Kurtis D. Davies

4.7k total citations · 1 hit paper
51 papers, 2.9k citations indexed

About

Kurtis D. Davies is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kurtis D. Davies has authored 51 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 20 papers in Oncology and 19 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kurtis D. Davies's work include Lung Cancer Treatments and Mutations (17 papers), Cancer Genomics and Diagnostics (8 papers) and PI3K/AKT/mTOR signaling in cancer (7 papers). Kurtis D. Davies is often cited by papers focused on Lung Cancer Treatments and Mutations (17 papers), Cancer Genomics and Diagnostics (8 papers) and PI3K/AKT/mTOR signaling in cancer (7 papers). Kurtis D. Davies collaborates with scholars based in United States, Switzerland and Italy. Kurtis D. Davies's co-authors include Robert C. Doebele, Deborah DeRyckere, H. Shelton Earp, Douglas K. Graham, Dara L. Aisner, Michael Browning, D. Ross Camidge, Marileila Varella‐Garcia, Susan Goebel-Goody and Rachel M.A. Linger and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Nature reviews. Cancer.

In The Last Decade

Kurtis D. Davies

49 papers receiving 2.9k citations

Hit Papers

The TAM family: phosphatidylserine-sensing receptor tyros... 2014 2026 2018 2022 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kurtis D. Davies United States 24 1.3k 1.1k 969 634 509 51 2.9k
Vera P. Krymskaya United States 35 1.8k 1.4× 906 0.9× 755 0.8× 569 0.9× 242 0.5× 86 3.8k
Rile Li United States 29 1.5k 1.2× 1.1k 1.0× 854 0.9× 250 0.4× 569 1.1× 37 3.0k
Erik J. Uhlmann United States 30 1.7k 1.3× 589 0.6× 734 0.8× 261 0.4× 447 0.9× 73 3.4k
Johan Lennartsson Sweden 31 1.8k 1.4× 451 0.4× 715 0.7× 880 1.4× 321 0.6× 76 3.5k
Valeriana Di Castro Italy 33 2.0k 1.5× 433 0.4× 833 0.9× 321 0.5× 641 1.3× 56 3.5k
Elizabeth R. Lawlor United States 32 1.9k 1.5× 1.6k 1.6× 1.1k 1.1× 499 0.8× 671 1.3× 91 3.8k
John Zevenhoven Netherlands 20 2.6k 2.1× 614 0.6× 2.2k 2.3× 306 0.5× 809 1.6× 23 4.1k
Monica Cantile Italy 35 2.1k 1.7× 447 0.4× 962 1.0× 262 0.4× 1.2k 2.3× 133 3.5k
Karen Cichowski United States 35 3.6k 2.8× 1.3k 1.2× 1.5k 1.5× 466 0.7× 840 1.7× 58 6.6k
Keishi Makino Japan 27 1.5k 1.2× 912 0.9× 1.0k 1.0× 292 0.5× 583 1.1× 95 4.2k

Countries citing papers authored by Kurtis D. Davies

Since Specialization
Citations

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

Fields of papers citing papers by Kurtis D. Davies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kurtis D. Davies. 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 Kurtis D. Davies. The network helps show where Kurtis D. Davies may publish in the future.

