Monica Morrow

15.7k total citations · 4 hit papers
138 papers, 9.9k citations indexed

About

Monica Morrow is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Monica Morrow has authored 138 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Cancer Research, 61 papers in Pathology and Forensic Medicine and 54 papers in Oncology. Recurrent topics in Monica Morrow's work include Breast Cancer Treatment Studies (94 papers), Breast Lesions and Carcinomas (59 papers) and Breast Implant and Reconstruction (38 papers). Monica Morrow is often cited by papers focused on Breast Cancer Treatment Studies (94 papers), Breast Lesions and Carcinomas (59 papers) and Breast Implant and Reconstruction (38 papers). Monica Morrow collaborates with scholars based in United States, Canada and Switzerland. Monica Morrow's co-authors include V. Craig Jordan, Armando E. Giuliano, Kelly K. Hunt, Linda McCall, A. Marilyn Leitch, Pat W. Whitworth, Peter Blumencranz, Sukamal Saha, Karla V. Ballman and Peter D. Beitsch and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and Endocrine Reviews.

In The Last Decade

Monica Morrow

132 papers receiving 9.6k citations

Hit Papers

The Effect of Raloxifene on Risk of Breast Cancer in Post... 1999 2026 2008 2017 1999 2017 2002 2010 400 800 1.2k

Peers

Monica Morrow
Judy C. Boughey United States
Adri C. Voogd Netherlands
Lori J. Pierce United States
James J. Dignam United States
Judy C. Boughey United States
Monica Morrow
Citations per year, relative to Monica Morrow Monica Morrow (= 1×) peers Judy C. Boughey

Countries citing papers authored by Monica Morrow

Since Specialization
Citations

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

Fields of papers citing papers by Monica Morrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monica Morrow

