Wei Dai

13.7k total citations · 3 hit papers
280 papers, 10.4k citations indexed

About

Wei Dai is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Wei Dai has authored 280 papers receiving a total of 10.4k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Molecular Biology, 72 papers in Cell Biology and 51 papers in Oncology. Recurrent topics in Wei Dai's work include Microtubule and mitosis dynamics (60 papers), DNA Repair Mechanisms (31 papers) and Cancer-related Molecular Pathways (27 papers). Wei Dai is often cited by papers focused on Microtubule and mitosis dynamics (60 papers), DNA Repair Mechanisms (31 papers) and Cancer-related Molecular Pathways (27 papers). Wei Dai collaborates with scholars based in United States, China and Hong Kong. Wei Dai's co-authors include Zbigniew Darżynkiewicz, Luo Lu, Suqing Xie, Frank Traganos, Da-Zhong Xu, Chinthalapally V. Rao, Meena Jhanwar‐Uniyal, Xuan Huang, Qi Cheng and Fuquan Yang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Wei Dai

274 papers receiving 10.3k citations

Hit Papers

Ferroptosis as a target f... 2016 2026 2019 2022 2019 2016 2025 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Wei Dai 5.9k 2.2k 2.0k 1.6k 1.3k 280 10.4k
Yibin Wang 13.7k 2.3× 1.7k 0.7× 1.9k 1.0× 1.8k 1.1× 999 0.8× 551 23.0k
Fuquan Yang 4.7k 0.8× 574 0.3× 1.0k 0.5× 1.4k 0.9× 1.2k 0.9× 173 7.9k
Keith A. Houck 8.2k 1.4× 810 0.4× 1.9k 1.0× 3.0k 1.9× 890 0.7× 111 17.0k
Roger R. Reddel 13.6k 2.3× 773 0.3× 3.0k 1.6× 1.8k 1.2× 1.4k 1.1× 238 20.9k
Dongmei Gao 3.0k 0.5× 627 0.3× 1.4k 0.7× 1.9k 1.2× 644 0.5× 217 6.8k
Tomi P. Mäkelä 7.6k 1.3× 1.6k 0.7× 2.5k 1.3× 1.3k 0.8× 398 0.3× 190 12.9k
Yan Liu 4.3k 0.7× 1.2k 0.5× 954 0.5× 977 0.6× 1.0k 0.8× 400 11.4k
Shuli Li 2.1k 0.4× 1.3k 0.6× 1.2k 0.6× 657 0.4× 746 0.6× 239 6.9k
Veli‐Matti Kosma 4.1k 0.7× 1.6k 0.7× 2.5k 1.3× 1.8k 1.1× 842 0.7× 200 9.0k
J. Carl Barrett 10.7k 1.8× 742 0.3× 6.8k 3.5× 5.3k 3.4× 4.6k 3.6× 313 21.2k

