Bing Chen

3.5k total citations
59 papers, 1.4k citations indexed

About

Bing Chen is a scholar working on Hematology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Bing Chen has authored 59 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Hematology, 26 papers in Molecular Biology and 11 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Bing Chen's work include Acute Myeloid Leukemia Research (33 papers), Acute Lymphoblastic Leukemia research (11 papers) and Retinoids in leukemia and cellular processes (7 papers). Bing Chen is often cited by papers focused on Acute Myeloid Leukemia Research (33 papers), Acute Lymphoblastic Leukemia research (11 papers) and Retinoids in leukemia and cellular processes (7 papers). Bing Chen collaborates with scholars based in China, United States and Canada. Bing Chen's co-authors include Sai‐Juan Chen, Chen Zhu, Jingyi Shi, Yongmei Zhu, Shu-Min Xiong, Yang Shen, Zhixiang Shen, Yueying Wang, Qi Cui and Zhu Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.

In The Last Decade

Bing Chen

58 papers receiving 1.4k citations

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 20 781 748 240 212 200 59 1.4k
Yongmei Zhu China 13 1.1k 1.4× 1.3k 1.7× 269 1.1× 268 1.3× 143 0.7× 46 1.8k
Hao Jiang China 18 959 1.2× 433 0.6× 347 1.4× 283 1.3× 184 0.9× 150 1.3k
Saeid Shahrabi Iran 17 273 0.3× 323 0.4× 212 0.9× 73 0.3× 156 0.8× 49 872
Zubaidah Zakaria Malaysia 22 175 0.2× 577 0.8× 393 1.6× 76 0.4× 317 1.6× 69 1.3k
Haobin Ye United States 10 645 0.8× 810 1.1× 110 0.5× 66 0.3× 167 0.8× 19 1.4k
Jinsong Yan China 14 249 0.3× 445 0.6× 86 0.4× 59 0.3× 77 0.4× 66 787
Mohsen Nikbakht Iran 18 187 0.2× 438 0.6× 102 0.4× 52 0.2× 192 1.0× 78 899
R S Walters United States 16 986 1.3× 484 0.6× 298 1.2× 427 2.0× 1.2k 6.2× 25 2.3k
Yuanyuan Xu China 15 207 0.3× 292 0.4× 152 0.6× 46 0.2× 151 0.8× 47 807
Giuseppa Penna Italy 16 214 0.3× 499 0.7× 126 0.5× 27 0.1× 253 1.3× 31 904

