Danielle Carroll

1.9k total citations
34 papers, 1.3k citations indexed

About

Danielle Carroll is a scholar working on Oncology, Genetics and Molecular Biology. According to data from OpenAlex, Danielle Carroll has authored 34 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 13 papers in Genetics and 12 papers in Molecular Biology. Recurrent topics in Danielle Carroll's work include Virus-based gene therapy research (11 papers), HER2/EGFR in Cancer Research (5 papers) and Virology and Viral Diseases (4 papers). Danielle Carroll is often cited by papers focused on Virus-based gene therapy research (11 papers), HER2/EGFR in Cancer Research (5 papers) and Virology and Viral Diseases (4 papers). Danielle Carroll collaborates with scholars based in United States, United Kingdom and Spain. Danielle Carroll's co-authors include Joan S. Brugge, Jason S. Carroll, Myles Brown, Chee‐Onn Leong, Leif W. Ellisen, Alea A. Mills, Fang Cheng, Kornélia Polyák, Craig Allred and Min Hu and has published in prestigious journals such as Journal of Clinical Oncology, Nature Cell Biology and Cancer Cell.

In The Last Decade

Danielle Carroll

31 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Carroll United States 17 659 631 250 229 136 34 1.3k
Genrich V. Tolstonog Germany 24 400 0.6× 845 1.3× 173 0.7× 125 0.5× 69 0.5× 45 1.4k
Jude Canon United States 21 572 0.9× 753 1.2× 126 0.5× 92 0.4× 149 1.1× 45 1.2k
Nike Beaubier United States 11 488 0.7× 325 0.5× 173 0.7× 235 1.0× 110 0.8× 16 986
René Overmeer Netherlands 16 925 1.4× 1.5k 2.4× 531 2.1× 237 1.0× 35 0.3× 23 2.2k
Irene M. Min United States 19 658 1.0× 1.0k 1.6× 145 0.6× 247 1.1× 75 0.6× 42 1.8k
Maddalena Arigoni Italy 24 267 0.4× 789 1.3× 431 1.7× 107 0.5× 69 0.5× 65 1.4k
Arianna Palladini Italy 18 459 0.7× 439 0.7× 131 0.5× 152 0.7× 169 1.2× 48 964
Geulah Livshits United States 13 433 0.7× 877 1.4× 185 0.7× 186 0.8× 63 0.5× 18 1.5k
Ángel M. Cuesta Spain 20 292 0.4× 631 1.0× 174 0.7× 108 0.5× 344 2.5× 39 1.1k
Aleksandra Dakic United States 10 369 0.6× 555 0.9× 186 0.7× 109 0.5× 35 0.3× 17 1.1k

Countries citing papers authored by Danielle Carroll

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Carroll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Carroll