Countries citing papers authored by Wei Dai

Since Specialization
Citations

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

Fields of papers citing papers by Wei Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Dai. A scholar is included among the top collaborators of Wei Dai 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 Wei Dai. Wei Dai 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.
Kuang, Yaoyun, Hengxu Mao, Minshan Chen, et al.. (2024). α-Synuclein seeding amplification assays for diagnosing synucleinopathies: an innovative tool in clinical implementation. Translational Neurodegeneration. 13(1). 56–56. 5 indexed citations
2.
Dai, Wei, Zhe Fang, Yiming Jiang, et al.. (2023). Toward High-Pitting Resistance and Low-Cost Austenitic Stainless Steel: The Role of Carbon Alloying. CORROSION. 79(11). 1297–1308. 3 indexed citations
3.
Li, Yongshu, Jia Song, & Wei Dai. (2020). Fisetin Modulates Human Oral Squamous Cell Carcinoma Proliferation by Blocking PAK4 Signaling Pathways. SHILAP Revista de lepidopterología. 1 indexed citations
4.
Yang, Feikun, et al.. (2017). Arsenic-induced sumoylation of Mus81 is involved in regulating genomic stability. Cell Cycle. 16(8). 802–811. 17 indexed citations
5.
Wu, Liang, Jianbing Jiang, Yi Jin, et al.. (2017). Activity-based probes for functional interrogation of retaining β-glucuronidases. Nature Chemical Biology. 13(8). 867–873. 84 indexed citations
6.
Rao, Chinthalapally V., Yuting Zhang, Laura Biddick, et al.. (2016). Systemic Chromosome Instability Resulted in Colonic Transcriptomic Changes in Metabolic, Proliferation, and Stem Cell Regulators in Sgo1 −/+ Mice. Cancer Research. 76(3). 630–642. 19 indexed citations
7.
Wang, Ling, Wei Dai, & Luo Lu. (2014). Osmotic Stress-induced Phosphorylation of H2AX by Polo-like Kinase 3 Affects Cell Cycle Progression in Human Corneal Epithelial Cells. Journal of Biological Chemistry. 289(43). 29827–29835. 17 indexed citations
8.
Xu, Da-Zhong, Jing Zhou, Yupo Ma, et al.. (2013). Differential responses to genotoxic agents between induced pluripotent stem cells and tumor cell lines. Journal of Hematology & Oncology. 6(1). 71–71. 11 indexed citations
9.
Dai, Wei. (2013). A Method Based on Computational Fluid Dynamics for Solar Radiation Error Correction of Sounding Temperature Sensors. Chuangan jishu xuebao. 1 indexed citations
10.
Yao, Yixin & Wei Dai. (2012). Shugoshins function as a guardian for chromosomal stability in nuclear division. Cell Cycle. 11(14). 2631–2642. 18 indexed citations
11.
Dai, Wei, Jiaqi Gao, Gang Cao, & Feng Ouyang. (2012). [Characterization of atmospheric PM2.5 in the suburb of Shenzhen].. PubMed. 33(6). 1952–7. 2 indexed citations
12.
Naik, Meghna U., Ngoc Trinh Thi Pham, Kristin Beebe, Wei Dai, & Ulhas P. Naik. (2010). Calcium‐dependent inhibition of polo‐like kinase 3 activity by CIB1 in breast cancer cells. International Journal of Cancer. 128(3). 587–596. 25 indexed citations
13.
Yang, Yali, Jingxiang Bai, Rulong Shen, et al.. (2008). Polo-like Kinase 3 Functions as a Tumor Suppressor and Is a Negative Regulator of Hypoxia-Inducible Factor-1α under Hypoxic Conditions. Cancer Research. 68(11). 4077–4085. 99 indexed citations
14.
Zhou, Heng, Jing Gao, Zhanjun Lu, et al.. (2007). Role of c‐Fos/JunD in protecting stress‐induced cell death. Cell Proliferation. 40(3). 431–444. 47 indexed citations
15.
Tanaka, Toshiki, Akira Kurose, Xuan Huang, Wei Dai, & Zbigniew Darżynkiewicz. (2006). ATM activation and histone H2AX phosphorylation as indicators of DNA damage by DNA topoisomerase I inhibitor topotecan and during apoptosis. Cell Proliferation. 39(1). 49–60. 52 indexed citations
16.
Dai, Wei & John Cogswell. (2003). Polo-like kinases and the microtubule organization center: targets for cancer therapies.. PubMed. 5. 327–34. 26 indexed citations
17.
Dai, Wei, et al.. (2001). Expression of Human Epidermal Growth Factor Gene in Cyanobacteria. Journal of Integrative Plant Biology. 43(12). 1260–1264. 2 indexed citations
18.
Hennigan, Robert F., et al.. (2000). Incomplete cytokinesis and induction of apoptosis by overexpression of the mammalian polo-like kinase, Plk3.. PubMed. 60(24). 6826–31. 72 indexed citations
19.
Dai, Wei, et al.. (1994). Human Indoleamine 2,3-Dioxygenase Inhibits Toxoplasma gondii Growth in Fibroblast Cells. Journal of Interferon Research. 14(6). 313–317. 46 indexed citations
20.
Dai, Wei. (1993). The Development and Present Situation of Brown Earth and Drab Soil in the Mountain Regions of Beijing. Beijing Linye Daxue xuebao. 15(2). 125–128. 4 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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