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.
Li, Nan, Liquan Fan, Hang Xu, et al.. (2023). An AI-Aided Diagnostic Framework for Hematologic Neoplasms Based on Morphologic Features and Medical Expertise. Laboratory Investigation. 103(4). 100055–100055. 8 indexed citations
2.
Cui, Qi & Bing Chen. (2023). Review of polymer-amended bentonite: Categories, mechanism, modification processes and application in barriers for isolating contaminants. Applied Clay Science. 235. 106869–106869. 41 indexed citations
3.
Chen, Xinjie, Yuting Dai, Bing Dai, et al.. (2023). Combination of eriocalyxin B and homoharringtonine exerts synergistic anti-tumor effects against t(8;21) AML. Acta Pharmacologica Sinica. 45(3). 633–645. 3 indexed citations
4.
Peng, Lijun, Mei Geng, Ekaterina Bourov a-Flin, et al.. (2022). Ectopic expression of a combination of 5 genes detects high risk forms of T-cell acute lymphoblastic leukemia. BMC Genomics. 23(1). 467–467. 5 indexed citations
5.
Dong, Xiaoqing, et al.. (2022). DOK2 Has Prognostic and Immunologic Significance in Adults With Acute Myeloid Leukemia: A Novel Immune-Related Therapeutic Target. Frontiers in Medicine. 9. 842383–842383. 1 indexed citations
6.
Niu, Q. L., Yang Shen, Hai Fang, et al.. (2021). Integration of Genomic and Transcriptomic Markers Improves the Prognosis Prediction of Acute Promyelocytic Leukemia. Clinical Cancer Research. 27(13). 3683–3694. 15 indexed citations
7.
Li, Xue‐Ping, Yuting Dai, Bing Chen, et al.. (2021). Clinical significance of CD34+CD117dim/CD34+CD117bri myeloblast-associated gene expression in t(8;21) acute myeloid leukemia. Frontiers of Medicine. 15(4). 608–620. 12 indexed citations
8.
Cao, Haiyan, Ying Gao, Yanyan Ma, et al.. (2020). EPB41L4A and LEP gene polymorphisms are associated with antipsychotic-induced QTc interval prolongation in Han Chinese. Psychiatry Research. 286. 112851–112851. 3 indexed citations
9.
Wang, Yanyu, Wen‐Lian Chen, Xiangqin Weng, et al.. (2017). Low CLL-1 Expression Is a Novel Adverse Predictor in 123 Patients with De Novo CD34 + Acute Myeloid Leukemia. Stem Cells and Development. 26(20). 1460–1467. 12 indexed citations
10.
Lü, Jing, et al.. (2017). Erythropoietin Attenuates Cardiac Dysfunction in Rats by Inhibiting Endoplasmic Reticulum Stress-Induced Diabetic Cardiomyopathy. Cardiovascular Drugs and Therapy. 31(4). 367–379. 16 indexed citations
11.
Xu, Peipei, et al.. (2017). Characteristics and mutation analysis of Ph-positive leukemia patients with T315I mutation receiving tyrosine kinase inhibitors. OncoTargets and Therapy. Volume 10. 4731–4738. 9 indexed citations
12.
Huang, Jingjing, et al.. (2017). Limited sampling strategy for predicting busulfan exposure in hematopoietic stem cell transplantation recipients. International Journal of Clinical Pharmacy. 39(4). 662–668. 6 indexed citations
13.
Zhu, Yongmei, Jinyan Huang, Bing Chen, et al.. (2017). Gene mutational pattern and expression level in 560 acute myeloid leukemia patients and their clinical relevance. Journal of Translational Medicine. 15(1). 178–178. 26 indexed citations
14.
Liu, Ping, Ruihong Zhang, Min Wu, et al.. (2015). Roles of palmitoylation and the KIKK membrane-targeting motif in leukemogenesis by oncogenic KRAS4A. Journal of Hematology & Oncology. 8(1). 132–132. 20 indexed citations
15.
Xu, Peipei, Di Zhou, Jian Ouyang, & Bing Chen. (2015). STAT5gene polymorphisms are associated with the response of acute myeloid leukemia patients to Ara-C-based chemotherapy. Leukemia & lymphoma. 57(4). 921–926. 2 indexed citations
16.
Zhang, Yunxiang, Xiangqin Weng, Jing Wu, et al.. (2015). Clinical significance of day 5 peripheral blast clearance rate in the evaluation of early treatment response and prognosis of patients with acute myeloid leukemia. Journal of Hematology & Oncology. 8(1). 48–48. 7 indexed citations
17.
Mu, Qitian, Yungui Wang, Bing Chen, et al.. (2013). High expression of Musashi-2 indicates poor prognosis in adult B-cell acute lymphoblastic leukemia. Leukemia Research. 37(8). 922–927. 29 indexed citations
18.
19.
Wang, Jing, An Li, Shi Chen, et al.. (2009). Prophylactic Use of Granulocyte Colony-Stimulating Factor after Chemotherapy Does Not Affect Survival Rate in Acute Myeloid Leukemia: A Meta-Analysis. Acta Haematologica. 121(4). 223–226. 5 indexed citations
20.
Chen, Bing, et al.. (2009). Detection of C1236T, G2677T/A, and C3435T polymorphism ofMDR1by amplification refractory mutation system PCR. Journal of Clinical Laboratory Analysis. 23(2). 110–116. 16 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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