Qi-En Wang

776 total citations
10 papers, 629 citations indexed

About

Qi-En Wang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Qi-En Wang has authored 10 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in Qi-En Wang's work include Epigenetics and DNA Methylation (3 papers), RNA Research and Splicing (3 papers) and Cancer Cells and Metastasis (3 papers). Qi-En Wang is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), RNA Research and Splicing (3 papers) and Cancer Cells and Metastasis (3 papers). Qi-En Wang collaborates with scholars based in United States, China and India. Qi-En Wang's co-authors include Jianhua Yu, Jianfeng Han, Christopher Alvarez‐Breckenridge, Charlie Chen, E. Antonio Chiocca, Jianying Zhang, Youwei Wang, Jianhong Chu, Lingling Zhang and Long Yi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Qi-En Wang

10 papers receiving 623 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qi-En Wang United States	8	300	289	215	163	121	10	629
Maria Scatolini Italy	13	226 0.8×	310 1.1×	153 0.7×	121 0.7×	48 0.4×	24	589
Elisabeth Oelmann Germany	16	268 0.9×	348 1.2×	242 1.1×	102 0.6×	101 0.8×	31	773
Juan M. Funes United Kingdom	10	198 0.7×	447 1.5×	104 0.5×	196 1.2×	109 0.9×	15	686
George S. Laszlo United States	15	401 1.3×	435 1.5×	208 1.0×	61 0.4×	48 0.4×	35	814
Frederick S. Varn United States	16	513 1.7×	358 1.2×	410 1.9×	286 1.8×	232 1.9×	28	1.0k
Judy S. Wang United States	16	435 1.4×	297 1.0×	169 0.8×	77 0.5×	153 1.3×	53	725
Ronan Chaligné United States	13	196 0.7×	656 2.3×	124 0.6×	340 2.1×	65 0.5×	28	963
Kimberly Lezon-Geyda United States	16	162 0.5×	473 1.6×	78 0.4×	200 1.2×	168 1.4×	34	860
Ivana Catacchio Italy	13	204 0.7×	310 1.1×	96 0.4×	84 0.5×	41 0.3×	15	561
Hiroshi Kotani Japan	12	420 1.4×	421 1.5×	168 0.8×	59 0.4×	103 0.9×	34	770

Countries citing papers authored by Qi-En Wang

Since Specialization

Citations

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

Fields of papers citing papers by Qi-En Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qi-En Wang. 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 Qi-En Wang. The network helps show where Qi-En Wang may publish in the future.

Co-authorship network of co-authors of Qi-En Wang

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

All Works

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10 of 10 papers shown

Qiu, Zhaojun, Yujie Liu, Nigel Bean, et al.. (2024). Low PPP2R2A expression promotes sensitivity to CHK1 inhibition in high-grade serous ovarian cancer. Theranostics. 14(19). 7450–7469. 1 indexed citations

Zhang, Xiaoli, et al.. (2024). Advancements in prospective single-cell lineage barcoding and their applications in research. Genome Research. 34(12). 2147–2162. 1 indexed citations

Yin, Ming, Petros Grivas, Qi-En Wang, et al.. (2020). Prognostic Value of DNA Damage Response Genomic Alterations in Relapsed/Advanced Urothelial Cancer. The Oncologist. 25(8). 680–688. 12 indexed citations

Srivastava, Amit Kumar, Ananya Banerjee, Tiantian Cui, et al.. (2019). Inhibition of miR-328–3p Impairs Cancer Stem Cell Function and Prevents Metastasis in Ovarian Cancer. Cancer Research. 79(9). 2314–2326. 74 indexed citations

Zhang, Tianyu, Jielin Xu, Siyuan Deng, et al.. (2018). Core signaling pathways in ovarian cancer stem cell revealed by integrative analysis of multi-marker genomics data. PLoS ONE. 13(5). e0196351–e0196351. 16 indexed citations

Chen, Zhong, Dayong Wu, Jennifer M. Thomas‐Ahner, et al.. (2018). Diverse AR-V7 cistromes in castration-resistant prostate cancer are governed by HoxB13. Proceedings of the National Academy of Sciences. 115(26). 6810–6815. 109 indexed citations

Cui, Hongmei, Xingyao Li, Chunhua Han, et al.. (2016). The Stress-responsive Gene ATF3 Mediates Dichotomous UV Responses by Regulating the Tip60 and p53 Proteins. Journal of Biological Chemistry. 291(20). 10847–10857. 22 indexed citations

Chen, Xilin, Jianfeng Han, Jianhong Chu, et al.. (2016). A combinational therapy of EGFR-CAR NK cells and oncolytic herpes simplex virus 1 for breast cancer brain metastases. Oncotarget. 7(19). 27764–27777. 202 indexed citations

Han, Jianfeng, Christopher Alvarez‐Breckenridge, Qi-En Wang, & Jianhua Yu. (2015). TGF-β signaling and its targeting for glioma treatment.. PubMed. 5(3). 945–55. 162 indexed citations

10.

Wang, Qi-En, et al.. (2013). DKK3 is a potential tumor suppressor gene in papillary thyroid carcinoma. Endocrine Related Cancer. 20(4). 507–514. 30 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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