Christopher G. Danes

1.1k total citations
12 papers, 690 citations indexed

About

Christopher G. Danes is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Christopher G. Danes has authored 12 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Christopher G. Danes's work include Ubiquitin and proteasome pathways (6 papers), Cancer-related Molecular Pathways (4 papers) and Lung Cancer Treatments and Mutations (3 papers). Christopher G. Danes is often cited by papers focused on Ubiquitin and proteasome pathways (6 papers), Cancer-related Molecular Pathways (4 papers) and Lung Cancer Treatments and Mutations (3 papers). Christopher G. Danes collaborates with scholars based in United States, United Kingdom and Japan. Christopher G. Danes's co-authors include Donald C. Porter, Khandan Keyomarsi, Christopher L. Neal, Dihua Yu, Jing Lü, Wentao Yang, Ning Zhang, Shamsa Faruki, Robert L. Coleman and Lingegowda S. Mangala and has published in prestigious journals such as Journal of Clinical Oncology, Molecular and Cellular Biology and Cancer Research.

In The Last Decade

Christopher G. Danes

9 papers receiving 683 citations

Peers

Christopher G. Danes
Marisa Mariani United States
R. Gätje Germany
C. Leah B. Kline United States
Z. Ping Lin United States
Capella Weems United States
Jun-Ying Zhou United States
Anouk A. J. Heine Netherlands
Marisa Mariani United States
Christopher G. Danes
Citations per year, relative to Christopher G. Danes Christopher G. Danes (= 1×) peers Marisa Mariani

Countries citing papers authored by Christopher G. Danes

Since Specialization
Citations

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

Fields of papers citing papers by Christopher G. Danes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher G. Danes. 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 Christopher G. Danes. The network helps show where Christopher G. Danes may publish in the future.

Co-authorship network of co-authors of Christopher G. Danes

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

All Works

12 of 12 papers shown
2.
Danes, Christopher G., et al.. (2025). Patient and caregiver treatment preferences for ALK+ non-small cell lung cancer in the United States.. Journal of Clinical Oncology. 43(16_suppl). 8617–8617.
3.
Neal, Joel W., Ying Li, Robert J. Fram, et al.. (2023). Mobocertinib efficacy in patients with NSCLC and EGFR exon 20 insertion mutations (ex20ins) identified by next-generation sequencing (NGS) of circulating tumor DNA (ctDNA).. Journal of Clinical Oncology. 41(16_suppl). 9082–9082.
4.
Danilova, Olga V., et al.. (2017). Pevonedistat, a Nedd8-activating enzyme inhibitor, sensitizes neoplastic B-cells to death receptor-mediated apoptosis. Oncotarget. 8(13). 21128–21139. 13 indexed citations
5.
Porter, Donald C., Christopher G. Danes, Bey-Dih Chang, et al.. (2012). Abstract 1820: CDK3: A novel tumor-selective drug target involved in AP1 activation and transcriptional damage response. Cancer Research. 72(8_Supplement). 1820–1820. 1 indexed citations
6.
Neal, Christopher L., Jun Yao, Wentao Yang, et al.. (2009). 14-3-3ζ Overexpression Defines High Risk for Breast Cancer Recurrence and Promotes Cancer Cell Survival. Cancer Research. 69(8). 3425–3432. 158 indexed citations
7.
Shahzad, Mian M.K., Chunhua Lu, Rebecca L. Stone, et al.. (2009). Dual targeting of EphA2 and FAK in ovarian carcinoma. Cancer Biology & Therapy. 8(11). 1027–1034. 45 indexed citations
8.
Merritt, William M., Christopher G. Danes, Mian M.K. Shahzad, et al.. (2009). Anti-angiogenic properties of metronomic topotecan in ovarian carcinoma. Cancer Biology & Therapy. 8(16). 1596–1603. 35 indexed citations
9.
Danes, Christopher G., Shannon L. Wyszomierski, Jing Lü, et al.. (2008). 14-3-3ζ Down-regulates p53 in Mammary Epithelial Cells and Confers Luminal Filling. Cancer Research. 68(6). 1760–1767. 73 indexed citations
10.
Spannuth, Whitney A., Alpa M. Nick, Nicholas B. Jennings, et al.. (2008). Functional significance of VEGFR‐2 on ovarian cancer cells. International Journal of Cancer. 124(5). 1045–1053. 124 indexed citations
11.
Porter, Donald C., et al.. (2001). Tumor-Specific Proteolytic Processing of Cyclin E Generates Hyperactive Lower-Molecular-Weight Forms. Molecular and Cellular Biology. 21(18). 6254–6269. 156 indexed citations
12.
Porter, Donald C., et al.. (2000). Processing of cyclin E differs between normal and tumor breast cells.. PubMed. 60(2). 481–9. 85 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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