Dale Miles

2.2k total citations
70 papers, 1.6k citations indexed

About

Dale Miles is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dale Miles has authored 70 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Oncology, 26 papers in Molecular Biology and 24 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dale Miles's work include Lymphoma Diagnosis and Treatment (14 papers), Chronic Lymphocytic Leukemia Research (12 papers) and CAR-T cell therapy research (9 papers). Dale Miles is often cited by papers focused on Lymphoma Diagnosis and Treatment (14 papers), Chronic Lymphocytic Leukemia Research (12 papers) and CAR-T cell therapy research (9 papers). Dale Miles collaborates with scholars based in United States, France and Australia. Dale Miles's co-authors include Linh T. Nguyen, Steven Lacy, Richard A. Miller, Patricia LoRusso, Kathryn W. Woodburn, Darren Magda, Chunze Li, Geoffrey I. Shapiro, Stuart W. Young and Harold Keer and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and Blood.

In The Last Decade

Dale Miles

70 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dale Miles United States 23 663 635 575 223 171 70 1.6k
Gerald J. Fetterly United States 24 901 1.4× 609 1.0× 378 0.7× 81 0.4× 98 0.6× 88 1.9k
Muhammad Wasif Saif United States 25 562 0.8× 1.7k 2.7× 639 1.1× 122 0.5× 91 0.5× 129 2.7k
M. Boisdron‐Celle France 27 803 1.2× 2.1k 3.2× 589 1.0× 205 0.9× 91 0.5× 65 3.1k
Daniel Wahl United States 23 780 1.2× 503 0.8× 308 0.5× 250 1.1× 204 1.2× 79 2.2k
Christine M. Walko United States 24 473 0.7× 992 1.6× 454 0.8× 112 0.5× 94 0.5× 84 2.0k
Richard J. Honeywell Netherlands 26 1.0k 1.6× 822 1.3× 477 0.8× 163 0.7× 61 0.4× 77 1.9k
Remy B. Verheijen Netherlands 18 542 0.8× 630 1.0× 794 1.4× 180 0.8× 86 0.5× 50 1.4k
Anne M. Traynor United States 32 933 1.4× 1.3k 2.1× 1.1k 2.0× 158 0.7× 261 1.5× 117 2.9k
Stijn L.W. Koolen Netherlands 25 545 0.8× 1.1k 1.7× 755 1.3× 231 1.0× 188 1.1× 155 2.3k
Yusuke Demizu Japan 28 795 1.2× 687 1.1× 1.3k 2.2× 127 0.6× 245 1.4× 106 3.0k

Countries citing papers authored by Dale Miles

Since Specialization
Citations

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

Fields of papers citing papers by Dale Miles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dale Miles

