Daying Wen

1.1k total citations
16 papers, 865 citations indexed

About

Daying Wen is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Virology. According to data from OpenAlex, Daying Wen has authored 16 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Public Health, Environmental and Occupational Health, 6 papers in Molecular Biology and 5 papers in Virology. Recurrent topics in Daying Wen's work include Mosquito-borne diseases and control (7 papers), HIV Research and Treatment (5 papers) and Malaria Research and Control (4 papers). Daying Wen is often cited by papers focused on Mosquito-borne diseases and control (7 papers), HIV Research and Treatment (5 papers) and Malaria Research and Control (4 papers). Daying Wen collaborates with scholars based in Australia, Singapore and Switzerland. Daying Wen's co-authors include Subhash G. Vasudevan, Siew Pheng Lim, Julien Lescar, Patrick Chêne, Ting Xu, Alex Chao, Max Nanao, Aruna Sampath, David Beer and John P. Priestle and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Stroke.

In The Last Decade

Daying Wen

16 papers receiving 845 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daying Wen Australia 13 513 290 274 148 72 16 865
Sari Lusa Finland 12 281 0.5× 549 1.9× 306 1.1× 106 0.7× 16 0.2× 15 1.2k
Suzanne Li United States 7 507 1.0× 312 1.1× 77 0.3× 60 0.4× 8 0.1× 7 779
Alexandra Blancke Soares Germany 9 603 1.2× 232 0.8× 76 0.3× 63 0.4× 8 0.1× 13 849
Ilaria Russo United Kingdom 14 465 0.9× 270 0.9× 53 0.2× 40 0.3× 11 0.2× 17 839
Patrick Eldin France 12 179 0.3× 311 1.1× 118 0.4× 69 0.5× 10 0.1× 29 682
Pierre Daubersies France 15 443 0.9× 530 1.8× 47 0.2× 89 0.6× 9 0.1× 19 1.1k
Jin‐Hee Han South Korea 15 378 0.7× 174 0.6× 66 0.2× 24 0.2× 10 0.1× 94 742
Takeshi Annoura Japan 15 486 0.9× 281 1.0× 47 0.2× 31 0.2× 21 0.3× 39 751
Marisa E. McGrath United States 12 124 0.2× 284 1.0× 148 0.5× 32 0.2× 9 0.1× 19 655

Countries citing papers authored by Daying Wen

Since Specialization
Citations

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

Fields of papers citing papers by Daying Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daying Wen

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

All Works

16 of 16 papers shown
1.
Sun, Jia, et al.. (2022). Phenotypic and genotypic characterisation of Lactobacillus and yeast isolates from a traditional New Zealand Māori potato starter culture. Current Research in Food Science. 5. 1287–1294. 1 indexed citations
2.
Wen, Daying, et al.. (2013). Inhibition studies on Mycobacterium tuberculosis N-acetylglucosamine-1-phosphate uridyltransferase (GlmU). Organic & Biomolecular Chemistry. 11(46). 8113–8113. 27 indexed citations
3.
Kalev‐Zylinska, Maggie L., Peng Sun, Daying Wen, et al.. (2013). Stroke Patients Develop Antibodies That React With Components of N -Methyl- d -Aspartate Receptor Subunit 1 in Proportion to Lesion Size. Stroke. 44(8). 2212–2219. 25 indexed citations
4.
Phong, Wai Yee, Nicole J. Moreland, Siew Pheng Lim, et al.. (2011). Dengue protease activity: the structural integrity and interaction of NS2B with NS3 protease and its potential as a drug target. Bioscience Reports. 31(5). 399–409. 42 indexed citations
5.
Podvinec, Michael, Siew Pheng Lim, Tobias Schmidt, et al.. (2010). Novel Inhibitors of Dengue Virus Methyltransferase: Discovery by in Vitro-Driven Virtual Screening on a Desktop Computer Grid. Journal of Medicinal Chemistry. 53(4). 1483–1495. 63 indexed citations
6.
Su, Xun‐Cheng, Kiyoshi Ozawa, Hiromasa Yagi, et al.. (2009). NMR study of complexes between low molecular mass inhibitors and the West Nile virus NS2B–NS3 protease. FEBS Journal. 276(15). 4244–4255. 31 indexed citations
7.
Bodenreider, Christophe, David Beer, Thomas H. Keller, et al.. (2009). A fluorescence quenching assay to discriminate between specific and nonspecific inhibitors of dengue virus protease. Analytical Biochemistry. 395(2). 195–204. 86 indexed citations
8.
Yap, Thai Leong, Yen‐Liang Chen, Ting Xu, et al.. (2007). A multi-step strategy to obtain crystals of the dengue virus RNA-dependent RNA polymerase that diffract to high resolution. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 63(2). 78–83. 15 indexed citations
9.
Xu, Ting, Aruna Sampath, Alex Chao, et al.. (2006). Towards the Design of Flavivirus Helicase/NTPase Inhibitors: Crystallographic and Mutagenesis Studies of the Dengue Virus NS3 Helicase Catalytic Domain. Novartis Foundation symposium. 277. 87–101. 19 indexed citations
10.
Li, Jun, Siew Pheng Lim, David Beer, et al.. (2005). Functional Profiling of Recombinant NS3 Proteases from All Four Serotypes of Dengue Virus Using Tetrapeptide and Octapeptide Substrate Libraries. Journal of Biological Chemistry. 280(31). 28766–28774. 208 indexed citations
11.
Xu, Yibin, Daying Wen, Chun‐Jung Chen, et al.. (2005). Expression, purification and crystallization of the C-terminal domain ofEscherichia coliadenylyltransferase. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 61(7). 663–665. 2 indexed citations
12.
Xu, Ting, Aruna Sampath, Alex Chao, et al.. (2005). Structure of the Dengue Virus Helicase/Nucleoside Triphosphatase Catalytic Domain at a Resolution of 2.4 A. Journal of Virology. 79(16). 10278–10288. 171 indexed citations
13.
Xu, Yibin, Daying Wen, Paula Clancy, et al.. (2003). Expression, purification, crystallization, and preliminary X-ray analysis of the N-terminal domain of Escherichia coli adenylyl transferase. Protein Expression and Purification. 34(1). 142–146. 8 indexed citations
14.
Wilkinson, Lorine, Gabriel Kolle, Daying Wen, et al.. (2003). CRIM1 Regulates the Rate of Processing and Delivery of Bone Morphogenetic Proteins to the Cell Surface. Journal of Biological Chemistry. 278(36). 34181–34188. 88 indexed citations
15.
Poh, Alisa, Asanka Karunaratne, Gabriel Kolle, et al.. (2002). Patterning of the vertebrate ventral spinal cord. The International Journal of Developmental Biology. 46(4). 597–608. 26 indexed citations
16.
Heeswijk, Wally C. van, Daying Wen, Paula Clancy, et al.. (2000). The Escherichia coli signal transducers PII (GlnB) and GlnK form heterotrimers in vivo : Fine tuning the nitrogen signal cascade. Proceedings of the National Academy of Sciences. 97(8). 3942–3947. 53 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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