Bei Wang

2.5k total citations · 1 hit paper
38 papers, 1.7k citations indexed

About

Bei Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Plant Science. According to data from OpenAlex, Bei Wang has authored 38 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 6 papers in Plant Science. Recurrent topics in Bei Wang's work include CRISPR and Genetic Engineering (11 papers), Neurobiology and Insect Physiology Research (5 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). Bei Wang is often cited by papers focused on CRISPR and Genetic Engineering (11 papers), Neurobiology and Insect Physiology Research (5 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). Bei Wang collaborates with scholars based in United States, China and Australia. Bei Wang's co-authors include Chun Han, Daqi Wang, Yongming Wang, Tatyana Y. Belenkaya, Joseph W. Lewcock, Xinhua Lin, Jin Wang, Huihui Liu, Jixi Li and Jian Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Bei Wang

34 papers receiving 1.7k citations

Hit Papers

Cas12aVDet: A CRISPR/Cas12a-Based Platform for Rapid and ... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bei Wang United States 17 1.2k 410 215 208 169 38 1.7k
Hao Qian China 25 1.4k 1.1× 413 1.0× 233 1.1× 176 0.8× 92 0.5× 64 2.3k
Mi‐Ryoung Song South Korea 27 1.2k 1.0× 363 0.9× 172 0.8× 366 1.8× 149 0.9× 68 2.3k
Xin‐Jun Zhang China 17 717 0.6× 463 1.1× 79 0.4× 280 1.3× 120 0.7× 32 1.3k
Long Li China 18 871 0.7× 162 0.4× 149 0.7× 124 0.6× 86 0.5× 49 1.8k
Peter J. Roy Canada 24 1.1k 0.9× 352 0.9× 158 0.7× 61 0.3× 61 0.4× 51 2.4k
Tyler Cutforth United States 24 862 0.7× 1.2k 2.9× 186 0.9× 231 1.1× 196 1.2× 30 2.4k
Tieqiao Wen China 25 1.3k 1.1× 678 1.7× 104 0.5× 200 1.0× 172 1.0× 89 2.4k
Alvaro Sagasti United States 28 974 0.8× 1.0k 2.5× 662 3.1× 256 1.2× 53 0.3× 48 2.7k
Stanislav L. Karsten United States 20 830 0.7× 342 0.8× 180 0.8× 151 0.7× 95 0.6× 56 1.5k
Fumiko Ozawa Japan 19 1.2k 1.0× 1.3k 3.1× 292 1.4× 283 1.4× 48 0.3× 43 2.2k

Countries citing papers authored by Bei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Bei Wang. A scholar is included among the top collaborators of Bei Wang 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 Bei Wang. Bei Wang 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.
Wang, Qiao‐Ping, Anqi Li, Bei Wang, et al.. (2025). Sucralose uses reward pathways to promote acute caloric intake. Neuropeptides. 110. 102502–102502. 2 indexed citations
2.
Zhao, Xinyuan, Huilin Li, Ying Liu, et al.. (2025). MTCH2 Suppresses Thermogenesis by Regulating Autophagy in Adipose Tissue. Advanced Science. 12(17). e2416598–e2416598. 6 indexed citations
3.
Wang, Bei, et al.. (2025). Phagocytosis-driven neurodegeneration through opposing roles of an ABC transporter in neurons and phagocytes. Science Advances. 11(11). eadr5448–eadr5448.
4.
Wang, Bei, et al.. (2024). In vivo optogenetic manipulations of endogenous proteins reveal spatiotemporal roles of microtubule and kinesin in dendrite patterning. Science Advances. 10(35). eadp0138–eadp0138. 1 indexed citations
6.
Wang, Bei, et al.. (2023). A toolkit for converting Gal4 into LexA and Flippase transgenes in Drosophila. G3 Genes Genomes Genetics. 13(3). 5 indexed citations
7.
Li, Anqi, Shasha Li, Xinyuan Zhao, et al.. (2023). Nutritional geometry framework of sucrose taste in Drosophila. Journal of genetics and genomics. 50(4). 233–240. 4 indexed citations
8.
Schauer, E., et al.. (2023). Coordination of Pickpocket ion channel delivery and dendrite growth in Drosophila sensory neurons. PLoS Genetics. 19(11). e1011025–e1011025.
9.
Wang, Bei, Jun-zhu Chen, Xue‐Qun Luo, et al.. (2022). The application of genome-wide CRISPR-Cas9 screens to dissect the molecular mechanisms of toxins. Computational and Structural Biotechnology Journal. 20. 5076–5084. 14 indexed citations
10.
Zhang, Zijing, et al.. (2021). Upgraded CRISPR/Cas9 tools for tissue-specific mutagenesis in Drosophila. Proceedings of the National Academy of Sciences. 118(14). 16 indexed citations
11.
Chen, Yang, Mary B. Gibbs, Chengyu Sheng, et al.. (2021). Brain-specific lipoprotein receptors interact with astrocyte derived apolipoprotein and mediate neuron-glia lipid shuttling. Nature Communications. 12(1). 2408–2408. 33 indexed citations
12.
Wang, Bei, Daqi Wang, Baolong Zhang, et al.. (2019). krCRISPR: an easy and efficient strategy for generating conditional knockout of essential genes in cells. Journal of Biological Engineering. 13(1). 35–35. 23 indexed citations
13.
Wang, Daqi, Chengdong Zhang, Bei Wang, et al.. (2019). Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning. Nature Communications. 10(1). 4284–4284. 202 indexed citations
14.
Sapar, Maria L., Bei Wang, Amy R. Poe, et al.. (2018). Phosphatidylserine Externalization Results from and Causes Neurite Degeneration in Drosophila. Cell Reports. 24(9). 2273–2286. 79 indexed citations
15.
Poe, Amy R., Bei Wang, Maria L. Sapar, et al.. (2018). Robust CRISPR/Cas9-Mediated Tissue-Specific Mutagenesis Reveals Gene Redundancy and Perdurance inDrosophila. Genetics. 211(2). 459–472. 43 indexed citations
16.
Yang, Xing, et al.. (2016). Investigating the genetic basis of attention to facial expressions. Psychiatric Genetics. 26(6). 266–271. 4 indexed citations
17.
Zhou, Chen, et al.. (2015). MicroRNA 302/367 Cluster Effectively Facilitates Direct Reprogramming from Human Fibroblasts into Functional Neurons. Stem Cells and Development. 24(23). 2746–2755. 19 indexed citations
18.
Polanco, Juan Carlos, Bei Wang, Qi Zhou, et al.. (2013). Enrichment and Purging of Human Embryonic Stem Cells by Detection of Cell Surface Antigens Using the Monoclonal Antibodies TG30 and GCTM-2. Journal of Visualized Experiments. 50856–50856. 1 indexed citations
19.
Wang, Bei, et al.. (2009). Ascl1 is a required downstream effector of Gsx gene function in the embryonic mouse telencephalon. Neural Development. 4(1). 5–5. 56 indexed citations
20.
Han, Chun, Tatyana Y. Belenkaya, Bei Wang, & Xinhua Lin. (2004). Drosophila glypicans control the cell-to-cell movement of Hedgehog by a dynamin-independent process. Development. 131(3). 601–611. 201 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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