Rachel C. Jankowitz

6.1k total citations
62 papers, 1.7k citations indexed

About

Rachel C. Jankowitz is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Rachel C. Jankowitz has authored 62 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Oncology, 26 papers in Cancer Research and 17 papers in Pathology and Forensic Medicine. Recurrent topics in Rachel C. Jankowitz's work include Breast Cancer Treatment Studies (25 papers), HER2/EGFR in Cancer Research (14 papers) and Breast Lesions and Carcinomas (9 papers). Rachel C. Jankowitz is often cited by papers focused on Breast Cancer Treatment Studies (25 papers), HER2/EGFR in Cancer Research (14 papers) and Breast Lesions and Carcinomas (9 papers). Rachel C. Jankowitz collaborates with scholars based in United States, Belgium and Germany. Rachel C. Jankowitz's co-authors include Adam Brufsky, Steffi Oesterreich, Shandong Wu, David J. Dabbs, Nancy E. Davidson, Aly A. Mohamed, Yahong Luo, Hong Peng, Wendie A. Berg and Shannon L. Puhalla and has published in prestigious journals such as Journal of Clinical Oncology, Blood and JNCI Journal of the National Cancer Institute.

In The Last Decade

Rachel C. Jankowitz

59 papers receiving 1.6k citations

Peers

Rachel C. Jankowitz
Tracy Lively United States
MM Regan Switzerland
P. Kelly Marcom United States
Jeremy Thomas United Kingdom
Foluso O. Ademuyiwa United States
Shannon McKernin United States
Tracey Weisberg United States
Jonathan D. Marotti United States
Tracy Lively United States
Rachel C. Jankowitz
Citations per year, relative to Rachel C. Jankowitz Rachel C. Jankowitz (= 1×) peers Tracy Lively

Countries citing papers authored by Rachel C. Jankowitz

Since Specialization
Citations

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

Fields of papers citing papers by Rachel C. Jankowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel C. Jankowitz. 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 Rachel C. Jankowitz. The network helps show where Rachel C. Jankowitz may publish in the future.

