Ivan Chen

1.9k total citations · 3 hit papers
9 papers, 1.5k citations indexed

About

Ivan Chen is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ivan Chen has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Oncology. Recurrent topics in Ivan Chen's work include Epigenetics and DNA Methylation (4 papers), RNA modifications and cancer (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Ivan Chen is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), RNA modifications and cancer (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Ivan Chen collaborates with scholars based in United States and China. Ivan Chen's co-authors include Gregg L. Semenza, Haiquan Lu, Debangshu Samanta, Chuanzhao Zhang, Huimin Zhang, John W. Bullen, Xiaoshun He, Wanqing Iris Zhi, Edward Gabrielson and Hongxia Hu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Cell Reports.

In The Last Decade

Ivan Chen

9 papers receiving 1.5k citations

Hit Papers

Hypoxia induces the breast cancer stem cell phenotype by ... 2015 2026 2018 2022 2016 2015 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Chen United States 8 1.3k 837 289 155 63 9 1.5k
Zhixin Qiu China 14 838 0.7× 398 0.5× 328 1.1× 49 0.3× 74 1.2× 22 1.4k
Tzu‐Ting Huang Taiwan 24 826 0.6× 424 0.5× 415 1.4× 25 0.2× 172 2.7× 58 1.3k
Xushen Xiong China 16 2.0k 1.6× 1.0k 1.2× 109 0.4× 98 0.6× 34 0.5× 25 2.3k
Baogang Zhang China 25 1.1k 0.9× 701 0.8× 365 1.3× 16 0.1× 123 2.0× 74 1.7k
Gillian Browne United States 14 924 0.7× 328 0.4× 208 0.7× 21 0.1× 64 1.0× 14 1.7k
Yanhua Qi China 21 797 0.6× 473 0.6× 120 0.4× 58 0.4× 120 1.9× 39 1.2k
Momoko Yoshikawa Japan 13 529 0.4× 264 0.3× 243 0.8× 19 0.1× 140 2.2× 15 883
Shweta Tiwary United States 10 433 0.3× 221 0.3× 117 0.4× 40 0.3× 78 1.2× 12 597
Seung‐Hyun Oh South Korea 11 321 0.3× 128 0.2× 126 0.4× 58 0.4× 38 0.6× 14 529
Nan Sun China 16 782 0.6× 593 0.7× 120 0.4× 13 0.1× 78 1.2× 32 957

Countries citing papers authored by Ivan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Chen

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

All Works

9 of 9 papers shown
1.
Lu, Haiquan, Ivan Chen, Larissa A. Shimoda, et al.. (2021). Chemotherapy-Induced Ca2+ Release Stimulates Breast Cancer Stem Cell Enrichment. Cell Reports. 34(1). 108605–108605. 10 indexed citations
2.
Lu, Haiquan, Thi My Linh Tran, Youngrok Park, et al.. (2018). Reciprocal Regulation of DUSP9 and DUSP16 Expression by HIF1 Controls ERK and p38 MAP Kinase Activity and Mediates Chemotherapy-Induced Breast Cancer Stem Cell Enrichment. Cancer Research. 78(15). 4191–4202. 72 indexed citations
3.
Lu, Haiquan, Ivan Chen, Larissa A. Shimoda, et al.. (2017). Chemotherapy-Induced Ca2+ Release Stimulates Breast Cancer Stem Cell Enrichment. Cell Reports. 18(8). 1946–1957. 133 indexed citations
4.
Tu, Zhiming, Yawei Li, Yuliang Dai, et al.. (2017). MiR-140/BDNF axis regulates normal human astrocyte proliferation and LPS-induced IL-6 and TNF-α secretion. Biomedicine & Pharmacotherapy. 91. 899–905. 39 indexed citations
5.
Luo, Weibo, Ivan Chen, Yan Chen, et al.. (2016). PRDX2 and PRDX4 are negative regulators of hypoxia-inducible factors under conditions of prolonged hypoxia. Oncotarget. 7(6). 6379–6397. 31 indexed citations
6.
Zhang, Chuanzhao, Debangshu Samanta, Haiquan Lu, et al.. (2016). Hypoxia induces the breast cancer stem cell phenotype by HIF-dependent and ALKBH5-mediated m 6 A-demethylation of NANOG mRNA. Proceedings of the National Academy of Sciences. 113(14). E2047–56. 814 indexed citations breakdown →
7.
Zhang, Chuanzhao, Wanqing Iris Zhi, Haiquan Lu, et al.. (2016). Hypoxia-inducible factors regulate pluripotency factor expression by ZNF217- and ALKBH5-mediated modulation of RNA methylation in breast cancer cells. Oncotarget. 7(40). 64527–64542. 220 indexed citations breakdown →
8.
Lu, Haiquan, Debangshu Samanta, Lisha Xiang, et al.. (2015). Chemotherapy triggers HIF-1–dependent glutathione synthesis and copper chelation that induces the breast cancer stem cell phenotype. Proceedings of the National Academy of Sciences. 112(33). E4600–9. 224 indexed citations breakdown →
9.
Chen, Ivan. (2010). The Book of Filial Duty. 5 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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