George Cusatis

1.1k total citations
8 papers, 516 citations indexed

About

George Cusatis is a scholar working on Molecular Biology, Oncology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, George Cusatis has authored 8 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Oncology and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in George Cusatis's work include Drug Transport and Resistance Mechanisms (4 papers), Cancer therapeutics and mechanisms (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). George Cusatis is often cited by papers focused on Drug Transport and Resistance Mechanisms (4 papers), Cancer therapeutics and mechanisms (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). George Cusatis collaborates with scholars based in United States, Netherlands and Italy. George Cusatis's co-authors include Alex Sparreboom, Manuel Hidalgo, Sharyn D. Baker, Susan E. Bates, Roxann Ingersoll, Jaap Verweij, Jing Li, Robert W. Robey, Julie R. Brahmer and Anna Spreafico and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Cancer Research and Clinical Cancer Research.

In The Last Decade

George Cusatis

8 papers receiving 507 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
George Cusatis United States	7	414	174	137	100	86	8	516
Stéphanie van Hoppe Netherlands	12	257 0.6×	148 0.9×	73 0.5×	53 0.5×	45 0.5×	15	449
Katryn N. Furuya United States	17	203 0.5×	135 0.8×	86 0.6×	113 1.1×	88 1.0×	39	695
Valerie D. Doodeman Netherlands	11	424 1.0×	295 1.7×	113 0.8×	39 0.4×	159 1.8×	12	632
Lakshmi Vasist United States	11	185 0.4×	221 1.3×	48 0.4×	35 0.3×	55 0.6×	17	480
Kumie Kage Japan	6	606 1.5×	310 1.8×	43 0.3×	218 2.2×	71 0.8×	7	802
Anne‐Joy M. de Graan Netherlands	12	282 0.7×	74 0.4×	80 0.6×	52 0.5×	154 1.8×	16	425
Yasumasa Honjo United States	8	581 1.4×	249 1.4×	31 0.2×	219 2.2×	51 0.6×	11	700
Anna Demina United States	9	208 0.5×	554 3.2×	176 1.3×	464 4.6×	104 1.2×	16	987
Lori K. Mattison United States	11	557 1.3×	338 1.9×	123 0.9×	33 0.3×	96 1.1×	19	756
Kehua Wu United States	11	210 0.5×	231 1.3×	78 0.6×	80 0.8×	56 0.7×	23	542

Countries citing papers authored by George Cusatis

Since Specialization

Citations

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

Fields of papers citing papers by George Cusatis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Cusatis

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

All Works

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8 of 8 papers shown

Weekes, Colin D., Dongweon Song, John J. Arcaroli, et al.. (2012). Stromal Cell-Derived Factor 1α Mediates Resistance to mTOR-Directed Therapy in Pancreatic Cancer. Neoplasia. 14(8). 690–IN6. 43 indexed citations

Cusatis, George & Alex Sparreboom. (2008). Pharmacogenomic Importance of ABCG2. Pharmacogenomics. 9(8). 1005–1009. 51 indexed citations

Shah, Preeti, Antonio Jimeno, Belén Rubio‐Viqueira, et al.. (2007). In vivo testing of Mycophenolic acid (MPA) in primary pancreatic cancer (PaCa) xenografts. Cancer Research. 67. 2213–2213. 1 indexed citations

Li, Jing, George Cusatis, Julie R. Brahmer, et al.. (2007). Association of variant ABCG2 and the pharmacokinetics of epidermal growth factor receptor tyrosine kinase inhibitors in cancer patients. Cancer Biology & Therapy. 6(3). 432–438. 147 indexed citations

Jimeno, Antonio, Gurulingappa Hallur, Xiangfeng Zhang, et al.. (2007). Development of two novel benzoylphenylurea sulfur analogues and evidence that the microtubule-associated protein tau is predictive of their activity in pancreatic cancer. Molecular Cancer Therapeutics. 6(5). 1509–1516. 20 indexed citations

Cusatis, George, Vanesa Gregorc, Jing Li, et al.. (2006). Pharmacogenetics of ABCG2 and Adverse Reactions to Gefitinib. JNCI Journal of the National Cancer Institute. 98(23). 1739–1742. 180 indexed citations

Jimeno, Antonio, Najat C. Daw, María L. Amador, et al.. (2006). Analysis of biologic surrogate markers from a Children's Oncology Group Phase I trial of gefitinib in pediatric patients with solid tumors. Pediatric Blood & Cancer. 49(3). 352–357. 12 indexed citations

Lepper, Erin R., Sharyn D. Baker, Ron H. N. van Schaik, et al.. (2005). Effect of CommonCYP3A4andCYP3A5Variants on the Pharmacokinetics of the CytochromeP450 3A Phenotyping Probe Midazolam in Cancer Patients. Clinical Cancer Research. 11(20). 7398–7404. 62 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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