S Chen

758 total citations
12 papers, 582 citations indexed

About

S Chen is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, S Chen has authored 12 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Hematology and 3 papers in Oncology. Recurrent topics in S Chen's work include Acute Myeloid Leukemia Research (3 papers), Autophagy in Disease and Therapy (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). S Chen is often cited by papers focused on Acute Myeloid Leukemia Research (3 papers), Autophagy in Disease and Therapy (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). S Chen collaborates with scholars based in China, Canada and United States. S Chen's co-authors include Xilin Lyu, Xiao Li, Fengtian He, Ning Zhang, Lei Zheng, Bin Li, Haojun Xiong, Jianzhong He, Gang Huang and Weijuan Gong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and The FASEB Journal.

In The Last Decade

S Chen

11 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S Chen China	7	386	298	141	138	86	12	582
Yu-Ping Liao Taiwan	10	363 0.9×	217 0.7×	95 0.7×	154 1.1×	29 0.3×	10	508
Xiaopin Ji China	15	301 0.8×	183 0.6×	56 0.4×	197 1.4×	69 0.8×	31	584
Juo-Chin Yao United States	10	343 0.9×	108 0.4×	66 0.5×	55 0.4×	112 1.3×	17	500
Xianghong Yang China	13	274 0.7×	208 0.7×	28 0.2×	99 0.7×	43 0.5×	24	371
Weifang Zhang China	12	209 0.5×	84 0.3×	63 0.4×	117 0.8×	39 0.5×	33	355
Binghua Dai China	16	397 1.0×	327 1.1×	106 0.8×	127 0.9×	32 0.4×	30	624
Mansi Shah United States	12	231 0.6×	108 0.4×	43 0.3×	161 1.2×	110 1.3×	24	483

Countries citing papers authored by S Chen

Since Specialization

Citations

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

Fields of papers citing papers by S Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Chen

This figure shows the co-authorship network connecting the top 25 collaborators of S Chen. A scholar is included among the top collaborators of S 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 S Chen. S 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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12 of 12 papers shown

Li, Xiaoang, et al.. (2024). Flashover Properties of PEEK–FSR Interface of Underwater HV Electrical Connector in Extremely Hot and Humid Environment. IEEE Transactions on Dielectrics and Electrical Insulation. 32(1). 532–540.

Chen, S, et al.. (2023). MiR ‐9 promotes G‐MDSC recruitment and tumor proliferation by targeting SOCS3 in breast cancer. The FASEB Journal. 38(1). e23388–e23388. 5 indexed citations

Shi, Xiaorui, et al.. (2019). Norcantharidin inhibits the DDR of bladder cancer stem-like cells through cdc6 degradation. SHILAP Revista de lepidopterología. 2 indexed citations

Chen, S, et al.. (2017). FAM83A is amplified and promotes cancer stem cell-like traits and chemoresistance in pancreatic cancer. Oncogenesis. 6(3). e300–e300. 64 indexed citations

Xiong, Haojun, Zhenhong Ni, Jianzhong He, et al.. (2017). LncRNA HULC triggers autophagy via stabilizing Sirt1 and attenuates the chemosensitivity of HCC cells. Oncogene. 36(25). 3528–3540. 311 indexed citations

Chen, S, Chaohui Dong, Maohua Miao, et al.. (2016). Societal Implications of Medical Insurance Coverage for Imatinib as First-Line Treatment of Chronic Myeloid Leukaemia in China: A Cost Effectiveness Analysis. Value in Health. 19(7). A882–A882. 1 indexed citations

Hu, Yu, Hui Su, Zilian Wang, et al.. (2016). DEPTOR is a direct NOTCH1 target that promotes cell proliferation and survival in T-cell leukemia. Oncogene. 36(8). 1038–1047. 35 indexed citations

Bao, Xiebing, Qian Zhu, Shengli Xue, et al.. (2016). Risk factors of clinically refractory CMV reactivation following allogeneic HSCT: a single-center study in China. Bone Marrow Transplantation. 51(12). 1625–1627. 5 indexed citations

He, Xing‐Xiang, et al.. (2016). Predictive value of high EVI1 expression in AML patients undergoing myeloablative allogeneic hematopoietic stem cell transplantation in first CR. Bone Marrow Transplantation. 51(7). 921–927. 8 indexed citations

10.

Zhang, Xiang, Wenxue Ma, Juanjuan Cui, et al.. (2014). Regulation of p21 by TWIST2 contributes to its tumor-suppressor function in human acute myeloid leukemia. Oncogene. 34(23). 3000–3010. 25 indexed citations

11.

Zhang, Liang, Haibin Wu, Desheng Lu, et al.. (2013). The costimulatory molecule B7-H4 promote tumor progression and cell proliferation through translocating into nucleus. Oncogene. 32(46). 5347–5358. 86 indexed citations

12.

Chen, S, Qi Han, Mingzhen Yang, et al.. (2013). IBP-mediated suppression of autophagy promotes growth and metastasis of breast cancer cells via activating mTORC2/Akt/FOXO3a signaling pathway. Cell Death and Disease. 4(10). e842–e842. 40 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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