Shan Bian

2.9k total citations · 2 hit papers
35 papers, 2.1k citations indexed

About

Shan Bian is a scholar working on Molecular Biology, Developmental Neuroscience and Cancer Research. According to data from OpenAlex, Shan Bian has authored 35 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Developmental Neuroscience and 11 papers in Cancer Research. Recurrent topics in Shan Bian's work include MicroRNA in disease regulation (11 papers), Neurogenesis and neuroplasticity mechanisms (10 papers) and Pluripotent Stem Cells Research (8 papers). Shan Bian is often cited by papers focused on MicroRNA in disease regulation (11 papers), Neurogenesis and neuroplasticity mechanisms (10 papers) and Pluripotent Stem Cells Research (8 papers). Shan Bian collaborates with scholars based in China, United States and Germany. Shan Bian's co-authors include Juergen A. Knoblich, Joshua A. Bagley, Tao Sun, Julie Lévi‐Strauss, Daniel Reumann, Zhenming Guo, Thomas R. Burkard, Christian Krauditsch, Anoop Kavirayani and Marko Repic and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Neuroscience.

In The Last Decade

Shan Bian

32 papers receiving 2.0k citations

Hit Papers

Fused cerebral organoids ... 2017 2026 2020 2023 2017 2018 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shan Bian 1.4k 462 452 449 356 35 2.1k
Sabina Kanton 1.7k 1.2× 396 0.9× 455 1.0× 179 0.4× 282 0.8× 13 2.2k
Shigeki Ohta 1.0k 0.7× 367 0.8× 202 0.4× 255 0.6× 590 1.7× 54 2.2k
Sovann Kaing 946 0.7× 757 1.6× 202 0.4× 457 1.0× 311 0.9× 14 2.1k
Barbara S. Mallon 1.3k 0.9× 471 1.0× 398 0.9× 120 0.3× 561 1.6× 38 2.3k
Giorgia Quadrato 1.8k 1.2× 751 1.6× 657 1.5× 138 0.3× 694 1.9× 26 2.6k
David M. Panchision 1.3k 0.9× 596 1.3× 135 0.3× 391 0.9× 379 1.1× 28 2.0k
Tammy L. McGuire 922 0.6× 543 1.2× 179 0.4× 266 0.6× 429 1.2× 39 2.0k
Yechiel Elkabetz 1.5k 1.1× 524 1.1× 215 0.5× 199 0.4× 379 1.1× 18 1.9k
Érika Pastrana 1.7k 1.2× 1.1k 2.3× 229 0.5× 867 1.9× 654 1.8× 21 2.9k
Shauna H. Yuan 1.5k 1.0× 331 0.7× 360 0.8× 125 0.3× 568 1.6× 34 2.4k

Countries citing papers authored by Shan Bian

Since Specialization
Citations

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

Fields of papers citing papers by Shan Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Bian

