Qing-Rong Chen

1.3k total citations
9 papers, 484 citations indexed

About

Qing-Rong Chen is a scholar working on Molecular Biology, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Qing-Rong Chen has authored 9 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Neurology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Qing-Rong Chen's work include Neuroblastoma Research and Treatments (3 papers), Microtubule and mitosis dynamics (3 papers) and Sarcoma Diagnosis and Treatment (2 papers). Qing-Rong Chen is often cited by papers focused on Neuroblastoma Research and Treatments (3 papers), Microtubule and mitosis dynamics (3 papers) and Sarcoma Diagnosis and Treatment (2 papers). Qing-Rong Chen collaborates with scholars based in United States, Germany and Australia. Qing-Rong Chen's co-authors include Javed Khan, Laurie B. Griffin, Lee J. Helman, Choh Yeung, Chand Khanna, Patrick J. Grohar, Arnulfo Mendoza, Manfred Schwab, Duane Currier and Sven Bilke and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Qing-Rong Chen

9 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qing-Rong Chen United States	9	289	140	105	105	93	9	484
Hendrik Wermann Germany	5	364 1.3×	66 0.5×	36 0.3×	103 1.0×	87 0.9×	5	510
Yasumichi Kuwahara Japan	17	472 1.6×	119 0.8×	119 1.1×	131 1.2×	124 1.3×	42	687
Marli E. Ebus Netherlands	12	452 1.6×	82 0.6×	317 3.0×	243 2.3×	162 1.7×	14	681
Andrew E. Tee Australia	16	746 2.6×	89 0.6×	179 1.7×	133 1.3×	373 4.0×	18	909
Jenny Han United States	9	218 0.8×	81 0.6×	37 0.4×	61 0.6×	67 0.7×	21	352
Juhie Lee South Korea	13	327 1.1×	48 0.3×	26 0.2×	104 1.0×	132 1.4×	37	574
Stephanie K. Guest United Kingdom	7	323 1.1×	61 0.4×	19 0.2×	168 1.6×	59 0.6×	7	429
Koshi Mimori Japan	10	142 0.5×	74 0.5×	20 0.2×	150 1.4×	94 1.0×	16	361
Xiaoping He United States	10	327 1.1×	40 0.3×	52 0.5×	255 2.4×	111 1.2×	28	560

Countries citing papers authored by Qing-Rong Chen

Since Specialization

Citations

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

Fields of papers citing papers by Qing-Rong Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing-Rong Chen

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

All Works

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9 of 9 papers shown

Nguyen, Cu, Chunhua Yan, Rhonda E. Ries, et al.. (2015). Transcriptome Profiling of Pediatric Core Binding Factor AML. PLoS ONE. 10(9). e0138782–e0138782. 15 indexed citations

Chen, Qing-Rong, Ying Hu, Chunhua Yan, Kenneth H. Buetow, & Daoud Meerzaman. (2014). Systematic Genetic Analysis Identifies Cis-eQTL Target Genes Associated with Glioblastoma Patient Survival. PLoS ONE. 9(8). e105393–e105393. 23 indexed citations

Chen, Qing-Rong, Rosemary Braun, Ying Hu, et al.. (2013). Multi-SNP Analysis of GWAS Data Identifies Pathways Associated with Nonalcoholic Fatty Liver Disease. PLoS ONE. 8(7). e65982–e65982. 18 indexed citations

Gégonne, Anne, Xuguang Tai, Jinghui Zhang, et al.. (2012). The General Transcription Factor TAF7 Is Essential for Embryonic Development but Not Essential for the Survival or Differentiation of Mature T Cells. Molecular and Cellular Biology. 32(10). 1984–1997. 38 indexed citations

Grohar, Patrick J., Girma M. Woldemichael, Laurie B. Griffin, et al.. (2011). Identification of an Inhibitor of the EWS-FLI1 Oncogenic Transcription Factor by High-Throughput Screening. JNCI Journal of the National Cancer Institute. 103(12). 962–978. 164 indexed citations

Grohar, Patrick J., Laurie B. Griffin, Choh Yeung, et al.. (2011). Ecteinascidin 743 Interferes with the Activity of EWS-FLI1 in Ewing Sarcoma Cells. Neoplasia. 13(2). 145–IN10. 97 indexed citations

Chen, Qing-Rong, Sven Bilke, Jun S. Wei, et al.. (2006). IncreasedWSB1copy number correlates with its over-expression which associates with increased survival in neuroblastoma. Genes Chromosomes and Cancer. 45(9). 856–862. 28 indexed citations

Bilke, Sven, et al.. (2005). Inferring a Tumor Progression Model for Neuroblastoma From Genomic Data. Journal of Clinical Oncology. 23(29). 7322–7331. 29 indexed citations

Chen, Qing-Rong, Sven Bilke, Jun S. Wei, et al.. (2004). cDNA array-CGH profiling identifies genomic alterations specific to stage and MYCN-amplification in neuroblastoma. BMC Genomics. 5(1). 70–70. 72 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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