Troy Bremer

1.2k total citations
32 papers, 797 citations indexed

About

Troy Bremer is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Troy Bremer has authored 32 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cancer Research, 12 papers in Pathology and Forensic Medicine and 12 papers in Oncology. Recurrent topics in Troy Bremer's work include Breast Cancer Treatment Studies (21 papers), Breast Lesions and Carcinomas (12 papers) and HER2/EGFR in Cancer Research (4 papers). Troy Bremer is often cited by papers focused on Breast Cancer Treatment Studies (21 papers), Breast Lesions and Carcinomas (12 papers) and HER2/EGFR in Cancer Research (4 papers). Troy Bremer collaborates with scholars based in United States, Sweden and Australia. Troy Bremer's co-authors include David Gough, Steven P. Linke, Herbert I. Hurwitz, Andrew G. Stead, E. Claire Dees, Howard A. Burris, P. Kelly Marcom, Sarah Bacus, Neil L. Spector and Beth Overmoyer and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Diabetes.

In The Last Decade

Troy Bremer

28 papers receiving 772 citations

Peers

Troy Bremer
Agnes Witkiewicz United States
Xiaoying Liu United States
Xuexin He China
Aranzazu Fernández-Martínez Spain
Mauricio P. Pinto Chile
Matthew O’Connor United States
Zhimin Shao China
Rainer Girgert Germany
Yujun Li China
Rosario Gil‐Benso Spain
Agnes Witkiewicz United States
Troy Bremer
Citations per year, relative to Troy Bremer Troy Bremer (= 1×) peers Agnes Witkiewicz

Countries citing papers authored by Troy Bremer

Since Specialization
Citations

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

Fields of papers citing papers by Troy Bremer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Troy Bremer

This figure shows the co-authorship network connecting the top 25 collaborators of Troy Bremer. A scholar is included among the top collaborators of Troy Bremer 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 Troy Bremer. Troy Bremer 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.
Shah, Chirag, Frank A. Vicini, Eileen P. Connolly, et al.. (2025). CLO25-061: 7-Gene Biosignature Reclassified Women With DCIS Meeting NCCN Guideline (RTOG 9804-Like) Low-Risk Criteria as Molecular High Risk. Journal of the National Comprehensive Cancer Network. 23(3.5).
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Dabbs, David J., Karuna Mittal, Pat W. Whitworth, et al.. (2023). Analytical validation of the 7-gene biosignature for prediction of recurrence risk and radiation therapy benefit for breast ductal carcinoma in situ. Frontiers in Oncology. 13. 1069059–1069059. 2 indexed citations
5.
Vicini, Frank A., G. Bruce Mann, Chirag Shah, et al.. (2022). A Novel Biosignature Identifies Patients With DCIS With High Risk of Local Recurrence After Breast Conserving Surgery and Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 115(1). 93–102. 14 indexed citations
6.
Olofsson, Helena, Erik Holmberg, Troy Bremer, et al.. (2022). Tumour-infiltrating lymphocytes add prognostic information for patients with low-risk DCIS: findings from the SweDCIS randomised radiotherapy trial. European Journal of Cancer. 168. 128–137. 13 indexed citations
7.
Whitworth, Pat W., Chirag Shah, Frank A. Vicini, et al.. (2022). Assessing the benefit of adjuvant endocrine therapy in patients following breast-conserving surgery with or without radiation stratified by a 7-gene predictive DCIS biosignature.. Journal of Clinical Oncology. 40(16_suppl). 502–502. 1 indexed citations
8.
Strell, Carina, Erik Holmberg, Per Karlsson, et al.. (2021). High PDGFRb Expression Predicts Resistance to Radiotherapy in DCIS within the SweDCIS Randomized Trial. Clinical Cancer Research. 27(12). 3469–3477. 10 indexed citations
9.
Vicini, Frank A., Chirag Shah, Pat W. Whitworth, et al.. (2021). Biosignatures to Optimize Adjuvant Radiation Therapy Use in Patients With DCIS With High Risk Clinicopathologic Features. International Journal of Radiation Oncology*Biology*Physics. 111(3). S34–S35. 1 indexed citations
10.
Weinmann, Sheila, Michael C. Leo, Melanie Francisco, et al.. (2020). Validation of a Ductal Carcinoma In Situ Biomarker Profile for Risk of Recurrence after Breast-Conserving Surgery with and without Radiotherapy. Clinical Cancer Research. 26(15). 4054–4063. 34 indexed citations
11.
Bremer, Troy, Chirag Shah, Rakesh Patel, et al.. (2020). A novel biosignature to assess residual risk in ductal carcinoma in situ (DCIS) patients after standard treatment.. Journal of Clinical Oncology. 38(15_suppl). 548–548.
12.
Bremer, Troy, Pat W. Whitworth, Rakesh Patel, et al.. (2018). A Biological Signature for Breast Ductal Carcinoma In Situ to Predict Radiotherapy Benefit and Assess Recurrence Risk. Clinical Cancer Research. 24(23). 5895–5901. 71 indexed citations
13.
Bremer, Troy, Pat W. Whitworth, Todd Barry, et al.. (2017). Abstract S5-01: DCIS biological risk profile predicts risk of recurrence after breast conserving surgery in a Kaiser Permanente NW population. Cancer Research. 77(4_Supplement). S5–1. 1 indexed citations
14.
Linke, Steven P., Troy Bremer, Pat W. Whitworth, et al.. (2015). Validation of a multi-marker test that predicts recurrence in patients diagnosed with ductal carcinoma in situ (DCIS) treated with breast-conserving surgery (BCS). Cancer Research. 75(9). 1 indexed citations
15.
Bremer, Troy, Jocelyne Jacquemier, Emmanuelle Charafe‐Jauffret, et al.. (2008). Prognostic marker profile to assess risk in stage I–III hormone receptor‐positive breast cancer patients. International Journal of Cancer. 124(4). 896–904. 10 indexed citations
16.
Bremer, Troy, et al.. (2007). The Pharmacogenetics of Lithium Response Depends upon Clinical Co-Morbidity. Molecular Diagnosis & Therapy. 11(3). 161–170. 37 indexed citations
17.
Spector, Neil L., Wenle Xia, Howard A. Burris, et al.. (2005). Study of the Biologic Effects of Lapatinib, a Reversible Inhibitor of ErbB1 and ErbB2 Tyrosine Kinases, on Tumor Growth and Survival Pathways in Patients With Advanced Malignancies. Journal of Clinical Oncology. 23(11). 2502–2512. 290 indexed citations
18.
Gough, David, Kenneth Kreutz-Delgado, & Troy Bremer. (2003). Frequency Characterization of Blood Glucose Dynamics. Annals of Biomedical Engineering. 31(1). 91–97. 37 indexed citations
19.
Bremer, Troy, Steven V. Edelman, & David Gough. (2001). Benchmark Data from the Literature for Evaluation of New Glucose Sensing Technologies. Diabetes Technology & Therapeutics. 3(3). 409–418. 11 indexed citations
20.
Gough, David & Troy Bremer. (2000). Analysis: Immobilized Glucose Oxidase in Implantable Glucose Sensor Technology. Diabetes Technology & Therapeutics. 2(3). 377–380. 24 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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