Bing Chen

4.4k total citations · 1 hit paper
151 papers, 3.1k citations indexed

About

Bing Chen is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Bing Chen has authored 151 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Molecular Biology, 45 papers in Hematology and 40 papers in Oncology. Recurrent topics in Bing Chen's work include Multiple Myeloma Research and Treatments (31 papers), Cancer-related molecular mechanisms research (18 papers) and RNA modifications and cancer (16 papers). Bing Chen is often cited by papers focused on Multiple Myeloma Research and Treatments (31 papers), Cancer-related molecular mechanisms research (18 papers) and RNA modifications and cancer (16 papers). Bing Chen collaborates with scholars based in China, United States and Australia. Bing Chen's co-authors include Shenglin Huang, Xianghuo He, Yuchen Li, Jingjing Zhao, Shengli Li, Peng Wang, Qiupeng Zheng, Shulin Yu, Yan Li and Yan Tang and has published in prestigious journals such as Chemical Society Reviews, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Bing Chen

138 papers receiving 3.1k citations

Hit Papers

exoRBase: a database of circRNA, lncRNA and mRNA in human... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Chen China 27 2.0k 1.2k 470 375 231 151 3.1k
Hong Yin China 32 1.8k 0.9× 880 0.7× 531 1.1× 360 1.0× 236 1.0× 90 3.6k
Bo Guo China 31 1.4k 0.7× 779 0.6× 699 1.5× 657 1.8× 173 0.7× 86 2.7k
Yunfeng Pan China 25 2.1k 1.0× 1.1k 0.9× 604 1.3× 399 1.1× 156 0.7× 81 3.2k
Michal Safran Israel 31 2.4k 1.2× 954 0.8× 338 0.7× 273 0.7× 194 0.8× 46 3.6k
Anthony W. Ashton United States 35 1.8k 0.9× 575 0.5× 498 1.1× 507 1.4× 270 1.2× 87 3.7k
Bart‐Jan Kroesen Netherlands 31 2.4k 1.2× 1.6k 1.4× 454 1.0× 852 2.3× 123 0.5× 75 3.6k
Shih Sheng Jiang Taiwan 32 1.5k 0.7× 565 0.5× 449 1.0× 266 0.7× 283 1.2× 91 2.5k
Seung‐Hyun Jung South Korea 30 1.1k 0.5× 628 0.5× 454 1.0× 231 0.6× 285 1.2× 153 2.8k
Nader Rahimi United States 38 2.5k 1.2× 524 0.4× 746 1.6× 497 1.3× 246 1.1× 76 3.9k
Takeshi Senga Japan 37 2.8k 1.4× 712 0.6× 957 2.0× 540 1.4× 248 1.1× 113 4.1k

