Hankui Chen

1.3k total citations
22 papers, 993 citations indexed

About

Hankui Chen is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Hankui Chen has authored 22 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Hankui Chen's work include Metabolomics and Mass Spectrometry Studies (3 papers), Electromagnetic Scattering and Analysis (3 papers) and MicroRNA in disease regulation (3 papers). Hankui Chen is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (3 papers), Electromagnetic Scattering and Analysis (3 papers) and MicroRNA in disease regulation (3 papers). Hankui Chen collaborates with scholars based in United States, China and India. Hankui Chen's co-authors include Rick A. Kittles, Krzysztof Mrózek, Danilo Perrotti, Tamara Vukosavljevic, Amy S. Ruppert, Peter Paschka, Clara D. Bloomfield, Andrew J. Carroll, Richard A. Larson and James W. Vardiman and has published in prestigious journals such as Journal of Clinical Oncology, Biochemical and Biophysical Research Communications and Experimental Cell Research.

In The Last Decade

Hankui Chen

22 papers receiving 974 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hankui Chen United States 12 506 423 257 152 147 22 993
Roger Luo United States 16 694 1.4× 510 1.2× 147 0.6× 229 1.5× 130 0.9× 30 1.3k
Cezary Swider United States 11 522 1.0× 494 1.2× 191 0.7× 201 1.3× 239 1.6× 20 1.1k
Antonio R. Lucena‐Araujo Brazil 16 404 0.8× 223 0.5× 153 0.6× 152 1.0× 178 1.2× 62 750
Chetasi Talati United States 16 512 1.0× 592 1.4× 157 0.6× 326 2.1× 247 1.7× 78 1.1k
Justin M. Watts United States 17 560 1.1× 530 1.3× 99 0.4× 169 1.1× 193 1.3× 127 968
Luciana De Luca Italy 19 776 1.5× 260 0.6× 433 1.7× 154 1.0× 171 1.2× 55 1.0k
Anne-Marie O’Farrell United States 6 360 0.7× 332 0.8× 96 0.4× 146 1.0× 214 1.5× 6 758
Simon Bomken United Kingdom 13 376 0.7× 234 0.6× 223 0.9× 93 0.6× 366 2.5× 32 964
Magdalena Plašilová United States 12 372 0.7× 329 0.8× 154 0.6× 128 0.8× 202 1.4× 17 945
Marta Sánchez-Martín United States 12 553 1.1× 241 0.6× 177 0.7× 64 0.4× 224 1.5× 15 960

Countries citing papers authored by Hankui Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hankui Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hankui Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Hankui Chen. A scholar is included among the top collaborators of Hankui 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 Hankui Chen. Hankui Chen 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.
Zhang, Wen, Hankui Chen, Christopher D. Katanski, et al.. (2024). Quantification of tRNA m1A modification by templated-ligation qPCR. RNA. 30(6). rna.079895.123–rna.079895.123. 2 indexed citations
2.
Dou, Yuhong, Yong Zhu, Junmei Ai, et al.. (2018). Plasma small ncRNA pair panels as novel biomarkers for early-stage lung adenocarcinoma screening. BMC Genomics. 19(1). 545–545. 18 indexed citations
3.
Chen, Hankui, Yong Zhu, Junmei Ai, et al.. (2018). Global lipidomics reveals two plasma lipids as novel biomarkers for the detection of squamous cell lung cancer: A pilot study. Oncology Letters. 16(1). 761–768. 21 indexed citations
4.
Chen, Hankui, Junmei Ai, Yong Zhu, et al.. (2017). Global lipidomics identified plasma lipids as novel biomarkers for early detection of lung cancer. Oncotarget. 8(64). 107899–107906. 43 indexed citations
5.
Chen, Hankui, Helu Liu, Rui Chen, et al.. (2016). Evaluation of Plasma miR-21 and miR-152 as Diagnostic Biomarkers for Common Types of Human Cancers. Journal of Cancer. 7(5). 490–499. 60 indexed citations
6.
Qian, Xin, Hankui Chen, Xiaofeng Wu, et al.. (2016). Interleukin-17 acts as double-edged sword in anti-tumor immunity and tumorigenesis. Cytokine. 89. 34–44. 111 indexed citations
7.
Chen, Xiaoli, Hankui Chen, Meiyu Dai, et al.. (2016). Plasma lipidomics profiling identified lipid biomarkers in distinguishing early-stage breast cancer from benign lesions. Oncotarget. 7(24). 36622–36631. 94 indexed citations
8.
Li, Yán, et al.. (2014). RNA-Seq and Network Analysis Revealed Interacting Pathways in TGF-β-Treated Lung Cancer Cell Lines. Cancer Informatics. 13s5(Suppl 5). CIN.S14073–CIN.S14073. 7 indexed citations
9.
Deng, Youping, Hankui Chen, Helu Liu, et al.. (2014). Circulating microRNA profiling for early detection of non-small cell lung cancer.. Journal of Clinical Oncology. 32(15_suppl). e22051–e22051. 2 indexed citations
10.
Chen, Hankui, et al.. (2012). Vitamin D directly regulates Mdm2 gene expression in osteoblasts. Biochemical and Biophysical Research Communications. 430(1). 370–374. 22 indexed citations
11.
Chen, Hankui, et al.. (2012). p53 and MDM2 are involved in the regulation of osteocalcin gene expression. Experimental Cell Research. 318(8). 867–876. 18 indexed citations
12.
Chen, Hankui, et al.. (2011). Osteocalcin Gene Expression Is Regulated by Wild-Type p53. Calcified Tissue International. 89(5). 411–418. 10 indexed citations
13.
Zhong, Ning, Hankui Chen, Hongwei Wang, et al.. (2010). Effects of griseofulvin on apoptosis through caspase-3- and caspase-9-dependent pathways in K562 leukemia cells: An in vitro study. Current Therapeutic Research. 71(6). 384–397. 11 indexed citations
14.
Hooker, Stanley, Wenndy Hernandez, Hankui Chen, et al.. (2009). Replication of prostate cancer risk loci on 8q24, 11q13, 17q12, 19q33, and Xp11 in African Americans. The Prostate. 70(3). 270–275. 55 indexed citations
15.
Chen, Hankui, Wenndy Hernandez, Mark D. Shriver, Chiledum Ahaghotu, & Rick A. Kittles. (2006). ICAM gene cluster SNPs and prostate cancer risk in African Americans. Human Genetics. 120(1). 69–76. 26 indexed citations
16.
Paschka, Peter, Guido Marcucci, Amy S. Ruppert, et al.. (2006). Adverse Prognostic Significance of KIT Mutations in Adult Acute Myeloid Leukemia With inv(16) and t(8;21): A Cancer and Leukemia Group B Study. Journal of Clinical Oncology. 24(24). 3904–3911. 464 indexed citations
17.
Zhu, Shouzheng & Hankui Chen. (1988). Power Distribution Analysis in Rectangular Microwave Heating Applicator With Startified Load. Journal of Microwave Power and Electromagnetic Energy. 23(3). 139–143. 14 indexed citations
18.
Chen, Hankui, et al.. (1983). A study of the effect of buildings on the radiation patterns of simple antenna arrays. IRE Transactions on Antennas and Propagation. 31(4). 689–692. 1 indexed citations
19.
Chen, Hankui, et al.. (1983). Near field computation on electromagnetic scattering by moment method. 26. 1119–1128. 1 indexed citations
20.
Chen, Hankui, et al.. (1982). Near Field Computation on Electromagnetic Scattering by Moment Method. 396–401. 1 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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