This figure shows the co-authorship network connecting the top 25 collaborators of Dale Miles. A scholar is included among the top collaborators of Dale Miles 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 Dale Miles. Dale Miles 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.
Mody, Hardik, Dhruvitkumar S. Sutaria, & Dale Miles. (2024). Clinical Pharmacology Considerations for the “Off‐the‐Shelf” Allogeneic Cell Therapies. Clinical Pharmacology & Therapeutics. 115(6). 1233–1250. 3 indexed citations
2.
Shriver, Sharon P., Jeannine S. McCune, Dale Miles, et al.. (2024). Overcoming Barriers to Discovery and Implementation of Equitable Pharmacogenomic Testing in Oncology. Journal of Clinical Oncology. 42(10). 1181–1192. 9 indexed citations
3.
Joslyn, Louis R., Weize Huang, Dale Miles, Iraj Hosseini, & Saroja Ramanujan. (2024). Digital twins elucidate critical role of Tscm in clinical persistence of TCR-engineered cell therapy. npj Systems Biology and Applications. 10(1). 11–11. 11 indexed citations
4.
Liao, Michael Z., Rong Deng, Leonid Gibiansky, et al.. (2023). Ethnic sensitivity assessment: Polatuzumab vedotin pharmacokinetics in Asian and non‐Asian patients with previously untreated diffuse large B‐cell lymphoma in POLARIX. Clinical and Translational Science. 16(12). 2744–2755. 3 indexed citations
5.
Samineni, Divya, Leonid Gibiansky, Bei Wang, et al.. (2022). Pharmacokinetics and Exposure-Response Analysis of Venetoclax + Obinutuzumab in Chronic Lymphocytic Leukemia: Phase 1b Study and Phase 3 CLL14 Trial. Advances in Therapy. 39(8). 3635–3653. 7 indexed citations
6.
Shemesh, Colby S., Priya Agarwal, Tong Lu, et al.. (2020). Pharmacokinetics of polatuzumab vedotin in combination with R/G-CHP in patients with B-cell non-Hodgkin lymphoma. Cancer Chemotherapy and Pharmacology. 85(5). 831–842. 11 indexed citations
8.
Lacy, Steven, et al.. (2018). A population pharmacokinetic model of cabozantinib in healthy volunteers and patients with various cancer types. Cancer Chemotherapy and Pharmacology. 81(6). 1071–1082. 28 indexed citations
9.
Wakelee, Heather A., Scott Gettinger, Jeffrey A. Engelman, et al.. (2017). A phase Ib/II study of cabozantinib (XL184) with or without erlotinib in patients with non-small cell lung cancer. Cancer Chemotherapy and Pharmacology. 79(5). 923–932. 29 indexed citations
10.
12.
Miles, Dale, Nelson L. ‘Shasha’ Jumbe, Steven Lacy, & Linh T. Nguyen. (2015). Population Pharmacokinetic Model of Cabozantinib in Patients with Medullary Thyroid Carcinoma and Its Application to an Exposure-Response Analysis. Clinical Pharmacokinetics. 55(1). 93–105. 30 indexed citations
13.
Papadopoulos, Kyriakos P., Josep Tabernero, Ben Markman, et al.. (2014). Phase I Safety, Pharmacokinetic, and Pharmacodynamic Study of SAR245409 (XL765), a Novel, Orally Administered PI3K/mTOR Inhibitor in Patients with Advanced Solid Tumors. Clinical Cancer Research. 20(9). 2445–2456. 87 indexed citations
14.
Shapiro, Geoffrey I., E. Heath, Lisa Malburg, et al.. (2007). A Phase I dose-escalation study of the safety, pharmacokinetics (PK) and pharmacodynamics of XL880, a VEGFR and MET kinase inhibitor, administered daily to patients (pts) with advanced malignancies. Molecular Cancer Therapeutics. 6. 8 indexed citations
15.
Magda, Darren, Philip Lecane, Richard A. Miller, et al.. (2005). Motexafin Gadolinium Disrupts Zinc Metabolism in Human Cancer Cell Lines. Cancer Research. 65(9). 3837–3845. 53 indexed citations
16.
Mani, Chitra, et al.. (2005). Reductase‐mediated metabolism of motexafin gadolinium (Xcytrin®) in rat and human liver subcellular fractions and purified enzyme preparations. Journal of Pharmaceutical Sciences. 94(3). 559–570. 6 indexed citations
17.
Magda, Darren, et al.. (2005). Gadolinium texaphyrin–methotrexate conjugates. Towards improved cancer chemotherapeutic agents. Organic & Biomolecular Chemistry. 3(18). 3290–3290. 21 indexed citations
18.
Miles, Dale, Jennifer A. Smith, See‐Chun Phan, et al.. (2005). Population Pharmacokinetics of Motexafin Gadolinium in Adults With Brain Metastases or Glioblastoma Multiforme. The Journal of Clinical Pharmacology. 45(3). 299–312. 10 indexed citations
20.
Woodburn, Kathryn W., Quli Fan, Dale Miles, et al.. (1997). Localization and Efficacy Analysis of the Phototherapeutic Lutetium Texaphyrin (PCI‐0123) in the Murine EMT6 Sarcoma Model. Photochemistry and Photobiology. 65(3). 410–415. 95 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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