Weiwen Dai

1.4k total citations
35 papers, 1.1k citations indexed

About

Weiwen Dai is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Weiwen Dai has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Cell Biology and 8 papers in Cancer Research. Recurrent topics in Weiwen Dai's work include Protease and Inhibitor Mechanisms (7 papers), Microtubule and mitosis dynamics (5 papers) and Microbial metabolism and enzyme function (4 papers). Weiwen Dai is often cited by papers focused on Protease and Inhibitor Mechanisms (7 papers), Microtubule and mitosis dynamics (5 papers) and Microbial metabolism and enzyme function (4 papers). Weiwen Dai collaborates with scholars based in Australia, China and United States. Weiwen Dai's co-authors include Stephen Bottomley, Lisa D. Cabrita, Scott A. White, Zongxiang Xia, Isabelle S. Lucet, James M. Murphy, F. Scott Mathews, James C. Whisstock, Robert N. Pike and Victor L. Davidson and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Weiwen Dai

34 papers receiving 1.1k citations

Peers

Weiwen Dai

IMMUN

Günter Krause Germany

Danming Tang United States

Jonathan P. Schuermann United States

Emadoldin Feyzi Norway

Kun Chen China

Jill O. Fuss United States

Chien‐Hung Yeh United States

Martin H. Hager United States

Ingrid Dreveny United Kingdom

S. Gräslund Sweden

Günter Krause Germany

Weiwen Dai

793 ×1.0

223 ×0.8

159 ×0.9

28 ×0.3

191 ×1.8

IMMUN

Citations per year, relative to Weiwen Dai Weiwen Dai (= 1×) peers Günter Krause

Countries citing papers authored by Weiwen Dai

Since Specialization

Citations

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

Fields of papers citing papers by Weiwen Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiwen Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Weiwen Dai. A scholar is included among the top collaborators of Weiwen 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 Weiwen Dai. Weiwen Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Dai, Weiwen, et al.. (2025). Construction of a photocatalytic-membrane separation coupled system via click chemistry-synthesized TiO2/biochar composites for ranitidine degradation in water: Mechanisms, pathways, and theoretical calculations. Separation and Purification Technology. 371. 133327–133327. 2 indexed citations

Zhang, Huiqin, et al.. (2024). Mechanism of adsorption and targeted degradation of antimicrobial micropollutant sulfamethoxazole in aquatic environments. Chemosphere. 365. 143302–143302. 1 indexed citations

Baudin, Maël, Lung‐Yu Liang, Weiwen Dai, et al.. (2024). Molecular dissection of the pseudokinase ZED1 expands effector recognition to the tomato immune receptor ZAR1. PLANT PHYSIOLOGY. 196(1). 651–666. 2 indexed citations

Dai, Weiwen, et al.. (2024). Immobilization of Pb2+ and Cd2+ in water by sodium alginate magnet-biochar composite and LCA evaluation. Journal of Water Process Engineering. 67. 106259–106259. 5 indexed citations

Roy, Michael J., Jianmei Hou, Weiwen Dai, et al.. (2023). Structural mapping of PEAK pseudokinase interactions identifies 14-3-3 as a molecular switch for PEAK3 signaling. Nature Communications. 14(1). 3542–3542. 10 indexed citations

Patel, Onisha, et al.. (2022). Production and purification of the PEAK pseudokinases for structural and functional studies. Methods in enzymology on CD-ROM/Methods in enzymology. 667. 1–35. 2 indexed citations

Patel, Onisha, et al.. (2021). Structural basis for small molecule targeting of Doublecortin Like Kinase 1 with DCLK1-IN-1. Communications Biology. 4(1). 1105–1105. 18 indexed citations

Sleebs, Brad E., Kate E. Jarman, Sonja Frölich, et al.. (2020). Development and application of a high-throughput screening assay for identification of small molecule inhibitors of the P. falciparum reticulocyte binding-like homologue 5 protein. International Journal for Parasitology Drugs and Drug Resistance. 14. 188–200. 3 indexed citations

Niederwieser, Igor, Weiwen Dai, Nicolas M. B. Brancucci, et al.. (2019). Mapping and functional analysis of heterochromatin protein 1 phosphorylation in the malaria parasite Plasmodium falciparum. Scientific Reports. 9(1). 16720–16720. 10 indexed citations

10.

Chen, Kelan, Shifeng Xue, Weiwen Dai, et al.. (2018). FSHD2- and BAMS-associated mutations confer opposing effects on SMCHD1 function. Journal of Biological Chemistry. 293(25). 9841–9853. 26 indexed citations

11.

Petrie, Emma J., Jarrod J. Sandow, Annette V. Jacobsen, et al.. (2018). Conformational switching of the pseudokinase domain promotes human MLKL tetramerization and cell death by necroptosis. Nature Communications. 9(1). 2422–2422. 147 indexed citations

12.

Patel, Onisha, Michael D. W. Griffin, Santosh Panjikar, et al.. (2017). Structure of SgK223 pseudokinase reveals novel mechanisms of homotypic and heterotypic association. Nature Communications. 8(1). 1157–1157. 33 indexed citations

13.

Porebski, Benjamin T., Adrian A. Nickson, Emilia M. Marijanovic, et al.. (2016). Smoothing a rugged protein folding landscape by sequence-based redesign. Scientific Reports. 6(1). 33958–33958. 20 indexed citations

14.

Patel, Onisha, Weiwen Dai, Michael D. W. Griffin, et al.. (2016). Biochemical and Structural Insights into Doublecortin-like Kinase Domain 1. Structure. 24(9). 1550–1561. 45 indexed citations

15.

Knaupp, Anja S., et al.. (2013). The Roles of Helix I and Strand 5A in the Folding, Function and Misfolding of α1-Antitrypsin. PLoS ONE. 8(1). e54766–e54766. 15 indexed citations

16.

Levina, Vita, Weiwen Dai, Anja S. Knaupp, et al.. (2009). Expression, purification and characterization of recombinant Z α1-Antitrypsin—The most common cause of α1-Antitrypsin deficiency. Protein Expression and Purification. 68(2). 226–232. 20 indexed citations

17.

Cabrita, Lisa D., Weiwen Dai, & Stephen Bottomley. (2006). A family of E. coliexpression vectors for laboratory scale and high throughput soluble protein production. BMC Biotechnology. 6(1). 12–12. 120 indexed citations

18.

Dai, Weiwen, et al.. (2002). Processing and analysis of ECG signal using nonorthogonal wavelet transform. 7 indexed citations

19.

Bottomley, Stephen, et al.. (2001). The role of strand 1 of the C β‐sheet in the structure and function of α₁‐antitrypsin. Protein Science. 10(12). 2518–2524. 10 indexed citations

20.

Dunstone, Michelle A., Jamie Rossjohn, Susanne C. Feil, et al.. (2000). Cleaved antitrypsin polymers at atomic resolution. Protein Science. 9(2). 417–420. 68 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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