Samuel Whipple

467 total citations · 1 hit paper
9 papers, 312 citations indexed

About

Samuel Whipple is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Statistics and Probability. According to data from OpenAlex, Samuel Whipple has authored 9 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 2 papers in Oncology and 2 papers in Statistics and Probability. Recurrent topics in Samuel Whipple's work include Lung Cancer Treatments and Mutations (4 papers), Cancer Genomics and Diagnostics (2 papers) and Statistical Methods in Clinical Trials (2 papers). Samuel Whipple is often cited by papers focused on Lung Cancer Treatments and Mutations (4 papers), Cancer Genomics and Diagnostics (2 papers) and Statistical Methods in Clinical Trials (2 papers). Samuel Whipple collaborates with scholars based in United States, Italy and France. Samuel Whipple's co-authors include Brandon Arnieri, William B. Capra, Michael W. Lu, Ryan Copping, Shemra Rizzo, Ruishan Liu, Navdeep Pal, James Zou, Arturo López Pineda and Ying Lü and has published in prestigious journals such as Nature, Journal of Clinical Oncology and Clinical Pharmacology & Therapeutics.

In The Last Decade

Samuel Whipple

8 papers receiving 303 citations

Hit Papers

Evaluating eligibility criteria of oncology trials using ... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel Whipple United States 5 100 90 58 56 56 9 312
Ryan Copping United States 7 104 1.0× 95 1.1× 47 0.8× 43 0.8× 55 1.0× 9 355
Brandon Arnieri United States 6 117 1.2× 112 1.2× 140 2.4× 175 3.1× 71 1.3× 10 498
Arturo López Pineda United States 8 45 0.5× 52 0.6× 27 0.5× 23 0.4× 59 1.1× 16 366
G. Caleb Alexander United States 8 57 0.6× 169 1.9× 18 0.3× 28 0.5× 54 1.0× 11 391
Patrick Caubel United States 14 57 0.6× 78 0.9× 50 0.9× 22 0.4× 67 1.2× 41 530
Travis Osterman United States 11 18 0.2× 54 0.6× 59 1.0× 127 2.3× 106 1.9× 33 504
Grace Hsu Canada 7 70 0.7× 66 0.7× 72 1.2× 78 1.4× 19 0.3× 13 277
Melissa D. Curtis United States 6 49 0.5× 68 0.8× 217 3.7× 258 4.6× 30 0.5× 8 427
Hanzhe Zhang China 5 33 0.3× 81 0.9× 15 0.3× 20 0.4× 33 0.6× 8 273
Sharly J. Nass 3 30 0.3× 17 0.2× 37 0.6× 30 0.5× 25 0.4× 4 230

Countries citing papers authored by Samuel Whipple

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Whipple

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Whipple

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

All Works

9 of 9 papers shown
1.
Whipple, Samuel, et al.. (2024). HSR24-128: Real-World Treatment Patterns and Effectiveness of Selpercatinib in Patients With Locally Advanced/Metastatic Non–Small Cell Lung Cancer in the US. Journal of the National Comprehensive Cancer Network. 22(2.5). 1 indexed citations
3.
Smyth, Emily Nash, Samuel Whipple, Mark A. Guinter, et al.. (2024). Real-world treatment (Tx) sequences and time to discontinuation (rwTTD) in the first-line (1L) metastatic castration-resistant prostate cancer (mCRPC) setting.. Journal of Clinical Oncology. 42(4_suppl). 55–55.
4.
Liu, Ruishan, Shemra Rizzo, Samuel Whipple, et al.. (2021). Evaluating eligibility criteria of oncology trials using real-world data and AI. Nature. 592(7855). 629–633. 184 indexed citations breakdown →
5.
Carrigan, Gillis, Samuel Whipple, William B. Capra, et al.. (2019). Using Electronic Health Records to Derive Control Arms for Early Phase Single‐Arm Lung Cancer Trials: Proof‐of‐Concept in Randomized Controlled Trials. Clinical Pharmacology & Therapeutics. 107(2). 369–377. 72 indexed citations
6.
Carrigan, Gillis, Samuel Whipple, Michael D. Taylor, et al.. (2019). An evaluation of the impact of missing deaths on overall survival analyses of advanced non–small cell lung cancer patients conducted in an electronic health records database. Pharmacoepidemiology and Drug Safety. 28(5). 572–581. 43 indexed citations
7.
Pedrazzi, Simone, et al.. (2017). Application of OLTT in gasification power systems. International Journal of Heat and Technology. 35(4). 773–778. 4 indexed citations
8.
Cappelleri, Joseph C., et al.. (2016). MAPPING THE WESTERN ONTARIO AND MCMASTER UNIVERSITIES ARTHRITIS INDEX (WOMAC) TO THE EQ-5D. Value in Health. 19(3). A235–A236. 2 indexed citations
9.
Coyne, Karin S., Brooke M. Currie, Sean D. Donevan, et al.. (2016). Psychometric validation of the electronic chronic pain questions (eCPQ) in a primary care setting. Current Medical Research and Opinion. 33(1). 137–148. 4 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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