Wen‐Yang Wu

3.2k total citations · 1 hit paper
25 papers, 2.3k citations indexed

About

Wen‐Yang Wu is a scholar working on Molecular Biology, Epidemiology and Organic Chemistry. According to data from OpenAlex, Wen‐Yang Wu has authored 25 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Epidemiology and 5 papers in Organic Chemistry. Recurrent topics in Wen‐Yang Wu's work include Influenza Virus Research Studies (7 papers), Glycosylation and Glycoproteins Research (5 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Wen‐Yang Wu is often cited by papers focused on Influenza Virus Research Studies (7 papers), Glycosylation and Glycoproteins Research (5 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Wen‐Yang Wu collaborates with scholars based in Australia, China and United States. Wen‐Yang Wu's co-authors include Betty Jin, Mark von Itzstein, Michael S. Pegg, Jeffrey C. Dyason, Stuart W. Oliver, Gaik B. Kok, Peter M. Colman, David Ryan, Joseph Varghese and Richard C. Bethell and has published in prestigious journals such as Nature, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Wen‐Yang Wu

21 papers receiving 2.2k citations

Hit Papers

Rational design of potent sialidase-based inhibitors of i... 1993 2026 2004 2015 1993 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen‐Yang Wu Australia 17 1.2k 1.0k 674 230 213 25 2.3k
Zhibin Yan China 16 1.5k 1.3× 218 0.2× 244 0.4× 153 0.7× 206 1.0× 39 2.5k
Shailja Singh India 25 780 0.7× 357 0.3× 400 0.6× 40 0.2× 421 2.0× 187 2.8k
Kwang Hee Lee South Korea 30 1.0k 0.8× 385 0.4× 251 0.4× 38 0.2× 189 0.9× 127 3.6k
Hassan Mohabatkar Iran 22 2.0k 1.7× 130 0.1× 160 0.2× 106 0.5× 101 0.5× 101 2.6k
Steffen Rupp Germany 37 2.5k 2.1× 1.1k 1.1× 190 0.3× 185 0.8× 279 1.3× 115 4.4k
Alessandra Polissi Italy 32 1.6k 1.4× 426 0.4× 219 0.3× 37 0.2× 214 1.0× 86 3.5k
Sharon Shui Yee Leung Hong Kong 35 761 0.6× 210 0.2× 86 0.1× 164 0.7× 85 0.4× 84 3.0k
Taisei Kanamoto Japan 23 655 0.6× 235 0.2× 180 0.3× 66 0.3× 270 1.3× 69 1.7k
Manuel Banzhaf United Kingdom 18 1.5k 1.2× 222 0.2× 123 0.2× 22 0.1× 71 0.3× 40 2.7k
K.C. Gupta India 25 1.1k 1.0× 231 0.2× 164 0.2× 48 0.2× 95 0.4× 111 2.0k

