Peter R. McDonald

1.1k total citations
44 papers, 772 citations indexed

About

Peter R. McDonald is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Peter R. McDonald has authored 44 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 9 papers in Oncology and 7 papers in Immunology. Recurrent topics in Peter R. McDonald's work include Computational Drug Discovery Methods (5 papers), Toxin Mechanisms and Immunotoxins (5 papers) and PARP inhibition in cancer therapy (4 papers). Peter R. McDonald is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Toxin Mechanisms and Immunotoxins (5 papers) and PARP inhibition in cancer therapy (4 papers). Peter R. McDonald collaborates with scholars based in United States, Australia and Canada. Peter R. McDonald's co-authors include Anuradha Roy, John S. Lazo, Kai Wu, Curtis D. Klaassen, Ian F. Pollack, Rathnam Chaguturu, Jie Liu, Tong Ying Shun, Nikhil G. Thaker and Fang Zhang and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Peter R. McDonald

44 papers receiving 763 citations

Peers

Peter R. McDonald

ONCOL

IMMUN

Mohammad Sarwar Jamal Saudi Arabia

Anuradha Roy United States

Chiara Fornari United Kingdom

Wei‐Chun HuangFu Taiwan

Wenjing Chen China

Francesco Turrini Italy

Hans Weber Germany

Celeste E. Poteet-Smith United States

Yong‐Soon Cho South Korea

Sina Sareth United States

Mohammad Sarwar Jamal Saudi Arabia

Peter R. McDonald

467 ×1.0

203 ×1.2

ONCOL

130 ×1.6

IMMUN

136 ×1.8

44 ×0.6

Citations per year, relative to Peter R. McDonald Peter R. McDonald (= 1×) peers Mohammad Sarwar Jamal

Countries citing papers authored by Peter R. McDonald

Since Specialization

Citations

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

Fields of papers citing papers by Peter R. McDonald

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter R. McDonald. 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 Peter R. McDonald. The network helps show where Peter R. McDonald may publish in the future.

Co-authorship network of co-authors of Peter R. McDonald

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

All Works

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20 of 20 papers shown

Roy, Anuradha, Peter R. McDonald, Mark V. Coggeshall, et al.. (2023). Quantification and characterization of biological activities of glansreginin A in black walnuts (Juglans nigra). Scientific Reports. 13(1). 18860–18860. 2 indexed citations

Douglas, Justin T., Peter R. McDonald, Amy M. Whitaker, et al.. (2023). Abstract 5334: Targeting the KIF15-TPX2 PPI to overcome KIF11 inhibitor resistance in epithelial ovarian cancer. Cancer Research. 83(7_Supplement). 5334–5334. 1 indexed citations

Alhammad, Yousef M., Peter R. McDonald, David K. Johnson, et al.. (2022). Discovery of compounds that inhibit SARS-CoV-2 Mac1-ADP-ribose binding by high-throughput screening. Antiviral Research. 203. 105344–105344. 24 indexed citations

McDonald, Peter R., et al.. (2021). Simple and rapid high-throughput assay to identify HSV-1 ICP0 transactivation inhibitors. Antiviral Research. 194. 105160–105160. 4 indexed citations

Qaidi, Samir El, Congrui Zhu, Peter R. McDonald, et al.. (2018). High-Throughput Screening for Bacterial Glycosyltransferase Inhibitors. Frontiers in Cellular and Infection Microbiology. 8. 435–435. 20 indexed citations

Parrales, Alejandro, Peter R. McDonald, Anuradha Roy, et al.. (2018). Comparative oncology approach to drug repurposing in osteosarcoma. PLoS ONE. 13(3). e0194224–e0194224. 25 indexed citations

Kfoury, Najla, Tao Sun, Kwanha Yu, et al.. (2018). Cooperative p16 and p21 action protects female astrocytes from transformation. Acta Neuropathologica Communications. 6(1). 12–12. 49 indexed citations

Komiya, Takefumi, Satomi Yamamoto, Anuradha Roy, Peter R. McDonald, & Raymond P. Perez. (2017). Drug screening to target nuclear orphan receptor NR4A2 for cancer therapeutics. Translational Lung Cancer Research. 6(5). 600–610. 5 indexed citations

Polireddy, Kishore, Ruochen Dong, Peter R. McDonald, et al.. (2016). Targeting Epithelial-Mesenchymal Transition for Identification of Inhibitors for Pancreatic Cancer Cell Invasion and Tumor Spheres Formation. PLoS ONE. 11(10). e0164811–e0164811. 16 indexed citations

10.

Brooks, Christopher, Peter R. McDonald, Jonathan D. Schwartz, et al.. (2015). SL-801, a Novel, Reversible Inhibitor of Exportin-1 (XPO1) / Chromosome Region Maintenance-1 (CRM1) with Broad and Potent Anti-Cancer Activity. Blood. 126(23). 4433–4433. 1 indexed citations

11.

Díaz, Francisco J., Peter R. McDonald, Abraham Pinter, & Rathnam Chaguturu. (2014). Measuring and Statistically Testing the Size of the Effect of a Chemical Compound on a ContinuousIn-VitroPharmacological Response Through a New Statistical Model of Response Detection Limit. Journal of Biopharmaceutical Statistics. 25(4). 757–780. 2 indexed citations

12.

Díaz, Francisco J., Peter R. McDonald, Anuradha Roy, et al.. (2013). Compound Ranking Based on a New Mathematical Measure of Effectiveness Using Time Course Data from Cell-Based Assays. Combinatorial Chemistry & High Throughput Screening. 16(3). 168–179. 3 indexed citations

13.

Svilar, David, Madhu Dyavaiah, Ashley R. Brown, et al.. (2012). Alkylation Sensitivity Screens Reveal a Conserved Cross-species Functionome. Molecular Cancer Research. 10(12). 1580–1596. 33 indexed citations

14.

Wu, Kai, et al.. (2012). Implementation of a High-Throughput Screen for Identifying Small Molecules to Activate the Keap1-Nrf2-ARE Pathway. PLoS ONE. 7(10). e44686–e44686. 32 indexed citations

15.

McDonald, Peter R., Anuradha Roy, & Rathnam Chaguturu. (2011). Research Spotlight: The University of Kansas High-Throughput Screening Laboratory. Part II: Enabling Collaborative Drug-Discovery Partnerships Through Cutting-Edge Screening Technology. Future Medicinal Chemistry. 3(9). 1101–1110. 3 indexed citations

16.

Roy, Anuradha, et al.. (2010). Open Access High Throughput Drug Discovery in the Public Domain: A Mount Everest in the Making. Current Pharmaceutical Biotechnology. 11(7). 764–778. 45 indexed citations

17.

Thaker, Nikhil G., Peter R. McDonald, Fang Zhang, et al.. (2009). Designing, optimizing, and implementing high-throughput siRNA genomic screening with glioma cells for the discovery of survival genes and novel drug targets. Journal of Neuroscience Methods. 185(2). 204–212. 17 indexed citations

18.

Thaker, Nikhil G., Fang Zhang, Peter R. McDonald, et al.. (2009). Identification of Survival Genes in Human Glioblastoma Cells by Small Interfering RNA Screening. Molecular Pharmacology. 76(6). 1246–1255. 66 indexed citations

19.

McDonald, Peter R.. (2008). IDENTIFICATION OF NOVEL POTENTIAL CANCER THERAPIES BY SYNTHETIC LETHAL SCREENING. D-Scholarship@Pitt (University of Pittsburgh). 1 indexed citations

20.

McDonald, Peter R., et al.. (2008). High throughput screening in academia - Drug discovery initiatives at the University of Kansas. 3 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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