Countries citing papers authored by Bing Chen

Since Specialization
Citations

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

Fields of papers citing papers by Bing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Chen. A scholar is included among the top collaborators of Bing 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 Bing Chen. Bing 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.
Jin, Weilin, et al.. (2025). HDAC3-mediated deacetylation of p21 stabilizes protein levels and promotes 5-FU resistance in colorectal cancer cells. SHILAP Revista de lepidopterología. 14. 100136–100136. 1 indexed citations
2.
Bai, Hua, Di Zhou, Jie He, et al.. (2025). Case report: Therapeutic use of bortezomib in a patient with Schnitzler syndrome. Frontiers in Immunology. 16. 1520470–1520470. 1 indexed citations
3.
Xu, Yong, et al.. (2025). Identifying potential prognosis markers in relapsed multiple myeloma via integrated bioinformatics analysis and biological experiments. Current Research in Translational Medicine. 73(2). 103495–103495.
4.
Song, Wei, Chunyan Yang, Kaixin Su, et al.. (2025). Ergosterol originated from Auricularia auricula attenuates high fat diet-induced obesity and cognitive impairment in mice. Food & Function. 16(7). 2780–2792. 1 indexed citations
5.
Li, Qi‐Xiang, Pengpeng Zhao, Yi Zou, et al.. (2025). NONO interacts with nuclear PKM2 and directs histone H3 phosphorylation to promote triple-negative breast cancer metastasis. Journal of Experimental & Clinical Cancer Research. 44(1). 90–90. 4 indexed citations
6.
Li, Chunrui, Dehui Zou, He Huang, et al.. (2024). Impact of CAR T-Cell Persistence on Clinical Outcomes in Relapsed/Refractory Multiple Myeloma: Insights from the Phase 2 Fumanba-1 Study. Blood. 144(Supplement 1). 4761–4761. 2 indexed citations
8.
Liu, Yanfang, Qili Shi, Bing Chen, et al.. (2024). Glucose‐induced LINC01419 reprograms the glycolytic pathway by recruiting YBX1 to enhance PDK1 mRNA stability in hepatocellular carcinoma. Clinical and Translational Medicine. 14(12). e70122–e70122. 2 indexed citations
9.
Zeng, Hui, Haibo Dong, Min Zhou, et al.. (2024). Negative expression of CD117 predicted inferior OS and PFS in acute promyelocytic leukemia. International Journal of Laboratory Hematology. 46(6). 1052–1058.
10.
Wang, Hui, Yingkuan Liang, Te Zhang, et al.. (2023). C-IGF1R encoded by cIGF1R acts as a molecular switch to restrict mitophagy of drug-tolerant persister tumour cells in non-small cell lung cancer. Cell Death and Differentiation. 30(11). 2365–2381. 16 indexed citations
11.
Yang, Nanfei, Bing Chen, Yuncheng Bei, et al.. (2023). A novel mesenchymal stem cell-based regimen for acute myeloid leukemia differentiation therapy. Acta Pharmaceutica Sinica B. 13(7). 3027–3042. 12 indexed citations
12.
Wang, Yuxin, Bing Chen, Jingyue Wang, et al.. (2021). Establishment of a novel mesenchymal stem cell-based regimen for chronic myeloid leukemia differentiation therapy. Cell Death and Disease. 12(2). 208–208. 11 indexed citations
13.
Dong, Xiaoqing, et al.. (2021). Bortezomib activation of mTORC1 pathway mediated by NOX2-drived reactive oxygen species results in apoptosis in primary dorsal root ganglion neurons. Experimental Cell Research. 400(2). 112494–112494. 5 indexed citations
14.
Bai, Hua, et al.. (2020). PLP2 Expression as a Prognostic and Therapeutic Indicator in High‐Risk Multiple Myeloma. BioMed Research International. 2020(1). 4286101–4286101. 6 indexed citations
15.
Bai, Hua & Bing Chen. (2020). Abnormal PTBP1 Expression Sustains the Disease Progression of Multiple Myeloma. Disease Markers. 2020. 1–10. 6 indexed citations
17.
Zheng, Qiupeng, Jingjing Zhao, Hui Yu, et al.. (2019). Tumor‐Specific Transcripts Are Frequently Expressed in Hepatocellular Carcinoma With Clinical Implication and Potential Function. Hepatology. 71(1). 259–274. 18 indexed citations
18.
Li, Shengli, Di Chen, Bing Chen, et al.. (2017). Transcriptomic analyses of RNA‐binding proteins reveal eIF3c promotes cell proliferation in hepatocellular carcinoma. Cancer Science. 108(5). 877–885. 29 indexed citations
19.
Chen, Bing, et al.. (2017). HDAC10 expression is associated with DNA mismatch repair gene and is a predictor of good prognosis in colon carcinoma. Oncology Letters. 14(4). 4923–4929. 14 indexed citations
20.
Chen, Bing, et al.. (2016). Paxillin functions as an oncogene in human gliomas by promoting cell migration and invasion. OncoTargets and Therapy. Volume 9. 6935–6943. 11 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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