This figure shows the co-authorship network connecting the top 25 collaborators of Monica Morrow. A scholar is included among the top collaborators of Monica Morrow 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 Monica Morrow. Monica Morrow 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.
Grabenstetter, Anne, Sandra Brennan, Maxine S. Jochelson, et al.. (2024). Radial sclerosing lesions found on core needle biopsy: excision can be safely avoided. Histopathology. 85(3). 397–404.
2.
Pak, Linda M., Varadan Sevilimedu, Audree B. Tadros, et al.. (2022). How Much Pain Will I Have After Surgery? A Preoperative Nomogram to Predict Acute Pain Following Mastectomy. Annals of Surgical Oncology. 29(11). 6706–6713. 12 indexed citations
3.
Braunstein, Lior Z. & Monica Morrow. (2022). Regional Nodal Management in the Setting of Up-Front Surgery. Seminars in Radiation Oncology. 32(3). 221–227. 2 indexed citations
4.
Kurian, Allison W., Paul Abrahamse, Irina Bondarenko, et al.. (2021). Association of Genetic Testing Results With Mortality Among Women With Breast Cancer or Ovarian Cancer. JNCI Journal of the National Cancer Institute. 114(2). 245–253. 9 indexed citations
5.
Iyengar, Neil M., Xi Kathy Zhou, Dilip D. Giri, et al.. (2021). Effects of Adiposity and Exercise on Breast Tissue and Systemic Metabo-Inflammatory Factors in Women at High Risk or Diagnosed with Breast Cancer. Cancer Prevention Research. 14(5). 541–550. 14 indexed citations
6.
Wen, Hannah Y., et al.. (2021). Concordance Between 21-Gene Recurrence Scores in Multifocal or Multicentric Breast Carcinomas Differs by Age and Histologic Subtype. Annals of Surgical Oncology. 28(8). 4256–4262. 3 indexed citations
7.
Knežević, Andrea, et al.. (2020). Atypical ductal hyperplasia bordering on DCIS on core biopsy is associated with higher risk of upgrade than conventional atypical ductal hyperplasia. Breast Cancer Research and Treatment. 184(3). 873–880. 5 indexed citations
8.
Spanheimer, Philip M., Melissa P. Murray, Emily C. Zabor, et al.. (2019). Long-Term Outcomes After Surgical Treatment of Malignant/Borderline Phyllodes Tumors of the Breast. Annals of Surgical Oncology. 26(7). 2136–2143. 30 indexed citations
9.
Mamtani, Anita, Emily C. Zabor, Michelle Stempel, & Monica Morrow. (2019). Lobular Histology Does Not Predict the Need for Axillary Dissection Among ACOSOG Z0011-Eligible Breast Cancers. Annals of Surgical Oncology. 26(10). 3269–3274. 10 indexed citations
10.
Zee, Kimberly J. Van, Emily C. Zabor, Jana Fox, et al.. (2019). Comparison of Local Recurrence Risk Estimates After Breast-Conserving Surgery for DCIS: DCIS Nomogram Versus Refined Oncotype DX Breast DCIS Score. Annals of Surgical Oncology. 26(10). 3282–3288. 17 indexed citations
11.
Houssami, Nehmat, Robin Turner, & Monica Morrow. (2017). Meta-analysis of pre-operative magnetic resonance imaging (MRI) and surgical treatment for breast cancer. Breast Cancer Research and Treatment. 165(2). 273–283. 136 indexed citations
12.
Jagsi, Reshma, Paul Abrahamse, Lauren P. Wallner, et al.. (2017). Treatment decisions and employment of breast cancer patients: Results of a population‐based survey. Cancer. 123(24). 4791–4799. 49 indexed citations
13.
Mamtani, Anita, Sujata Patil, Michelle Stempel, & Monica Morrow. (2017). Are there patients with T1 to T2, lymph node‐negative breast cancer who are “high‐risk” for locoregional disease recurrence?. Cancer. 123(14). 2626–2633. 13 indexed citations
14.
Wen, Hannah Y., Melissa Krystel‐Whittemore, Sujata Patil, et al.. (2016). Breast carcinoma with an Oncotype Dx recurrence score <18: Rate of distant metastases in a large series with clinical follow‐up. Cancer. 123(1). 131–137. 15 indexed citations
15.
Jochelson, Maxine S., et al.. (2016). How Beneficial is Follow-Up Mammography in Elderly Breast Cancer Survivors?. Annals of Surgical Oncology. 23(11). 3518–3523. 5 indexed citations
16.
Giuliano, Armando E., Karla V. Ballman, Linda McCall, et al.. (2016). Locoregional Recurrence After Sentinel Lymph Node Dissection With or Without Axillary Dissection in Patients With Sentinel Lymph Node Metastases. Annals of Surgery. 264(3). 413–420. 336 indexed citations
17.
Jagsi, Reshma, Yun Li, Monica Morrow, et al.. (2015). Patient-reported Quality of Life and Satisfaction With Cosmetic Outcomes After Breast Conservation and Mastectomy With and Without Reconstruction. Annals of Surgery. 261(6). 1198–1206. 175 indexed citations
18.
Port, Elisa, Sujata Patil, Michelle Stempel, Monica Morrow, & Hiram S. Cody. (2010). Number of lymph nodes removed in sentinel lymph node‐negative breast cancer patients is significantly related to patient age and tumor size. Cancer. 116(8). 1987–1991. 21 indexed citations
19.
Guillem, José G., William C. Wood, Jeffrey F. Moley, et al.. (2006). ASCO/SSO Review of Current Role of Risk-Reducing Surgery in Common Hereditary Cancer Syndromes. Annals of Surgical Oncology. 13(10). 1296–1321. 37 indexed citations
20.
Khan, Seema A., Elizabeth L. Wiley, Núria Rodríguez, et al.. (2004). Ductal Lavage Findings in Women With Known Breast Cancer Undergoing Mastectomy. JNCI Journal of the National Cancer Institute. 96(20). 1510–1517. 58 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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