Daniel S. Peiffer

694 total citations · 1 hit paper
15 papers, 552 citations indexed

About

Daniel S. Peiffer is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Daniel S. Peiffer has authored 15 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Immunology. Recurrent topics in Daniel S. Peiffer's work include Estrogen and related hormone effects (3 papers), Breast Cancer Treatment Studies (3 papers) and HER2/EGFR in Cancer Research (3 papers). Daniel S. Peiffer is often cited by papers focused on Estrogen and related hormone effects (3 papers), Breast Cancer Treatment Studies (3 papers) and HER2/EGFR in Cancer Research (3 papers). Daniel S. Peiffer collaborates with scholars based in United States, United Kingdom and Italy. Daniel S. Peiffer's co-authors include Debra Wyatt, Clodia Osipo, Li-Shu Wang, Gary D. Stoner, Kiyoko Oshima, Yi‐Wen Huang, Kathy S. Albain, Noah P. Zimmerman, Benjamin W. Ransom and Chieh-Ti Kuo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Oncogene.

In The Last Decade

Daniel S. Peiffer

14 papers receiving 544 citations

Hit Papers

Clinicopathologic Characteristics and Prognosis of ERBB2-... 2023 2026 2024 2025 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Clinicopathologic Characteristics and Prognosis of ERBB2-Low Breast Cancer Among Patients in the National Cancer Database
    2023 86 citations Daniel S. Peiffer, Fangyuan Zhao et al. JAMA Oncology profile →

Peers

Daniel S. Peiffer
Almudena Chaves Perez United States
J. Wahler United States
Yonghong Meng United States
Jiateng Zhong China
Y C Wong Hong Kong
Abdul Basit Baba India
Itishree Kaushik United States
Samir Devalaraja United States
Suck‐Chei Choi South Korea
Deepak Poudyal United States
Almudena Chaves Perez United States
Daniel S. Peiffer
Citations per year, relative to Daniel S. Peiffer Daniel S. Peiffer (= 1×) peers Almudena Chaves Perez

Countries citing papers authored by Daniel S. Peiffer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Peiffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Peiffer. 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 Daniel S. Peiffer. The network helps show where Daniel S. Peiffer may publish in the future.

Co-authorship network of co-authors of Daniel S. Peiffer

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Peiffer. A scholar is included among the top collaborators of Daniel S. Peiffer 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 Daniel S. Peiffer. Daniel S. Peiffer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Peiffer, Daniel S., et al.. (2025). Adjuvant Chemotherapy Use for Hormone Receptor–Positive, ERBB2 -Negative Breast Cancer After RxPONDER Trial. JAMA Network Open. 8(12). e2549109–e2549109.
2.
Peiffer, Daniel S., Fangyuan Zhao, Nan Chen, et al.. (2023). Clinicopathologic Characteristics and Prognosis of ERBB2-Low Breast Cancer Among Patients in the National Cancer Database. JAMA Oncology. 9(4). 500–500. 86 indexed citations breakdown →
3.
Peiffer, Daniel S., Frederick M. Howard, Nan Chen, et al.. (2023). Abstract HER2-11: HER2-11 Epidemiology and Prognosis of HER2-Low Breast Cancer (BC) in the National Cancer Data Base (NCDB). Cancer Research. 83(5_Supplement). HER2–11. 1 indexed citations
4.
Peiffer, Daniel S., et al.. (2020). DAXX-inducing phytoestrogens inhibit ER+ tumor initiating cells and delay tumor development. npj Breast Cancer. 6(1). 37–37. 12 indexed citations
5.
Peiffer, Daniel S.. (2020). Modulation of the host microbiome by black raspberries or their components and the therapeutic implications in cancer. SHILAP Revista de lepidopterología. 1(3). 296–304. 5 indexed citations
6.
Peiffer, Daniel S., Debra Wyatt, Andrei Zlobin, et al.. (2019). DAXX Suppresses Tumor-Initiating Cells in Estrogen Receptor–Positive Breast Cancer Following Endocrine Therapy. Cancer Research. 79(19). 4965–4977. 32 indexed citations
7.
Fortini, Francesca, Francesco Vieceli Dalla Sega, Cristiana Caliceti, et al.. (2019). Estrogen-mediated protection against coronary heart disease: The role of the Notch pathway. The Journal of Steroid Biochemistry and Molecular Biology. 189. 87–100. 28 indexed citations
8.
Shah, Deep, Debra Wyatt, Andrew T. Baker, et al.. (2018). Inhibition of HER2 Increases JAGGED1-dependent Breast Cancer Stem Cells: Role for Membrane JAGGED1. Clinical Cancer Research. 24(18). 4566–4578. 33 indexed citations
9.
Baker, Andrew T., Debra Wyatt, Maurizio Bocchetta, et al.. (2018). Notch-1-PTEN-ERK1/2 signaling axis promotes HER2+ breast cancer cell proliferation and stem cell survival. Oncogene. 37(33). 4489–4504. 88 indexed citations
10.
Peiffer, Daniel S.. (2018). Preparing black raspberry components for their use as cancer therapeutics. Journal of Berry Research. 8(4). 297–306. 9 indexed citations
11.
Pan, Pan, Daniel S. Peiffer, Yi‐Wen Huang, et al.. (2018). Inhibition of the development of N-nitrosomethylbenzylamine-induced esophageal tumors in rats by strawberries and aspirin, alone and in combination. Journal of Berry Research. 8(2). 137–146. 17 indexed citations
12.
Thompson, Matthew G., et al.. (2017). FOXO3, estrogen receptor alpha, and androgen receptor impact tumor growth rate and infiltration of dendritic cell subsets differentially between male and female mice. Cancer Immunology Immunotherapy. 66(5). 615–625. 24 indexed citations
13.
Eby, Jonathan M., Hee-Kap Kang, Wendy Bindeman, et al.. (2015). CCL22 to Activate Treg Migration and Suppress Depigmentation in Vitiligo. Journal of Investigative Dermatology. 135(6). 1574–1580. 62 indexed citations
14.
Peiffer, Daniel S., Li-Shu Wang, Noah P. Zimmerman, et al.. (2015). Dietary Consumption of Black Raspberries or Their Anthocyanin Constituents Alters Innate Immune Cell Trafficking in Esophageal Cancer. Cancer Immunology Research. 4(1). 72–82. 52 indexed citations
15.
Peiffer, Daniel S., Noah P. Zimmerman, Li-Shu Wang, et al.. (2014). Chemoprevention of Esophageal Cancer with Black Raspberries, Their Component Anthocyanins, and a Major Anthocyanin Metabolite, Protocatechuic Acid. Cancer Prevention Research. 7(6). 574–584. 103 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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