C. Kieu

1.5k total citations · 1 hit paper
10 papers, 1.2k citations indexed

About

C. Kieu is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, C. Kieu has authored 10 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in C. Kieu's work include Epigenetics and DNA Methylation (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Prostate Cancer Diagnosis and Treatment (2 papers). C. Kieu is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Prostate Cancer Diagnosis and Treatment (2 papers). C. Kieu collaborates with scholars based in Germany, United States and Switzerland. C. Kieu's co-authors include Olivier Gires, Brigitte Mack, Markus Münz, Reinhard Zeidler, Martin Canis, Sabine Denzel, Philip Went, Dorothea Maetzel, Peer Papior and Patrick A. Baeuerle and has published in prestigious journals such as Nature Cell Biology, Cancer and Cancer Research.

In The Last Decade

C. Kieu

10 papers receiving 1.2k citations

Hit Papers

Nuclear signalling by tumour-associated antigen EpCAM 2009 2026 2014 2020 2009 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
C. Kieu Germany 10 700 560 262 185 135 10 1.2k
Anita Tandle United States 21 766 1.1× 320 0.6× 324 1.2× 146 0.8× 122 0.9× 33 1.2k
Rebecca G. Bagley United States 23 952 1.4× 474 0.8× 264 1.0× 226 1.2× 275 2.0× 51 1.6k
Nilay S. Sethi United States 14 726 1.0× 592 1.1× 312 1.2× 114 0.6× 202 1.5× 26 1.3k
Yanli Su United States 15 790 1.1× 472 0.8× 303 1.2× 93 0.5× 198 1.5× 22 1.4k
Camilla L. Christensen Denmark 19 795 1.1× 600 1.1× 184 0.7× 158 0.9× 202 1.5× 34 1.4k
Mark B. Meads United States 12 771 1.1× 753 1.3× 307 1.2× 307 1.7× 129 1.0× 36 1.6k
Maarten Balzar Netherlands 5 494 0.7× 481 0.9× 115 0.4× 206 1.1× 68 0.5× 7 1.0k
Ivan Ischenko Germany 19 621 0.9× 507 0.9× 269 1.0× 88 0.5× 140 1.0× 22 1.2k
Philippe Pujuguet Belgium 16 542 0.8× 446 0.8× 153 0.6× 112 0.6× 140 1.0× 22 1.1k
Lucia Beviglia United States 13 708 1.0× 612 1.1× 267 1.0× 108 0.6× 73 0.5× 27 1.3k

Countries citing papers authored by C. Kieu

Since Specialization
Citations

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

Fields of papers citing papers by C. Kieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Kieu

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

All Works

10 of 10 papers shown
1.
Filipczak, Piotr T., Shuguang Leng, Carmen S. Tellez, et al.. (2019). p53-Suppressed Oncogene TET1 Prevents Cellular Aging in Lung Cancer. Cancer Research. 79(8). 1758–1768. 46 indexed citations
2.
Kieu, C., Shuguang Leng, Piotr T. Filipczak, et al.. (2019). Inhibition of the hexosamine biosynthesis pathway potentiates cisplatin cytotoxicity by decreasing BiP expression in non–small‐cell lung cancer cells. Molecular Carcinogenesis. 58(6). 1046–1055. 28 indexed citations
3.
Rybicki, Benjamin A., Andrew Rundle, Oleksandr N. Kryvenko, et al.. (2016). Methylation in benign prostate and risk of disease progression in men subsequently diagnosed with prostate cancer. International Journal of Cancer. 138(12). 2884–2893. 15 indexed citations
4.
Tang, Deliang, Oleksandr N. Kryvenko, C. Kieu, et al.. (2013). Methylation of the RARB Gene Increases Prostate Cancer Risk in Black Americans. The Journal of Urology. 190(1). 317–324. 33 indexed citations
5.
Leng, Shuguang, Amanda M. Bernauer, Chibo Hong, et al.. (2011). The A/G Allele of Rs16906252 Predicts for MGMT Methylation and Is Selectively Silenced in Premalignant Lesions from Smokers and in Lung Adenocarcinomas. Clinical Cancer Research. 17(7). 2014–2023. 46 indexed citations
6.
Maetzel, Dorothea, Sabine Denzel, Brigitte Mack, et al.. (2009). Nuclear signalling by tumour-associated antigen EpCAM. Nature Cell Biology. 11(2). 162–171. 565 indexed citations breakdown →
7.
Münz, Markus, C. Kieu, Brigitte Mack, et al.. (2004). The carcinoma-associated antigen EpCAM upregulates c-myc and induces cell proliferation. Oncogene. 23(34). 5748–5758. 295 indexed citations
8.
Gires, Olivier, C. Kieu, Jens Rauch, et al.. (2004). Profile identification of disease-associated humoral antigens using AMIDA, a novel proteomics-based technology. Cellular and Molecular Life Sciences. 61(10). 1198–1207. 57 indexed citations
9.
Pauli, Christof, Markus Münz, C. Kieu, et al.. (2003). Tumor-specific glycosylation of the carcinoma-associated epithelial cell adhesion molecule EpCAM in head and neck carcinomas. Cancer Letters. 193(1). 25–32. 77 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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