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Carroll. A scholar is included among the top collaborators of Danielle Carroll 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 Danielle Carroll. Danielle Carroll 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.
Sung, Matthew, Matthew E. Wilson, Dominik Vonficht, et al.. (2025). Abstract 7149: The role of TROP2 in the MoA of Dato-DXd and how it underpins the biologic rationale of the novel AI-guided biomarker TROP2 normalized membrane ratio. Cancer Research. 85(8_Supplement_1). 7149–7149.
2.
Brieu, Nicolas, Anatoliy Shumilov, Armin Meier, et al.. (2024). HER2 quantitative continuous scoring for accurate patient selection in HER2 negative trastuzumab deruxtecan treated breast cancer. Scientific Reports. 14(1). 12129–12129. 16 indexed citations
3.
Paz‐Ares, Luis, Aaron Lisberg, Melissa Johnson, et al.. (2024). PL02.11 Normalized Membrane Ratio of TROP2 by Quantitative Continuous Scoring is Predictive of Clinical Outcomes in TROPION-Lung 01. Journal of Thoracic Oncology. 19(10). S2–S3. 23 indexed citations
4.
Failmezger, Henrik, Jessica Chan, Anatoliy Shumilov, et al.. (2023). Computational pathology–based HER2 quantification to identify novel biomarkers in gastric cancer (GC).. Journal of Clinical Oncology. 41(4_suppl). 449–449. 1 indexed citations
5.
Shumilov, Anatoliy, et al.. (2023). Abstract P6-04-03: Computational pathology based HER2 expression quantification in HER2-low breast cancer. Cancer Research. 83(5_Supplement). P6–4. 2 indexed citations
6.
Garrido-Castro, Ana C., Jorge Gómez Tejeda Zañudo, José‐Tomás Navarro, et al.. (2023). 475P Dynamics of TROP2 expression in triple-negative breast cancer. Annals of Oncology. 34. S380–S381. 1 indexed citations
7.
Ho, Alan L., Marek Dedecjus, Lori J. Wirth, et al.. (2022). Selumetinib Plus Adjuvant Radioactive Iodine in Patients With High-Risk Differentiated Thyroid Cancer: A Phase III, Randomized, Placebo-Controlled Trial (ASTRA). Journal of Clinical Oncology. 40(17). 1870–1878. 37 indexed citations
8.
Vaclová, Tereza, Atanu Chakraborty, James Sherwood, et al.. (2022). Concomitant KRAS mutations attenuate sensitivity of non-small cell lung cancer cells to KRAS G12C inhibition. Scientific Reports. 12(1). 2699–2699. 8 indexed citations
9.
Carnevalli, Larissa S., Molly A. Taylor, Matthew King, et al.. (2021). Macrophage Activation Status Rather than Repolarization Is Associated with Enhanced Checkpoint Activity in Combination with PI3Kγ Inhibition. Molecular Cancer Therapeutics. 20(6). 1080–1091. 14 indexed citations
10.
Harper, James A., Shannon Burke, Jon Travers, et al.. (2021). Recombinant Newcastle Disease Virus Immunotherapy Drives Oncolytic Effects and Durable Systemic Antitumor Immunity. Molecular Cancer Therapeutics. 20(9). 1723–1734. 10 indexed citations
11.
12.
Burke, Shannon, Matthew J. Elder, Xing Cheng, et al.. (2020). Oncolytic Newcastle disease virus activation of the innate immune response and priming of antitumor adaptive responses in vitro. Cancer Immunology Immunotherapy. 69(6). 1015–1027. 42 indexed citations
13.
14.
Cheng, Xing, Weijia Wang, Qi Xu, et al.. (2016). Genetic Modification of Oncolytic Newcastle Disease Virus for Cancer Therapy. Journal of Virology. 90(11). 5343–5352. 48 indexed citations
15.
Galons, Jean-Philippe, Marilyn T. Marron, Alison Stopeck, et al.. (2015). Automated Breast Segmentation of Fat and Water MR Images Using Dynamic Programming. Academic Radiology. 22(2). 139–148. 31 indexed citations
16.
Rossant, Christine, Danielle Carroll, Ling Huang, et al.. (2014). Phage display and hybridoma generation of antibodies to human CXCR2 yields antibodies with distinct mechanisms and epitopes. mAbs. 6(6). 1425–1438. 26 indexed citations
17.
Hu, Min, Jun Yao, Danielle Carroll, et al.. (2008). Regulation of In Situ to Invasive Breast Carcinoma Transition. Cancer Cell. 13(5). 394–406. 381 indexed citations
18.
Morse, David L., Danielle Carroll, Sam E. Day, et al.. (2008). Characterization of breast cancers and therapy response by MRS and quantitative gene expression profiling in the choline pathway. NMR in Biomedicine. 22(1). 114–127. 38 indexed citations
19.
Carroll, Danielle, Joan S. Brugge, & Laura D. Attardi. (2007). p63, Cell Adhesion and Survival. Cell Cycle. 6(3). 255–261. 39 indexed citations
20.

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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Breakdown of academic impact, for papers by Genrich V. Tolstonog Breakdown of academic impact, for papers by Jude Canon Breakdown of academic impact, for papers by Nike Beaubier Breakdown of academic impact, for papers by René Overmeer Breakdown of academic impact, for papers by Irene M. Min Breakdown of academic impact, for papers by Maddalena Arigoni Breakdown of academic impact, for papers by Arianna Palladini Breakdown of academic impact, for papers by Geulah Livshits Breakdown of academic impact, for papers by Ángel M. Cuesta Breakdown of academic impact, for papers by Aleksandra Dakic
Rankless by CCL
2026