Preeti Subhedar

699 total citations
29 papers, 448 citations indexed

About

Preeti Subhedar is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Preeti Subhedar has authored 29 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 18 papers in Cancer Research and 11 papers in Pathology and Forensic Medicine. Recurrent topics in Preeti Subhedar's work include Breast Cancer Treatment Studies (18 papers), Global Cancer Incidence and Screening (11 papers) and Breast Lesions and Carcinomas (11 papers). Preeti Subhedar is often cited by papers focused on Breast Cancer Treatment Studies (18 papers), Global Cancer Incidence and Screening (11 papers) and Breast Lesions and Carcinomas (11 papers). Preeti Subhedar collaborates with scholars based in United States, Brazil and Norway. Preeti Subhedar's co-authors include Monica Morrow, Kimberly J. Van Zee, Cristina Olcese, Sujata Patil, Keerthi Gogineni, Lauren E. McCullough, Cletus A. Arciero, Theresa Gillespie, Katherine Ross and Lindsay J. Collin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Cancer.

In The Last Decade

Preeti Subhedar

28 papers receiving 445 citations

Peers

Preeti Subhedar
Christina A. Dilaveri United States
Jared H. Linebarger United States
Carlie K. Thompson United States
Nina Tamirisa United States
Fuh Yong Wong Singapore
Manon J. Pepels Netherlands
Nicola Barnes United Kingdom
Christina A. Dilaveri United States
Preeti Subhedar
Citations per year, relative to Preeti Subhedar Preeti Subhedar (= 1×) peers Christina A. Dilaveri

Countries citing papers authored by Preeti Subhedar

Since Specialization
Citations

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

Fields of papers citing papers by Preeti Subhedar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preeti Subhedar

This figure shows the co-authorship network connecting the top 25 collaborators of Preeti Subhedar. A scholar is included among the top collaborators of Preeti Subhedar 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 Preeti Subhedar. Preeti Subhedar 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.
Postlewait, Lauren M., et al.. (2023). Patterns of completion axillary dissection for patients with cT1‐2N0 breast cancer undergoing total mastectomy with positive sentinel lymph nodes. Journal of Surgical Oncology. 129(3). 468–480. 1 indexed citations
2.
Bhattarai, Shristi, Hongxiao Li, Zhan Shi, et al.. (2022). A spatial attention guided deep learning system for prediction of pathological complete response using breast cancer histopathology images. Bioinformatics. 38(19). 4605–4612. 20 indexed citations
3.
Collin, Lindsay J., Rebecca Nash, Jasmine M. Miller‐Kleinhenz, et al.. (2022). Time to Surgical Treatment and Facility Characteristics as Potential Drivers of Racial Disparities in Breast Cancer Mortality. Annals of Surgical Oncology. 29(8). 4728–4738. 8 indexed citations
4.
Lizarraga, Ingrid M., Judy C. Boughey, Anna Weiss, et al.. (2022). National Cancer Database trends in surgical resection of the breast primary for stage IV breast cancer. Surgical Oncology. 42. 101778–101778. 5 indexed citations
5.
Collin, Lindsay J., Lauren E. McCullough, Keerthi Gogineni, et al.. (2022). Barriers to breast cancer screening in Atlanta, GA: results from the Pink Panel survey at faith-based institutions. Cancer Causes & Control. 33(12). 1465–1472. 3 indexed citations
6.
Lizarraga, Ingrid M., Judy C. Boughey, Anna Weiss, et al.. (2022). Abstract PD7-06: Trends in surgical resection for stage IV breast cancer: Less surgery more systemic treatment. Cancer Research. 82(4_Supplement). PD7–6. 1 indexed citations
7.
Jiang, Renjian, et al.. (2022). Did Medicaid Expansion Mitigate Disparities in Post-mastectomy Reconstruction Rates?. The American Surgeon. 88(5). 846–851. 5 indexed citations
8.
Collin, Lindsay J., Ming Yan, Renjian Jiang, et al.. (2021). Receipt of Guideline-Concordant Care Does Not Explain Breast Cancer Mortality Disparities by Race in Metropolitan Atlanta. Journal of the National Comprehensive Cancer Network. 19(11). 1242–1251. 9 indexed citations
9.
Bhattarai, Shristi, Hongxiao Li, Fusheng Wang, et al.. (2021). Spatial Attention-Based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains. Lecture notes in computer science. 12908. 550–560. 5 indexed citations
10.
Subhedar, Preeti & Sarah A. McLaughlin. (2020). Breast Cancer in the Young Patient: Review of Therapy and Treatment Considerations. SHILAP Revista de lepidopterología. 9(2). 1 indexed citations
11.
Arciero, Cletus A., Neil T. Pfister, Jane Meisel, et al.. (2020). The Influence of Histologic Grade on Outcomes of Elderly Women With Early Stage Breast Cancer Treated With Breast Conserving Surgery With or Without Radiotherapy. Clinical Breast Cancer. 20(6). e701–e710. 5 indexed citations
12.
Weiler, Michael, et al.. (2020). An infrared 3D scanning device as a novel limb volume measurement tool in breast cancer patients. World Journal of Surgical Oncology. 18(1). 278–278. 12 indexed citations
13.
Lee, Rachel, et al.. (2019). Is Routine Recurrence Score Testing in Patients Older than 70 Years of Age Warranted? An Evaluation of the National Cancer Database After TAILORx. Annals of Surgical Oncology. 26(10). 3152–3158. 2 indexed citations
14.
Collin, Lindsay J., Renjian Jiang, Kevin C. Ward, et al.. (2019). Racial Disparities in Breast Cancer Outcomes in the Metropolitan Atlanta Area: New Insights and Approaches for Health Equity. JNCI Cancer Spectrum. 3(3). pkz053–pkz053. 16 indexed citations
15.
Collin, Lindsay J., Ming Yan, Renjian Jiang, et al.. (2019). Oncotype DX recurrence score implications for disparities in chemotherapy and breast cancer mortality in Georgia. npj Breast Cancer. 5(1). 32–32. 22 indexed citations
16.
Ross, Katherine, et al.. (2019). Obesity and cancer treatment efficacy: Existing challenges and opportunities. Cancer. 125(10). 1588–1592. 39 indexed citations
18.
Subhedar, Preeti, Michelle Stempel, Anne Eaton, Monica Morrow, & Mary L. Gemignani. (2015). Do the ACOSOG Z0011 Criteria Affect the Number of Sentinel Lymph Nodes Removed?. Annals of Surgical Oncology. 22(S3). 470–475. 9 indexed citations
19.
Subhedar, Preeti, Cristina Olcese, Sujata Patil, Monica Morrow, & Kimberly J. Van Zee. (2015). Decreasing Recurrence Rates for Ductal Carcinoma In Situ: Analysis of 2996 Women Treated with Breast-Conserving Surgery Over 30 Years. Annals of Surgical Oncology. 22(10). 3273–3281. 36 indexed citations
20.
Zee, Kimberly J. Van, Preeti Subhedar, Cristina Olcese, Sujata Patil, & Monica Morrow. (2015). Relationship Between Margin Width and Recurrence of Ductal Carcinoma In Situ. Annals of Surgery. 262(4). 623–631. 83 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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