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Bian. A scholar is included among the top collaborators of Shan Bian 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 Shan Bian. Shan Bian 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.
Huang, Yan, Yaqin Xiang, Pan Hu, et al.. (2025). Biallelic MED16 variants disrupt neural development and lead to an intellectual disability syndrome. Journal of genetics and genomics. 52(10). 1189–1198.
2.
Mao, Xiao, Zhen Liu, Na Jiang, et al.. (2025). CETN3 deficiency induces microcephaly by disrupting neural stem/progenitor cell fate through impaired centrosome assembly and RNA splicing. EMBO Molecular Medicine. 17(10). 2735–2761.
3.
Furnari, Frank B., Corina Anastasaki, Shan Bian, et al.. (2024). Stem cell modeling of nervous system tumors. Disease Models & Mechanisms. 17(2).
4.
Guo, Qilin, Na Zhao, Li‐Pao Fang, et al.. (2024). Adenosine triggers early astrocyte reactivity that provokes microglial responses and drives the pathogenesis of sepsis-associated encephalopathy in mice. Nature Communications. 15(1). 6340–6340. 30 indexed citations
5.
Li, Linbo, Yan Jin, Na Jiang, et al.. (2024). A PCR-independent, annealing-free cloning method for the insertion of short DNA fragments. Acta Biochimica et Biophysica Sinica. 56(12). 1886–1890. 1 indexed citations
6.
Bai, Xianshu, Na Zhao, Li‐Pao Fang, et al.. (2023). In the mouse cortex, oligodendrocytes regain a plastic capacity, transforming into astrocytes after acute injury. Developmental Cell. 58(13). 1153–1169.e5. 15 indexed citations
7.
Xu, Jing, Yanbin Fu, Cong Zhang, et al.. (2022). Reversion of MRAP2 Protein Sequence Generates a Functional Novel Pharmacological Modulator for MC4R Signaling. Biology. 11(6). 874–874. 4 indexed citations
8.
Wang, Meng, Yue Zhai, Xiaowei Lei, et al.. (2022). Determination of the Interaction and Pharmacological Modulation of MCHR1 Signaling by the C-Terminus of MRAP2 Protein. Frontiers in Endocrinology. 13. 848728–848728. 4 indexed citations
9.
Xi, Jiajie, Yanxin Xu, Zhenming Guo, et al.. (2021). LncRNA SOX1‐OT V1 acts as a decoy of HDAC10 to promote SOX1‐dependent hESC neuronal differentiation. EMBO Reports. 23(2). e53015–e53015. 17 indexed citations
10.
Guo, Zhenming, Mengxia Chen, Liangjie Liu, et al.. (2021). RGCC balances self‐renewal and neuronal differentiation of neural stem cells in the developing mammalian neocortex. EMBO Reports. 22(9). e51781–e51781. 14 indexed citations
11.
Guo, Zhenming, et al.. (2020). Application of Fused Organoid Models to Study Human Brain Development and Neural Disorders. Frontiers in Cellular Neuroscience. 14. 133–133. 28 indexed citations
12.
Bian, Shan, Marko Repic, Zhenming Guo, et al.. (2018). Genetically engineered cerebral organoids model brain tumor formation. Nature Methods. 15(8). 631–639. 313 indexed citations breakdown →
13.
Miao, Nan, Shan Bian, Trevor Lee, et al.. (2018). Opposite Roles of Wnt7a and Sfrp1 in Modulating Proper Development of Neural Progenitors in the Mouse Cerebral Cortex. Frontiers in Molecular Neuroscience. 11. 247–247. 9 indexed citations
14.
Renner, Magdalena, Madeline A. Lancaster, Shan Bian, et al.. (2017). Self‐organized developmental patterning and differentiation in cerebral organoids. The EMBO Journal. 36(10). 1316–1329. 262 indexed citations
15.
Bagley, Joshua A., Daniel Reumann, Shan Bian, Julie Lévi‐Strauss, & Juergen A. Knoblich. (2017). Fused cerebral organoids model interactions between brain regions. Nature Methods. 14(7). 743–751. 560 indexed citations breakdown →
16.
Pollock, Andrew, Shan Bian, Chao Zhang, Zhengming Chen, & Tao Sun. (2014). Growth of the Developing Cerebral Cortex Is Controlled by MicroRNA-7 through the p53 Pathway. Cell Reports. 7(4). 1184–1196. 66 indexed citations
17.
Bian, Shan, Tian‐Le Xu, & Tao Sun. (2013). Tuning the cell fate of neurons and glia by microRNAs. Current Opinion in Neurobiology. 23(6). 928–934. 50 indexed citations
19.
Akyüz, Nuray, Sandra Rost, Ali Mehanna, et al.. (2013). Dermatan 4-O-sulfotransferase1 ablation accelerates peripheral nerve regeneration. Experimental Neurology. 247. 517–530. 37 indexed citations
20.
Mehanna, Ali, Bibhudatta Mishra, Christian Schulze, et al.. (2009). Polysialic acid glycomimetics promote myelination and functional recovery after peripheral nerve injury in mice. Brain. 132(6). 1449–1462. 83 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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