Countries citing papers authored by Wen‐Yang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Yang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen‐Yang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Yang Wu. A scholar is included among the top collaborators of Wen‐Yang Wu 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 Wen‐Yang Wu. Wen‐Yang Wu 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.
Wu, Wen‐Yang, W. Du, Klaas J. Hellingwerf, & Filipe Branco dos Santos. (2025). Enhancement of D‐mannitol production by fine‐tuned expression of mannitol‐1‐phosphate dehydrogenase in Synechocystis sp. PCC6803. Biotechnology Progress. 41(4). e70027–e70027.
4.
Wu, Wen‐Yang, et al.. (2023). Design and mechanical evaluation of additively-manufactured graded TPMS lattices with biodegradable polymer composites. Journal of Materials Research and Technology. 23. 2868–2880. 42 indexed citations
5.
Cui, Shixiu, Xueqin Lv, Guoyun Sun, et al.. (2022). Recent advances and prospects in purification and heterologous expression of lactoferrin. SHILAP Revista de lepidopterología. 1(1). 58–67. 24 indexed citations
6.
Wu, Wen‐Yang, et al.. (2022). Gastroesophageal Reflux Disease Symptoms after Laparoscopic Sleeve Gastrectomy: A Retrospective Study. Journal of Personalized Medicine. 12(11). 1795–1795. 4 indexed citations
7.
Wu, Wen‐Yang, et al.. (2020). Using osmotic stress to stabilize mannitol production in Synechocystis sp. PCC6803. Biotechnology for Biofuels. 13(1). 117–117. 19 indexed citations
8.
Wu, Wen‐Yang, Yong Chen, Shah Faisal, et al.. (2016). Improving methane production in cow dung and corn straw co-fermentation systems via enhanced degradation of cellulose by cabbage addition. Scientific Reports. 6(1). 33628–33628. 16 indexed citations
9.
Wu, Wen‐Yang, Haiying Huang, Zhenmin Ling, et al.. (2015). Genome sequencing reveals mechanisms for heavy metal resistance and polycyclic aromatic hydrocarbon degradation in Delftia lacustris strain LZ-C. Ecotoxicology. 25(1). 234–247. 57 indexed citations
10.
Zhang, Xiaowei, et al.. (2014). Global transcriptome analysis of hexavalent chromium stress responses in Staphylococcus aureus LZ-01. Ecotoxicology. 23(8). 1534–1545. 28 indexed citations
11.
Watson, Keith G., Rachel Cameron, David Gower, et al.. (2004). Highly potent and long-acting trimeric and tetrameric inhibitors of influenza virus neuraminidase. Bioorganic & Medicinal Chemistry Letters. 14(6). 1589–1592. 44 indexed citations
12.
McKimm‐Breschkin, Jennifer L., Peter M. Colman, Betty Jin, et al.. (2003). Tethered Neuraminidase Inhibitors That Bind an Influenza Virus: A First Step Towards a Diagnostic Method for Influenza. Angewandte Chemie. 115(27). 3226–3229. 5 indexed citations
13.
McKimm‐Breschkin, Jennifer L., Peter M. Colman, Betty Jin, et al.. (2003). Tethered Neuraminidase Inhibitors That Bind an Influenza Virus: A First Step Towards a Diagnostic Method for Influenza. Angewandte Chemie International Edition. 42(27). 3118–3121. 23 indexed citations
14.
Wu, Wen‐Yang, Betty Jin, Guy Y. Krippner, & Keith G. Watson. (2000). Synthesis of a polymeric 4-N-linked sialoside which inhibits influenza virus hemagglutinin. Bioorganic & Medicinal Chemistry Letters. 10(4). 341–343. 20 indexed citations
15.
Wu, Wen‐Yang, Betty Jin, David C. M. Kong, & Mark von Itzstein. (1997). A facile synthesis of a useful 5-N-substituted-3,5-dideoxy-d-glycero-d-galacto-nonulosonic acid from 2-acetamido-2-deoxy-d-glucose. Carbohydrate Research. 300(2). 171–174. 6 indexed citations
16.
Itzstein, Mark von, Jeffrey C. Dyason, Stuart W. Oliver, et al.. (1996). A Study of the Active Site of Influenza Virus Sialidase:  An Approach to the Rational Design of Novel Anti-influenza Drugs. Journal of Medicinal Chemistry. 39(2). 388–391. 84 indexed citations
17.
Itzstein, Mark von, Wen‐Yang Wu, & Betty Jin. (1994). The synthesis of 2,3-didehydro-2,4-dideoxy-4-guanidinyl-N-acetylneuraminic acid: a potent influenza virus sialidase inhibitor. Carbohydrate Research. 259(2). 301–305. 122 indexed citations
19.
Itzstein, Mark von, Wen‐Yang Wu, Gaik B. Kok, et al.. (1993). Rational design of potent sialidase-based inhibitors of influenza virus replication. Nature. 363(6428). 418–423. 1465 indexed citations breakdown →
20.
Wu, Wen‐Yang, et al.. (1988). Retention of stereochemistry in the ring-opening of penicillin V sulphone p-nitrobenzyl ester. Journal of the Chemical Society Perkin Transactions 1. 183–183.

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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