Bin Chen

4.1k total citations
118 papers, 3.0k citations indexed

About

Bin Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Bin Chen has authored 118 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 28 papers in Cellular and Molecular Neuroscience and 26 papers in Pharmacology. Recurrent topics in Bin Chen's work include Neurogenesis and neuroplasticity mechanisms (14 papers), Microbial Natural Products and Biosynthesis (12 papers) and Extracellular vesicles in disease (10 papers). Bin Chen is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (14 papers), Microbial Natural Products and Biosynthesis (12 papers) and Extracellular vesicles in disease (10 papers). Bin Chen collaborates with scholars based in China, United States and Japan. Bin Chen's co-authors include Susan K. McConnell, Laura Schaevitz, William L. McKenna, John L.R. Rubenstein, Karpagam Srinivasan, Elizabeth Alcamo, Dino P. Leone, Chao Guo, Matthew J. Eckler and Benjamin Abrams and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Bin Chen

114 papers receiving 2.9k 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 Chen China 31 1.7k 628 587 413 306 118 3.0k
Sung‐Wuk Jang South Korea 24 1.2k 0.7× 314 0.5× 727 1.2× 197 0.5× 175 0.6× 56 2.6k
Hyang‐Sook Hoe South Korea 32 1.5k 0.9× 331 0.5× 832 1.4× 181 0.4× 294 1.0× 92 3.3k
Donald Pizzo United States 31 1.7k 1.0× 298 0.5× 643 1.1× 577 1.4× 161 0.5× 80 3.1k
Elin Lehrmann United States 35 1.8k 1.1× 204 0.3× 681 1.2× 532 1.3× 207 0.7× 78 3.4k
Bernadette Allinquant France 25 1.6k 1.0× 757 1.2× 882 1.5× 170 0.4× 244 0.8× 74 3.3k
Tracy L. Young‐Pearse United States 35 2.8k 1.7× 364 0.6× 1.0k 1.8× 588 1.4× 210 0.7× 82 4.4k
Takafumi Wataya Japan 13 4.0k 2.4× 607 1.0× 979 1.7× 140 0.3× 356 1.2× 28 5.9k
Vassiliki Nikoletopoulou Greece 16 1.2k 0.7× 220 0.4× 451 0.8× 177 0.4× 193 0.6× 31 2.7k
Quanhong Ma China 26 1.2k 0.7× 275 0.4× 450 0.8× 168 0.4× 157 0.5× 95 2.5k
Santiago Rivera France 36 1.3k 0.8× 332 0.5× 907 1.5× 929 2.2× 221 0.7× 73 3.3k

Countries citing papers authored by Bin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Bin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Chen. A scholar is included among the top collaborators of Bin 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 Bin Chen. Bin 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.
Chen, Bin, Jing Zhou, Zhiming Li, et al.. (2025). Two cases of Amyloid-Related Imaging Abnormalities (ARIA) following lecanemab treatment for alzheimer’s disease and a literature review. BMC Neurology. 25(1). 281–281. 2 indexed citations
2.
Li, Duoduo, et al.. (2025). Repair of high-flow cerebrospinal fluid leak by combined artificial dura plug and free mucosal flap in 15 cases. Frontiers in Surgery. 12. 1422524–1422524.
3.
Chen, Bin, Md. Shoriful Islam, Qing Zhai, et al.. (2024). UBL3 Interacts with PolyQ-Expanded Huntingtin Fragments and Modifies Their Intracellular Sorting. Neurology International. 16(6). 1175–1188. 2 indexed citations
4.
Guo, Heng, Minghua Jiang, Junjie Chen, et al.. (2023). Absolute configuration of cyclopropanes and the structural revision of pyrones from Marine-derived fungus Stagonospora sp. SYSU-MS7888. Bioorganic Chemistry. 136. 106542–106542. 10 indexed citations
6.
Chen, Bin, Qing Zhai, Chi Zhang, et al.. (2023). UBL3 Interacts with Alpha-Synuclein in Cells and the Interaction Is Downregulated by the EGFR Pathway Inhibitor Osimertinib. Biomedicines. 11(6). 1685–1685. 7 indexed citations
7.
Chen, Bin, Chi Zhang, Qing Zhai, et al.. (2023). A New Potential Therapeutic Target for Cancer in Ubiquitin-Like Proteins—UBL3. International Journal of Molecular Sciences. 24(2). 1231–1231. 4 indexed citations
8.
Song, Cheng, Dong Wang, & Bin Chen. (2023). A systematic review and meta-analysis comparing the efficacy and safety of ketamine versus morphine for the treatment of acute pain. Minerva Anestesiologica. 90(1-2). 77–86. 2 indexed citations
9.
Xie, Chen, Fengyi Wang, Ye Sang, et al.. (2022). Mitochondrial Micropeptide STMP1 Enhances Mitochondrial Fission to Promote Tumor Metastasis. Cancer Research. 82(13). 2431–2443. 58 indexed citations
11.
Chen, Bin, et al.. (2022). Traumatic optic neuropathy: a review of current studies. Neurosurgical Review. 45(3). 1895–1913. 43 indexed citations
12.
Wang, Xiaoju, et al.. (2020). Delicaflavone Reverses Cisplatin Resistance via Endoplasmic Reticulum Stress Signaling Pathway in Non-Small Cell Lung Cancer Cells. SHILAP Revista de lepidopterología. 1 indexed citations
13.
Wang, Xuegang, Tao Wang, Chenxi Chen, et al.. (2018). Serum exosomal miR‐210 as a potential biomarker for clear cell renal cell carcinoma. Journal of Cellular Biochemistry. 120(2). 1492–1502. 75 indexed citations
14.
Shen, Qinglin, Haitao Yang, Caixia Peng, et al.. (2018). Capture and biological release of circulating tumor cells in pancreatic cancer based on peptide-functionalized silicon nanowire substrate. International Journal of Nanomedicine. Volume 14. 205–214. 22 indexed citations
15.
Wang, Xuegang, et al.. (2017). Serum exosomal miR-210 as a noninvasive molecular diagnosis biomarker in clear cell renal cell carcinoma. Zhonghua miniao waike zazhi. 38(9). 707–711. 1 indexed citations
16.
Lou, Haizhou, Hongming Pan, Pan Qin, et al.. (2014). The novel mTORC1/2 dual inhibitor INK-128 suppresses survival and proliferation of primary and transformed human pancreatic cancer cells. Biochemical and Biophysical Research Communications. 450(2). 973–978. 25 indexed citations
17.
Kumamoto, Takuma, Gunadi Gunadi, William L. McKenna, et al.. (2013). Foxg1 Coordinates the Switch from Nonradially to Radially Migrating Glutamatergic Subtypes in the Neocortex through Spatiotemporal Repression. Cell Reports. 3(3). 931–945. 76 indexed citations
18.
Zhou, Jian, Fei Liu, Bin Chen, et al.. (2013). Significance of MDM2-309 Polymorphisms and Induced Corresponding Plasma MDM2 Levels in Susceptibility to Laryngeal Squamous Cell Carcinoma. DNA and Cell Biology. 33(2). 88–94. 10 indexed citations
20.
Leone, Dino P., Karpagam Srinivasan, Bin Chen, Elizabeth Alcamo, & Susan K. McConnell. (2008). The determination of projection neuron identity in the developing cerebral cortex. Current Opinion in Neurobiology. 18(1). 28–35. 275 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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