Denise M. Wolf

26.4k total citations · 3 hit papers
94 papers, 4.3k citations indexed

About

Denise M. Wolf is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Denise M. Wolf has authored 94 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Oncology, 46 papers in Cancer Research and 30 papers in Molecular Biology. Recurrent topics in Denise M. Wolf's work include Cancer Genomics and Diagnostics (27 papers), Breast Cancer Treatment Studies (20 papers) and HER2/EGFR in Cancer Research (17 papers). Denise M. Wolf is often cited by papers focused on Cancer Genomics and Diagnostics (27 papers), Breast Cancer Treatment Studies (20 papers) and HER2/EGFR in Cancer Research (17 papers). Denise M. Wolf collaborates with scholars based in United States, Netherlands and Belgium. Denise M. Wolf's co-authors include Adam P. Arkin, Christopher V. Rao, Matthew F. Krummel, Mikhail Binnewies, Amanda E. Nelson, Miranda L. Broz, Vijay V. Vazirani, Laura J. van’t Veer, Tsuneyasu Kaisho and Dusan Bogunovic and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Denise M. Wolf

83 papers receiving 4.2k citations

Hit Papers

align trajectories

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.

Dissecting the Tumor Myeloid Compartment Reveals Rare Activating Antigen-Presenting Cells Critical for T Cell Immunity

2014 889 citations Miranda L. Broz, Mikhail Binnewies et al. Cancer Cell profile →
Control, exploitation and tolerance of intracellular noise

2002 741 citations Denise M. Wolf, Adam P. Arkin et al. profile →
Critical Role for CD103+/CD141+ Dendritic Cells Bearing CCR7 for Tumor Antigen Trafficking and Priming of T Cell Immunity in Melanoma

2016 729 citations Miranda L. Broz, Mikhail Binnewies et al. Cancer Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Denise M. Wolf United States	28	2.1k	1.7k	1.6k	690	495	94	4.3k
Vladimir A. Kuznetsov Singapore	35	4.0k 1.9×	914 0.5×	795 0.5×	555 0.8×	1.1k 2.3×	101	5.9k
Rizwan Haq United States	24	1.8k 0.9×	1.2k 0.7×	593 0.4×	255 0.4×	462 0.9×	60	3.0k
Galit Lahav United States	37	5.8k 2.8×	2.5k 1.5×	417 0.3×	420 0.6×	842 1.7×	62	7.3k
John G. Albeck United States	29	3.7k 1.8×	661 0.4×	570 0.4×	241 0.3×	612 1.2×	55	4.8k
Julien Mozziconacci France	43	4.7k 2.3×	637 0.4×	670 0.4×	844 1.2×	408 0.8×	147	7.1k
Katia Basso United States	39	5.7k 2.7×	1.8k 1.1×	2.2k 1.4×	470 0.7×	1.5k 2.9×	71	9.2k
Tomer Kalisky Israel	27	1.6k 0.8×	571 0.3×	299 0.2×	349 0.5×	388 0.8×	53	2.9k
Hannah Carter United States	31	2.6k 1.2×	945 0.6×	629 0.4×	880 1.3×	1.3k 2.6×	95	4.4k
Magnus Johansson Sweden	29	1.6k 0.8×	887 0.5×	958 0.6×	574 0.8×	237 0.5×	68	3.3k
Joshua Gould United States	12	2.7k 1.3×	1.2k 0.7×	601 0.4×	152 0.2×	810 1.6×	17	4.1k

Countries citing papers authored by Denise M. Wolf

Since Specialization

Citations

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

Fields of papers citing papers by Denise M. Wolf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Denise M. Wolf. 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 Denise M. Wolf. The network helps show where Denise M. Wolf may publish in the future.

Co-authorship network of co-authors of Denise M. Wolf

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

All Works

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20 of 20 papers shown

Petricoin, Emanuel F., Denise M. Wolf, Christina Yau, et al.. (2025). Immune and Growth Factor Signaling Pathways Are Associated with Pathologic Complete Response to an Anti–Type I Insulin-like Growth Factor Receptor Regimen in Patients with Breast Cancer. Clinical Cancer Research. 31(20). 4361–4371.

Li, Wen, Natsuko Onishi, Jessica Gibbs, et al.. (2025). MRI-Based Model for Personalizing Neoadjuvant Treatment in Breast Cancer. Tomography. 11(3). 26–26.

