Nike Beaubier

2.2k total citations · 1 hit paper
16 papers, 986 citations indexed

About

Nike Beaubier is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Nike Beaubier has authored 16 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 8 papers in Cancer Research and 7 papers in Molecular Biology. Recurrent topics in Nike Beaubier's work include Cancer Genomics and Diagnostics (7 papers), Gastric Cancer Management and Outcomes (3 papers) and Genomics and Rare Diseases (2 papers). Nike Beaubier is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Gastric Cancer Management and Outcomes (3 papers) and Genomics and Rare Diseases (2 papers). Nike Beaubier collaborates with scholars based in United States, Italy and Australia. Nike Beaubier's co-authors include Gordana Vlahovic, Roger E. McLendon, W.T.A. Harrison, Andrea Muscat, Frances McSherry, Dina Randazzo, Henry S. Friedman, Matthias Gromeier, Katherine B. Peters and John H. Sampson and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and The American Journal of Surgical Pathology.

In The Last Decade

Nike Beaubier

15 papers receiving 969 citations

Hit Papers

Recurrent Glioblastoma Treated with Recombinant Poliovirus 2018 2026 2020 2023 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nike Beaubier United States 11 488 325 247 235 207 16 986
Aaron Bossler United States 21 353 0.7× 492 1.5× 162 0.7× 147 0.6× 263 1.3× 53 1.4k
Arianna Palladini Italy 18 459 0.9× 439 1.4× 47 0.2× 152 0.6× 287 1.4× 48 964
Danielle Carroll United States 17 659 1.4× 631 1.9× 28 0.1× 229 1.0× 99 0.5× 34 1.3k
Samuli Eldfors Finland 16 239 0.5× 403 1.2× 252 1.0× 114 0.5× 255 1.2× 41 1.0k
Russell J.H. Ryan United States 15 450 0.9× 839 2.6× 106 0.4× 60 0.3× 535 2.6× 29 1.6k
Christopher R. Zito United States 17 745 1.5× 542 1.7× 124 0.5× 111 0.5× 279 1.3× 29 1.3k
John S. Van Arnam United States 11 115 0.2× 266 0.8× 258 1.0× 86 0.4× 89 0.4× 16 739
Christopher Alvarez‐Breckenridge United States 18 531 1.1× 369 1.1× 221 0.9× 348 1.5× 333 1.6× 52 1.2k
Anny Shai United States 13 264 0.5× 431 1.3× 67 0.3× 145 0.6× 133 0.6× 19 965
Andreas Roller Germany 16 1.0k 2.1× 589 1.8× 445 1.8× 60 0.3× 867 4.2× 33 2.1k

Countries citing papers authored by Nike Beaubier

Since Specialization
Citations

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

Fields of papers citing papers by Nike Beaubier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nike Beaubier

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

All Works

16 of 16 papers shown
1.
Lo, Christine, Wei Zhu, Terri M. Driessen, et al.. (2025). Analytical Validation of Next-Generation Sequencing–Based Comprehensive Liquid Biopsy Assay for Therapy Selection. Journal of Molecular Diagnostics. 27(5). 383–394.
2.
Hu, Qiyuan, Abbas Rizvi, Aïcha BenTaieb, et al.. (2024). Development and validation of a deep learning-based microsatellite instability predictor from prostate cancer whole-slide images. npj Precision Oncology. 8(1). 88–88. 5 indexed citations
3.
Mulcahy, Mary F., Halla Nimeiri, Osama E. Rahma, et al.. (2023). Real-world outcome analysis of patients with advanced gastric and gastroesophageal adenocarcinoma with HER2-low expression treated with first-line therapy.. Journal of Clinical Oncology. 41(4_suppl). 326–326. 2 indexed citations
4.
Michuda, Jackson, Alessandra Breschi, Catherine Igartua, et al.. (2023). Validation of a Transcriptome-Based Assay for Classifying Cancers of Unknown Primary Origin. Molecular Diagnosis & Therapy. 27(4). 499–511. 18 indexed citations
5.
Dougherty, Bonnie V., Joshua S. K. Bell, Jackson Michuda, et al.. (2022). Validation of genomic and transcriptomic models of homologous recombination deficiency in a real-world pan-cancer cohort. BMC Cancer. 22(1). 587–587. 28 indexed citations
6.
Driessen, Terri M., Christine Lo, Richard Blidner, et al.. (2021). Validation of a liquid biopsy assay with molecular and clinical profiling of circulating tumor DNA. npj Precision Oncology. 5(1). 63–63. 37 indexed citations
7.
Epstein, Caroline G., Alexandria M. Bobe, Joshua S. K. Bell, et al.. (2020). Real-world Evidence of Diagnostic Testing and Treatment Patterns in US Patients With Breast Cancer With Implications for Treatment Biomarkers From RNA Sequencing Data. Clinical Breast Cancer. 21(4). e340–e361. 10 indexed citations
8.
Parikh, Kaushal, Robert Huether, Kevin P. White, et al.. (2020). Tumor Mutational Burden From Tumor-Only Sequencing Compared With Germline Subtraction From Paired Tumor and Normal Specimens. JAMA Network Open. 3(2). e200202–e200202. 31 indexed citations
9.
Tell, Robert, et al.. (2020). Greater than two coexisting mutations in KRAS and NRAS identified in the circulating tumor DNA fraction of liquid biopsies by NGS and confirmed with ddPCR.. Journal of Clinical Oncology. 38(15_suppl). e15563–e15563. 1 indexed citations
10.
Shi, Katherine, Bin Zhang, Betty Y. Kong, et al.. (2019). Distinct genomic features in a retrospective cohort of mucosal, acral, and vulvovaginal melanomas. Journal of the American Academy of Dermatology. 88(5). 1051–1059. 18 indexed citations
11.
Tan, Timothy L., et al.. (2019). Multi-Field-of-View Deep Learning Model Predicts Nonsmall Cell Lung Cancer Programmed Death-Ligand 1 Status from Whole-Slide Hematoxylin and Eosin Images. Journal of Pathology Informatics. 10(1). 24–24. 86 indexed citations
12.
VandenBoom, Timothy, Victor L. Quan, Bin Zhang, et al.. (2018). Genomic Fusions in Pigmented Spindle Cell Nevus of Reed. The American Journal of Surgical Pathology. 42(8). 1042–1051. 55 indexed citations
13.
Desjardins, Annick, Matthias Gromeier, James E. Herndon, et al.. (2018). Recurrent Glioblastoma Treated with Recombinant Poliovirus. New England Journal of Medicine. 379(2). 150–161. 582 indexed citations breakdown →
14.
Gunturu, Krishna S., Yanghee Woo, Nike Beaubier, Helen Remotti, & Muhammad Wasif Saif. (2013). Gastric cancer and trastuzumab: first biologic therapy in gastric cancer. Therapeutic Advances in Medical Oncology. 5(2). 143–151. 64 indexed citations
15.
Beaubier, Nike, et al.. (2012). Correlation Between HER2 Immunohistochemisty and FISH in Gastric Adenocarcinomas. American Journal of Clinical Pathology. 138(suppl_1). A100–A100. 1 indexed citations
16.
Slack, James L., Kenneth J. Livak, Nike Beaubier, et al.. (2001). Pre-Clinical Validation of a Novel, Highly Sensitive Assay to Detect PML-RARα mRNA Using Real-Time Reverse-Transcription Polymerase Chain Reaction. Journal of Molecular Diagnostics. 3(4). 141–149. 48 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026