Co-authorship network of co-authors of Kurtis D. Davies

This figure shows the co-authorship network connecting the top 25 collaborators of Kurtis D. Davies. A scholar is included among the top collaborators of Kurtis D. Davies 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 Kurtis D. Davies. Kurtis D. Davies 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.
Keysar, Stephen B., Bettina Miller, J. Jason Morton, et al.. (2025). Improved Methods for the Stable Generation of Human Papillomavirus‐Driven Head and Neck Cancer Cell Lines. Molecular Carcinogenesis. 64(11). 1813–1822.
2.
4.
Dong, Fei & Kurtis D. Davies. (2023). Mutational Signatures in Cancer. Journal of Molecular Diagnostics. 25(11). 790–795. 2 indexed citations
5.
Le, Anh T., Hala Nijmeh, Kurtis D. Davies, et al.. (2023). Evolution of acquired resistance in a ROS1+ KRAS G12C+ NSCLC through the MAPK pathway. npj Precision Oncology. 7(1). 9–9. 9 indexed citations
6.
Roy‐Chowdhuri, Sinchita, Kurtis D. Davies, Lauren L. Ritterhouse, & Anthony N. Snow. (2022). ERBB2 (HER2) Alterations in Colorectal Cancer. Journal of Molecular Diagnostics. 24(10). 1064–1066. 9 indexed citations
7.
Le, Anh T., Dara L. Aisner, Hala Nijmeh, et al.. (2022). Abstract 5233: Evolution of therapy resistance through acquired KRAS amplification in ROS1 fusion KRAS G12C double positive NSCLC. Cancer Research. 82(12_Supplement). 5233–5233. 2 indexed citations
8.
Davies, Kurtis D., Lauren L. Ritterhouse, Anthony N. Snow, & Nikoletta Sidiropoulos. (2022). MET Exon 14 Skipping Mutations. Journal of Molecular Diagnostics. 24(8). 841–843. 5 indexed citations
9.
Davies, Kurtis D., et al.. (2019). DNA-Based versus RNA-Based Detection of MET Exon 14 Skipping Events in Lung Cancer. Journal of Thoracic Oncology. 14(4). 737–741. 104 indexed citations
10.
Karam, Sana D., Krishna Reddy, Patrick J. Blatchford, et al.. (2018). Final Report of a Phase I Trial of Olaparib with Cetuximab and Radiation for Heavy Smoker Patients with Locally Advanced Head and Neck Cancer. Clinical Cancer Research. 24(20). 4949–4959. 68 indexed citations
11.
Cummings, Christopher T., Mari Iida, Rebecca E. Parker, et al.. (2018). MERTK Mediates Intrinsic and Adaptive Resistance to AXL-targeting Agents. Molecular Cancer Therapeutics. 17(11). 2297–2308. 41 indexed citations
12.
Davies, Kurtis D., Anh‐Tuan Le, Jamie Sheren, et al.. (2018). Comparison of Molecular Testing Modalities for Detection of ROS1 Rearrangements in a Cohort of Positive Patient Samples. Journal of Thoracic Oncology. 13(10). 1474–1482. 119 indexed citations
13.
Vaishnavi, Aria, Laura Schubert, Uwe Rix, et al.. (2017). EGFR Mediates Responses to Small-Molecule Drugs Targeting Oncogenic Fusion Kinases. Cancer Research. 77(13). 3551–3563. 61 indexed citations
14.
Levy, Jean M. Mulcahy, Shadi Zahedi, Andrea M. Griesinger, et al.. (2017). Autophagy inhibition overcomes multiple mechanisms of resistance to BRAF inhibition in brain tumors. eLife. 6. 146 indexed citations
16.
Foreman, Nicholas K., et al.. (2016). Desmoplastic infantile astrocytoma/ganglioglioma with rare BRAF V600D mutation. Pediatric Blood & Cancer. 64(6). 16 indexed citations
17.
Cummings, Christopher T., Weihe Zhang, Kurtis D. Davies, et al.. (2015). Small Molecule Inhibition of MERTK Is Efficacious in Non–Small Cell Lung Cancer Models Independent of Driver Oncogene Status. Molecular Cancer Therapeutics. 14(9). 2014–2022. 50 indexed citations
18.
Davies, Kurtis D. & Robert C. Doebele. (2013). Molecular Pathways: ROS1 Fusion Proteins in Cancer. Clinical Cancer Research. 19(15). 4040–4045. 269 indexed citations
19.
Davies, Kurtis D., Anh T. Le, Mariana F. Theodoro, et al.. (2012). Identifying and Targeting ROS1 Gene Fusions in Non–Small Cell Lung Cancer. Clinical Cancer Research. 18(17). 4570–4579. 330 indexed citations
20.
Davies, Kurtis D., P. LouAnn Cable, Jennifer Garrus, et al.. (2011). Chk1 inhibition and Wee1 inhibition combine synergistically to impede cellular proliferation. Cancer Biology & Therapy. 12(9). 788–796. 67 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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