Thomas, Alexandra, Denise M. Wolf, Ronald Balassanian, et al.. (2024). Therapeutic response and outcomes with uncommon breast cancer subtypes in the I-SPY trial 2010-2022.. Journal of Clinical Oncology. 42(23_suppl). 1–1. 1 indexed citations

Magbanua, Mark Jesus M., Rosalyn W. Sayaman, Lamorna Brown Swigart, et al.. (2024). Cell-free DNA Concentration as a Biomarker of Response and Recurrence in HER2-Negative Breast Cancer Receiving Neoadjuvant Chemotherapy. Clinical Cancer Research. 30(11). 2444–2451. 2 indexed citations

Steenbruggen, Tessa G., Denise M. Wolf, Bram Thijssen, et al.. (2023). Characterization of the Tumor Microenvironment of De Novo Oligometastatic Breast Cancer in a Nationwide Cohort. JCO Precision Oncology. 7(7). e2200670–e2200670. 1 indexed citations

Jacob, Saya, Hongmei Yu, Denise M. Wolf, et al.. (2023). Use of PROMIS to capture patient reported outcomes over time for patients on I-SPY2.. Journal of Clinical Oncology. 41(16_suppl). 611–611.

Thomas, Alexandra, Amy S. Clark, Christina Yau, et al.. (2022). Molecular subtype to predict pathologic complete response in HER2-positive breast cancer in the I-SPY2 trial.. Journal of Clinical Oncology. 40(16_suppl). 510–510. 1 indexed citations

Olow, Aleksandra, Laura van ‘t Veer, & Denise M. Wolf. (2021). Toward developing a metastatic breast cancer treatment strategy that incorporates history of response to previous treatments. BMC Cancer. 21(1). 2 indexed citations

Magbanua, Mark Jesus M., Wen Li, Denise M. Wolf, et al.. (2021). Circulating tumor DNA and magnetic resonance imaging to predict neoadjuvant chemotherapy response and recurrence risk. npj Breast Cancer. 7(1). 32–32. 33 indexed citations

10.

Sayaman, Rosalyn W., Denise M. Wolf, Christina Yau, et al.. (2020). Abstract P1-21-08: Application of machine learning to elucidate the biology predicting response in the I-SPY 2 neoadjuvant breast cancer trial. Cancer Research. 80(4_Supplement). P1–21. 1 indexed citations

11.

Magbanua, Mark Jesus M., Christina Yau, Denise M. Wolf, et al.. (2019). Synchronous Detection of Circulating Tumor Cells in Blood and Disseminated Tumor Cells in Bone Marrow Predicts Adverse Outcome in Early Breast Cancer. Clinical Cancer Research. 25(17). 5388–5397. 21 indexed citations

12.

Yu, Katharine, Bin Chen, Dvir Aran, et al.. (2019). Comprehensive transcriptomic analysis of cell lines as models of primary tumors across 22 tumor types. Nature Communications. 10(1). 3574–3574. 101 indexed citations

13.

Magbanua, Mark Jesus M., Hope S. Rugo, Denise M. Wolf, et al.. (2018). Expanded Genomic Profiling of Circulating Tumor Cells in Metastatic Breast Cancer Patients to Assess Biomarker Status and Biology Over Time (CALGB 40502 and CALGB 40503, Alliance). Clinical Cancer Research. 24(6). 1486–1499. 36 indexed citations

14.

Olow, Aleksandra, Zhongzhong Chen, R Niedner, et al.. (2016). An Atlas of the Human Kinome Reveals the Mutational Landscape Underlying Dysregulated Phosphorylation Cascades in Cancer. Cancer Research. 76(7). 1733–1745. 14 indexed citations

15.

Veer, Laura van’t, Laura Esserman, Ashish Sanil, et al.. (2015). DNA repair deficiency biomarkers and identification of ER-positive breast cancer patients who may benefit from veliparib/carboplatin: Results from the I-SPY 2 trial.. Journal of Clinical Oncology. 1 indexed citations

16.

Broz, Miranda L., Mikhail Binnewies, Bijan Boldajipour, et al.. (2014). Dissecting the Tumor Myeloid Compartment Reveals Rare Activating Antigen-Presenting Cells Critical for T Cell Immunity. Cancer Cell. 26(6). 938–938. 114 indexed citations

17.

Mittempergher, Lorenza, Mahasti Saghatchian, Denise M. Wolf, et al.. (2013). A gene signature for late distant metastasis in breast cancer identifies a potential mechanism of late recurrences. Molecular Oncology. 7(5). 987–999. 38 indexed citations

18.

Wolf, Denise M., et al.. (2008). Memory in Microbes: Quantifying History-Dependent Behavior in a Bacterium. PLoS ONE. 3(2). e1700–e1700. 3 indexed citations

19.

Wolf, Denise M., Vijay V. Vazirani, & Adam P. Arkin. (2005). A microbial modified prisoner's dilemma game: how frequency-dependent selection can lead to random phase variation. Journal of Theoretical Biology. 234(2). 255–262. 35 indexed citations

20.

Wolf, Denise M., et al.. (2000). Automatic discovery of sub-molecular sequence domains in multi-aligned \nsequences: A dynamic programming algorithm for multiple alignment \nsegmentation. eScholarship (California Digital Library). 2 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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