.
Worni, Mathias, et al.. (2014). Trends in treatment patterns and outcomes for DCIS patients: A SEER population-based analysis.. Journal of Clinical Oncology. 32(15_suppl). 1007–1007. 6 indexed citations
12.
Liu, Liang‐Chih, Julie E. Lang, Ying Lü, et al.. (2010). Intraoperative frozen section analysis of sentinel lymph nodes in breast cancer patients. Cancer. 117(2). 250–258. 83 indexed citations
13.
Lang, Julie E., Liang‐Chih Liu, Ying Lü, et al.. (2009). Prognostic Implications of Positive Nonsentinel Lymph Nodes Removed During Selective Sentinel Lymphadenectomy for Breast Cancer. The Breast Journal. 15(3). 242–246. 1 indexed citations
14.
Liu, Liang‐Chih, Julie E. Lang, Tyler J. Jenkins, et al.. (2008). Is It Necessary to Harvest Additional Lymph Nodes after Resection of the Most Radioactive Sentinel Lymph Node in Breast Cancer?. Journal of the American College of Surgeons. 207(6). 853–858. 17 indexed citations
15.
Nápoles‐Springer, Anna, Jennifer C. Livaudais, Joan R. Bloom, Shelley Hwang, & Celia P. Kaplan. (2007). Information Exchange and Decision Making in the Treatment of Latina and White Women with Ductal CarcinomaIn Situ. Journal of Psychosocial Oncology. 25(4). 19–36. 34 indexed citations
16.
Hwang, Shelley, Cheryl A. Ewing, Karen Lane, et al.. (2005). Primary Tumor Characteristics Predict Sentinel Lymph Node Macrometastasis in Breast Cancer. The Breast Journal. 11(5). 338–343. 17 indexed citations
17.
Lü, Ying, Shelley Hwang, Cheryl A. Ewing, et al.. (2005). Ratio of Positive to Total Number of Sentinel Nodes Predicts Nonsentinel Node Status in Breast Cancer Patients. The Breast Journal. 11(4). 248–253. 23 indexed citations
18.
Treseler, Patrick, Ying Lü, Shelley Hwang, et al.. (2005). The Effect of Sentinel Node Tumor Burden on Non–Sentinel Node Status and Recurrence Rates in Breast Cancer. Annals of Surgical Oncology. 12(9). 705–711. 50 indexed citations
19.
DeVries, Sandy, Sarah J. Nyante, Richard Segraves, et al.. (2005). Array-Based Comparative Genomic Hybridization from Formalin-Fixed, Paraffin-Embedded Breast Tumors. Journal of Molecular Diagnostics. 7(1). 65–71. 50 indexed citations
20.
Lang, Julie E., Laura J. Esserman, Cheryl A. Ewing, et al.. (2004). Accuracy of selective sentinel lymphadenectomy after neoadjuvant chemotherapy: Effect of clinical node status at presentation. Journal of the American College of Surgeons. 199(6). 856–862. 46 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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