Nolan A. Wages

1.9k total citations
96 papers, 1.2k citations indexed

About

Nolan A. Wages is a scholar working on Statistics and Probability, Oncology and Management Science and Operations Research. According to data from OpenAlex, Nolan A. Wages has authored 96 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Statistics and Probability, 27 papers in Oncology and 24 papers in Management Science and Operations Research. Recurrent topics in Nolan A. Wages's work include Statistical Methods in Clinical Trials (46 papers), Optimal Experimental Design Methods (24 papers) and Immunotherapy and Immune Responses (14 papers). Nolan A. Wages is often cited by papers focused on Statistical Methods in Clinical Trials (46 papers), Optimal Experimental Design Methods (24 papers) and Immunotherapy and Immune Responses (14 papers). Nolan A. Wages collaborates with scholars based in United States, France and Qatar. Nolan A. Wages's co-authors include Mark R. Conaway, John O’Quigley, Craig L. Slingluff, Gina R. Petroni, Christopher Tait, Ileana S. Mauldin, Nikole Varhegyi, Donna H. Deacon, Mark E. Smolkin and Samuel Young and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Nolan A. Wages

88 papers receiving 1.2k citations

Peers

Nolan A. Wages
Ruitao Lin United States
Hoang Q. Nguyen United States
Mark D. Rothmann United States
John D. Cook United States
J. Kyle Wathen United States
Jianchang Lin United States
Chris Harbron United Kingdom
Akihiro Hirakawa Japan
Martin Jenkins United Kingdom
DA Berry United States
Ruitao Lin United States
Nolan A. Wages
Citations per year, relative to Nolan A. Wages Nolan A. Wages (= 1×) peers Ruitao Lin

Countries citing papers authored by Nolan A. Wages

Since Specialization
Citations

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

Fields of papers citing papers by Nolan A. Wages

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nolan A. Wages. 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 Nolan A. Wages. The network helps show where Nolan A. Wages may publish in the future.

Co-authorship network of co-authors of Nolan A. Wages

This figure shows the co-authorship network connecting the top 25 collaborators of Nolan A. Wages. A scholar is included among the top collaborators of Nolan A. Wages 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 Nolan A. Wages. Nolan A. Wages 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.
Caillaud, Martial, Wisam Toma, Michael D. Burton, et al.. (2025). Paclitaxel-induced neuroinflammation after systemic administration in male and female mice. Journal of Pain. 35. 105510–105510.
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Thall, Peter F., Elizabeth Garrett‐Mayer, Nolan A. Wages, Susan Halabi, & Ying Kuen Cheung. (2024). Current issues in dose-finding designs: A response to the US Food and Drug Adminstration’s Oncology Center of Excellence Project Optimus. Clinical Trials. 21(3). 267–272. 4 indexed citations
4.
Obeid, Joseph M., Ileana S. Mauldin, Ryan D. Gentzler, et al.. (2024). Spatial colocalization and combined survival benefit of natural killer and CD8 T cells despite profound MHC class I loss in non-small cell lung cancer. Journal for ImmunoTherapy of Cancer. 12(9). e009126–e009126. 3 indexed citations
5.
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Murray, Graeme, et al.. (2023). The Impact of Delayed Venetoclax Initiation on Overall Survival in Acute Myeloid Leukemia. Blood. 142(Supplement 1). 4233–4233. 1 indexed citations
7.
Yan, Fangrong, et al.. (2023). Local continual reassessment methods for dose finding and optimization in drug-combination trials. Statistical Methods in Medical Research. 32(10). 2049–2063. 1 indexed citations
8.
Murray, Graeme, et al.. (2023). Venetoclax with decitabine or azacitidine in the first‐line treatment of acute myeloid leukemia. SHILAP Revista de lepidopterología. 4(2). 381–392. 14 indexed citations
9.
Murray, Graeme, et al.. (2023). The impact of secondary-type mutations in newly diagnosed acute myeloid leukemia treated with venetoclax and decitabine or azacitidine.. Journal of Clinical Oncology. 41(16_suppl). e19048–e19048. 1 indexed citations
10.
Murray, Graeme, et al.. (2023). Clinical outcomes of core binding factor acute myeloid leukemia in the modern era.. Journal of Clinical Oncology. 41(16_suppl). e19054–e19054. 1 indexed citations
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Wages, Nolan A., et al.. (2022). Application of the patient-reported outcomes continual reassessment method to a phase I study of radiotherapy in endometrial cancer. The International Journal of Biostatistics. 19(1). 163–176. 8 indexed citations
13.
O’Connell, Nathaniel S., Nolan A. Wages, & Elizabeth Garrett‐Mayer. (2022). Quasi-Partial Order Continual Reassessment Method: Applying Toxicity Scores to Cancer Dose-Finding Drug Combination Trials. SSRN Electronic Journal. 1 indexed citations
14.
Wang, Kyle, et al.. (2022). Relationship of dose to vascular target volumes and local failure in pancreatic cancer patients undergoing neoadjuvant chemoradiation. Frontiers in Oncology. 12. 906484–906484. 2 indexed citations
15.
Wages, Nolan A., et al.. (2020). Efficient dose-finding for drug combination studies involving a shift in study populations. Contemporary Clinical Trials Communications. 17. 100519–100519. 2 indexed citations
16.
Wages, Nolan A., Sunil W. Dutta, Quan Chen, et al.. (2020). STAT RAD: Prospective Dose Escalation Clinical Trial of Single Fraction Scan-Plan-QA-Treat Stereotactic Body Radiation Therapy for Painful Osseous Metastases. Practical Radiation Oncology. 10(6). e444–e451. 11 indexed citations
17.
Obeid, Joseph M., Nolan A. Wages, Yinin Hu, Donna H. Deacon, & Craig L. Slingluff. (2016). Heterogeneity of CD8+ tumor-infiltrating lymphocytes in non-small-cell lung cancer: impact on patient prognostic assessments and comparison of quantification by different sampling strategies. Cancer Immunology Immunotherapy. 66(1). 33–43. 33 indexed citations
18.
Wages, Nolan A., et al.. (2015). Tubular carcinoma of the breast: Institutional and SEER database analysis supporting a unique classification. Breast Disease. 35(2). 103–111. 10 indexed citations
19.
Showalter, Timothy N., Nolan A. Wages, & Nitin Ohri. (2014). Strategic evaluation of interventions to prevent consequential late proctitis after prostate radiation therapy. Cancer Biology & Therapy. 15(4). 361–364. 1 indexed citations
20.
Wages, Nolan A., Lei Liu, John O’Quigley, & Bankole A. Johnson. (2012). Obtaining the Optimal Dose in Alcohol Dependence Studies. Frontiers in Psychiatry. 3. 100–100. 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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