Co-authorship network of co-authors of Rachel C. Jankowitz

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel C. Jankowitz. A scholar is included among the top collaborators of Rachel C. Jankowitz 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 Rachel C. Jankowitz. Rachel C. Jankowitz 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.
Sanft, Tara, Rachel C. Jankowitz, Mark D. Pegram, et al.. (2024). Impact of the Breast Cancer Index for Extended Endocrine Decision-Making: First Results of the Prospective BCI Registry Study. Journal of the National Comprehensive Cancer Network. 22(2). 99–107. 1 indexed citations
2.
Elmore, Leisha C., Gary M. Freedman, Rachel C. Jankowitz, et al.. (2023). Temporal Trends and Factors Associated with Receipt of Post-mastectomy Radiation After Neoadjuvant Chemotherapy in Women with cT3 Breast Cancer. Annals of Surgical Oncology. 30(11). 6506–6515.
3.
Shulman, Lawrence N., et al.. (2021). Time to Treatment Initiation for Breast Cancer During the 2020 COVID-19 Pandemic. JCO Oncology Practice. 17(9). 534–540. 41 indexed citations
4.
Santos, Patricia Mae G., Luke Keele, Neil K. Taunk, et al.. (2021). Immediate Breast Reconstruction for Inflammatory Breast Cancer: Trends in Use and Clinical Outcomes 2004–2016. Annals of Surgical Oncology. 28(13). 8789–8801. 7 indexed citations
5.
Sreekumar, Sreeja, Kevin M. Levine, Matthew J. Sikora, et al.. (2020). Differential Regulation and Targeting of Estrogen Receptor α Turnover in Invasive Lobular Breast Carcinoma. Endocrinology. 161(9). 12 indexed citations
6.
Han, Min, Li Zhu, Huina Zhang, et al.. (2019). Metaplastic breast carcinoma: a clinical-pathologic study of 97 cases with subset analysis of response to neoadjuvant chemotherapy. Modern Pathology. 32(6). 807–816. 54 indexed citations
7.
Koleck, Theresa A., Catherine M. Bender, Susan M. Sereika, et al.. (2017). Associations between pathologic tumor features and preadjuvant therapy cognitive performance in women diagnosed with breast cancer. Cancer Medicine. 6(2). 339–348. 10 indexed citations
8.
Farrugia, Daniel J., Li Zhu, Emilia J. Diego, et al.. (2017). Magee Equation 3 predicts pathologic response to neoadjuvant systemic chemotherapy in estrogen receptor positive, HER2 negative/equivocal breast tumors. Modern Pathology. 30(8). 1078–1085. 27 indexed citations
9.
Mohamed, Aly A., Yahong Luo, Hong Peng, Rachel C. Jankowitz, & Shandong Wu. (2017). Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective. Journal of Digital Imaging. 31(4). 387–392. 41 indexed citations
10.
Wu, Shandong, Margarita L. Zuley, Wendie A. Berg, et al.. (2017). DCE-MRI Background Parenchymal Enhancement Quantified from an Early versus Delayed Post-contrast Sequence: Association with Breast Cancer Presence. Scientific Reports. 7(1). 2115–2115. 20 indexed citations
11.
Mathew, Aju, Padma Sheila Rajagopal, Gurprataap Singh Sandhu, et al.. (2017). Distinct Pattern of Metastases in Patients with Invasive Lobular Carcinoma of the Breast. Geburtshilfe und Frauenheilkunde. 77(6). 660–666. 71 indexed citations
12.
Bender, Catherine M., Amanda Gentry, Adam Brufsky, et al.. (2014). Influence of Patient and Treatment Factors on Adherence to Adjuvant Endocrine Therapy in Breast Cancer. Oncology nursing forum. 41(3). 274–285. 103 indexed citations
13.
Zhang, Yi, Catherine A. Schnabel, Brock E. Schroeder, et al.. (2013). Breast Cancer Index Identifies Early-Stage Estrogen Receptor–Positive Breast Cancer Patients at Risk for Early- and Late-Distant Recurrence. Clinical Cancer Research. 19(15). 4196–4205. 163 indexed citations
14.
Jankowitz, Rachel C., Kandace P. McGuire, & Nancy E. Davidson. (2013). Optimal systemic therapy for premenopausal women with hormone receptor-positive breast cancer. The Breast. 22. S165–S170. 18 indexed citations
15.
Klein, Molly, David J. Dabbs, Yongli Shuai, et al.. (2013). Prediction of the Oncotype DX recurrence score: use of pathology-generated equations derived by linear regression analysis. Modern Pathology. 26(5). 658–664. 141 indexed citations
16.
Jankowitz, Rachel C. & Adam Brufsky. (2012). Adjuvant treatment of HER2-positive breast cancer: winning efforts continue to improve HER2-positive patient outcome long-term. Breast Cancer Research. 14(2). 308–308. 3 indexed citations
17.
Thull, Darcy L., et al.. (2012). A multidisciplinary clinic for individualizing management of patients at increased risk for breast and gynecologic cancer. Familial Cancer. 11(3). 419–427. 17 indexed citations
18.
Singh, Shivendra V., Sung Hoon Kim, Anuradha Sehrawat, et al.. (2012). Biomarkers of Phenethyl Isothiocyanate-Mediated Mammary Cancer Chemoprevention in a Clinically Relevant Mouse Model. JNCI Journal of the National Cancer Institute. 104(16). 1228–1239. 24 indexed citations
19.
Huang, Yi, Shweta Nayak, Rachel C. Jankowitz, Nancy E. Davidson, & Steffi Oesterreich. (2011). Epigenetics in breast cancer: what's new?. Breast Cancer Research. 13(6). 225–225. 99 indexed citations
20.
Jankowitz, Rachel C., Judith M. Joyce, & Samuel A. Jacobs. (2008). Anaphylaxis After Administration of Ibritumomab Tiuxetan for Follicular Non-Hodgkin Lymphoma. Clinical Nuclear Medicine. 33(2). 94–96. 15 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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