C-X Deng

759 total citations
11 papers, 576 citations indexed

About

C-X Deng is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, C-X Deng has authored 11 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in C-X Deng's work include DNA Repair Mechanisms (4 papers), BRCA gene mutations in cancer (3 papers) and CRISPR and Genetic Engineering (3 papers). C-X Deng is often cited by papers focused on DNA Repair Mechanisms (4 papers), BRCA gene mutations in cancer (3 papers) and CRISPR and Genetic Engineering (3 papers). C-X Deng collaborates with scholars based in United States, China and Macao. C-X Deng's co-authors include Wenhui Qiao, Yohei Tominaga, Toru Ouchi, Masaaki Ouchi, Tyler Lahusen, Athanassios Vassilopoulos, Cuiying Xiao, Philip Owens, Xin Xu and Allen Li and has published in prestigious journals such as Oncogene, Cell Death and Differentiation and Cell Death and Disease.

In The Last Decade

C-X Deng

11 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C-X Deng United States 9 413 262 215 100 83 11 576
Karen R. Groot United Kingdom 8 278 0.7× 168 0.6× 169 0.8× 93 0.9× 25 0.3× 8 554
Mihir Rajurkar United States 9 518 1.3× 135 0.5× 274 1.3× 63 0.6× 85 1.0× 12 708
Jennifer S. Horner United States 6 417 1.0× 191 0.7× 85 0.4× 45 0.5× 30 0.4× 6 550
Caroline Reynaud France 12 480 1.2× 141 0.5× 190 0.9× 153 1.5× 54 0.7× 21 670
S Bryce United Kingdom 9 335 0.8× 177 0.7× 66 0.3× 96 1.0× 66 0.8× 13 535
Nina Goerner Spain 3 499 1.2× 118 0.5× 139 0.6× 73 0.7× 34 0.4× 3 595
Jan Wallace United Kingdom 6 233 0.6× 162 0.6× 226 1.1× 83 0.8× 47 0.6× 9 463
Ana Belén Martínez‐Cruz Spain 12 398 1.0× 195 0.7× 60 0.3× 128 1.3× 33 0.4× 15 519
Deepika Kassen United Kingdom 5 364 0.9× 298 1.1× 77 0.4× 93 0.9× 19 0.2× 6 557
Anna M. Grawenda United Kingdom 9 376 0.9× 156 0.6× 195 0.9× 119 1.2× 22 0.3× 10 526

Countries citing papers authored by C-X Deng

Since Specialization
Citations

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

Fields of papers citing papers by C-X Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C-X Deng. 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 C-X Deng. The network helps show where C-X Deng may publish in the future.

Co-authorship network of co-authors of C-X Deng

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

All Works

11 of 11 papers shown
1.
Liu, Xiang-hua, et al.. (2017). Functional impact of Galectin-3 and TRAIL expression in breast cancer cells.. European review for medical and pharmacological sciences. 21(16). 3626–3633. 6 indexed citations
2.
3.
Vassilopoulos, Athanassios, Yohei Tominaga, Tyler Lahusen, et al.. (2014). WEE1 murine deficiency induces hyper-activation of APC/C and results in genomic instability and carcinogenesis. Oncogene. 34(23). 3023–3035. 28 indexed citations
4.
Vassilopoulos, Athanassios, et al.. (2013). A critical role of CD29 and CD49f in mediating metastasis for cancer-initiating cells isolated from a Brca1-associated mouse model of breast cancer. Oncogene. 33(47). 5477–5482. 58 indexed citations
5.
Lee, Mi‐Hye, Tyler Lahusen, Cuiying Xiao, et al.. (2011). Yin Yang 1 positively regulates BRCA1 and inhibits mammary cancer formation. Oncogene. 31(1). 116–127. 60 indexed citations
6.
Li, YY, Hyun‐Seok Kim, Kundan Sengupta, et al.. (2010). Genetic instability and mammary tumor formation in mice carrying mammary-specific disruption of Chk1 and p53. Oncogene. 29(28). 4007–4017. 39 indexed citations
7.
Wang, Xuting, Lu Liu, Cristina Montagna, Thomas Ried, & C-X Deng. (2007). Haploinsufficiency of Parp1 accelerates Brca1-associated centrosome amplification, telomere shortening, genetic instability, apoptosis, and embryonic lethality. Cell Death and Differentiation. 14(5). 924–931. 26 indexed citations
8.
Xiao, Cuiying, et al.. (2007). A role of estrogen/ERα signaling in BRCA1-associated tissue-specific tumor formation. Oncogene. 26(51). 7204–7212. 41 indexed citations
9.
Tominaga, Yohei, et al.. (2006). Genistein inhibits Brca1 mutant tumor growth through activation of DNA damage checkpoints, cell cycle arrest, and mitotic catastrophe. Cell Death and Differentiation. 14(3). 472–479. 40 indexed citations
10.
Qiao, Wenhui, et al.. (2006). Overexpression of aurora kinase A in mouse mammary epithelium induces genetic instability preceding mammary tumor formation. Oncogene. 25(54). 7148–7158. 196 indexed citations
11.
Qiao, Wenhui, Allen Li, Philip Owens, et al.. (2005). Hair follicle defects and squamous cell carcinoma formation in Smad4 conditional knockout mouse skin. Oncogene. 25(2). 207–217. 79 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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