Bin Zeng

489 total citations
24 papers, 326 citations indexed

About

Bin Zeng is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Bin Zeng has authored 24 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Cancer Research and 6 papers in Epidemiology. Recurrent topics in Bin Zeng's work include MicroRNA in disease regulation (11 papers), Extracellular vesicles in disease (9 papers) and Autophagy in Disease and Therapy (5 papers). Bin Zeng is often cited by papers focused on MicroRNA in disease regulation (11 papers), Extracellular vesicles in disease (9 papers) and Autophagy in Disease and Therapy (5 papers). Bin Zeng collaborates with scholars based in China, Thailand and Japan. Bin Zeng's co-authors include Doudou Liu, Hongyun Xing, Jianyu Wang, Xiaoshuang Li, Yuting Chen, Jingyuan Li, Ting Ye, Hao Chen, Zhiwei Sun and Zhiwei Sun and has published in prestigious journals such as Frontiers in Immunology, Biochemical Pharmacology and Experimental Cell Research.

In The Last Decade

Bin Zeng

24 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bin Zeng China 12 232 156 63 48 34 24 326
Areeg Faggad Sudan 12 268 1.2× 164 1.1× 33 0.5× 96 2.0× 25 0.7× 18 406
Jintong Ji China 10 192 0.8× 100 0.6× 32 0.5× 81 1.7× 38 1.1× 12 303
Bifei Huang China 12 185 0.8× 97 0.6× 31 0.5× 91 1.9× 54 1.6× 30 333
Yi Liao China 14 211 0.9× 98 0.6× 34 0.5× 60 1.3× 85 2.5× 19 358
Michael Spafford United States 6 193 0.8× 81 0.5× 33 0.5× 121 2.5× 33 1.0× 9 383
Rachael Guenter United States 8 117 0.5× 59 0.4× 64 1.0× 93 1.9× 12 0.4× 17 260
Chaojie Wang United States 9 192 0.8× 46 0.3× 28 0.4× 64 1.3× 35 1.0× 14 325
Hsin-Chieh Tsay Germany 4 213 0.9× 133 0.9× 54 0.9× 24 0.5× 15 0.4× 5 339

Countries citing papers authored by Bin Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Bin Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Zeng. A scholar is included among the top collaborators of Bin Zeng 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 Bin Zeng. Bin Zeng 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.
Chen, Yuting, Bin Zeng, Meng Xiang, et al.. (2025). The exosomal miRNA-3184-3p derived from highly metastatic melanoma cells promotes metastatic competency via the positive feedback loop of NLK/Wnt/S100A11. Biochemical Pharmacology. 240. 117086–117086. 1 indexed citations
2.
Wu, Yuwei, Jinbao Wang, Xianghong Zhou, et al.. (2024). Construction for the predictive model of quality of life in patients after robot-assisted radical prostatectomy: a cohort study. International Journal of Medical Sciences. 21(15). 2981–2991. 2 indexed citations
3.
Zeng, Bin, Yuting Chen, Hao Chen, et al.. (2023). Synergistic inhibition of NUDT21 by secretory S100A11 and exosomal miR‐487a‐5p promotes melanoma oligo‐ to poly‐metastatic progression. Molecular Oncology. 17(12). 2743–2766. 5 indexed citations
4.
Liu, Yu, et al.. (2023). miR-383-5p serves as a tumor suppressor in bladder cancer by suppressing PI3K/AKT signaling pathway. Cancer Biomarkers. 37(2). 121–131. 4 indexed citations
5.
Wang, Danqing, et al.. (2023). Correlation between connexin 43 expression in circulating tumor cells and biological characteristics of breast cancer. Heliyon. 9(8). e18697–e18697. 2 indexed citations
6.
Zeng, Bin, Yuting Chen, Hao Chen, et al.. (2023). Exosomal miR-211-5p regulates glucose metabolism, pyroptosis, and immune microenvironment of melanoma through GNA15. Pharmacological Research. 188. 106660–106660. 23 indexed citations
7.
Sun, Zhiwei, Doudou Liu, Bin Zeng, et al.. (2022). Sec23a inhibits the self-renewal of melanoma cancer stem cells via inactivation of ER-phagy. Cell Communication and Signaling. 20(1). 22–22. 9 indexed citations
8.
Chen, Hao, Xiaoshuang Li, Bin Zeng, et al.. (2022). Low-metastatic melanoma cells acquire enhanced metastatic capability via exosomal transfer of miR-199a-1-5p from highly metastatic melanoma cells. Cell Death Discovery. 8(1). 188–188. 12 indexed citations
9.
10.
Chen, Hao, Bin Zeng, Xiaoshuang Li, et al.. (2022). High-Metastatic Melanoma Cells Promote the Metastatic Capability of Low-Metastatic Melanoma Cells via Exosomal Transfer of miR-411-5p. Frontiers in Oncology. 12. 895164–895164. 14 indexed citations
11.
Liu, Doudou, Xiaoshuang Li, Bin Zeng, et al.. (2022). Exosomal microRNA-4535 of Melanoma Stem Cells Promotes Metastasis by Inhibiting Autophagy Pathway. Stem Cell Reviews and Reports. 19(1). 155–169. 35 indexed citations
12.
Li, Xiaoshuang, Doudou Liu, Hao Chen, et al.. (2022). Melanoma stem cells promote metastasis via exosomal miR-1268a inactivation of autophagy. Biological Research. 55(1). 29–29. 18 indexed citations
13.
Zeng, Bin, et al.. (2021). SEC23A Inhibit Melanoma Metastatic through Secretory PF4 Cooperation with SPARC to Inhibit MAPK Signaling Pathway. International Journal of Biological Sciences. 17(12). 3000–3012. 12 indexed citations
14.
Zeng, Bin, Zhiwei Sun, Doudou Liu, et al.. (2021). SEC23A Is an Independent Prognostic Biomarker in Bladder Cancer Correlated With MAPK Signaling. Frontiers in Genetics. 12. 672832–672832. 7 indexed citations
15.
Wang, Jianyu, Doudou Liu, Zhiwei Sun, et al.. (2021). Autophagy augments the self-renewal of lung cancer stem cells by the degradation of ubiquitinated p53. Cell Death and Disease. 12(1). 98–98. 35 indexed citations
16.
Sun, Zhiwei, et al.. (2020). S100A8 transported by SEC23A inhibits metastatic colonization via autocrine activation of autophagy. Cell Death and Disease. 11(8). 650–650. 15 indexed citations
17.
Ye, Ting, Jingyuan Li, Doudou Liu, et al.. (2020). Cdh1 functions as an oncogene by inducing self-renewal of lung cancer stem-like cells via oncogenic pathways. International Journal of Biological Sciences. 16(3). 447–459. 20 indexed citations
18.
Gao, Jie, Gang Zhao, Wei Li, et al.. (2018). MiR-155 targets PTCH1 to mediate endothelial progenitor cell dysfunction caused by high glucose. Experimental Cell Research. 366(1). 55–62. 36 indexed citations
19.
Yin, Guobing, Bin Zeng, Zhiping Peng, et al.. (2018). Synthesis and application of 131I-fulvestrant as a targeted radiation drug for endocrine therapy in human breast cancer. Oncology Reports. 39(3). 1215–1226. 8 indexed citations
20.
Zhang, Zhiming, et al.. (2012). Penehyclidine enhances the efficacy of tropisetron in prevention of PONV following gynecological laparoscopic surgery. Journal of Anesthesia. 26(6). 864–869. 10 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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