Haiyang Wu

2.6k total citations · 2 hit papers
30 papers, 1.4k citations indexed

About

Haiyang Wu is a scholar working on Molecular Biology, Cancer Research and Nutrition and Dietetics. According to data from OpenAlex, Haiyang Wu has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Nutrition and Dietetics. Recurrent topics in Haiyang Wu's work include Glycosylation and Glycoproteins Research (6 papers), Microbial Metabolites in Food Biotechnology (4 papers) and Enzyme Production and Characterization (4 papers). Haiyang Wu is often cited by papers focused on Glycosylation and Glycoproteins Research (6 papers), Microbial Metabolites in Food Biotechnology (4 papers) and Enzyme Production and Characterization (4 papers). Haiyang Wu collaborates with scholars based in China, United Kingdom and United States. Haiyang Wu's co-authors include Ya Guo, Qiang Wu, Tom Maniatis, Adrian R. Krainer, Jia Shou, Jinhuan Li, Bing Ren, Yonghu Wu, Yuanxiao Tang and Yanan Zhai and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Haiyang Wu

28 papers receiving 1.3k citations

Hit Papers

CRISPR Inversion of CTCF ... 2015 2026 2018 2022 2015 2023 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haiyang Wu China 11 1.2k 225 208 178 84 30 1.4k
Petros Kolovos Netherlands 21 1.7k 1.4× 374 1.7× 179 0.9× 255 1.4× 36 0.4× 40 2.0k
Vitalyi Senyuk United States 22 831 0.7× 271 1.2× 124 0.6× 115 0.6× 28 0.3× 45 1.2k
Alejandra Medina-Rivera Mexico 14 1.0k 0.9× 236 1.0× 105 0.5× 227 1.3× 14 0.2× 36 1.3k
Johana Chicher France 17 768 0.6× 282 1.3× 253 1.2× 156 0.9× 17 0.2× 34 1.1k
An Xiao United States 17 1.0k 0.9× 154 0.7× 49 0.2× 213 1.2× 48 0.6× 38 1.3k
Manuel J. Muñoz Argentina 20 2.2k 1.8× 165 0.7× 288 1.4× 123 0.7× 24 0.3× 33 2.4k
Aurélie Teissandier France 11 1.2k 1.0× 314 1.4× 154 0.7× 299 1.7× 12 0.1× 17 1.4k
Anthony K. Henras France 23 2.2k 1.8× 176 0.8× 175 0.8× 83 0.5× 22 0.3× 48 2.3k
Britta A. M. Bouwman Sweden 17 1.5k 1.3× 304 1.4× 156 0.8× 196 1.1× 7 0.1× 22 1.7k
Harry Wischnewski Switzerland 15 1.7k 1.4× 158 0.7× 115 0.6× 92 0.5× 12 0.1× 20 1.9k

Countries citing papers authored by Haiyang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Haiyang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiyang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Haiyang Wu. A scholar is included among the top collaborators of Haiyang 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 Haiyang Wu. Haiyang 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.
Xia, Liqun, et al.. (2025). Enzyme kinetics-guided reaction engineering for enhancing therapeutic enzyme substrate affinity and anti-tumor activity. Chemical Engineering Journal. 519. 165682–165682.
2.
4.
Wu, Haiyang, Rui Wang, David Owen, et al.. (2024). Exploring the sequence-function space of microbial fucosidases. Communications Chemistry. 7(1). 137–137. 4 indexed citations
5.
Pichler, Michael Jakob, Chunsheng Jin, Haiyang Wu, et al.. (2023). Sialidases and fucosidases of Akkermansia muciniphila are crucial for growth on mucin and nutrient sharing with mucus-associated gut bacteria. Nature Communications. 14(1). 1833–1833. 99 indexed citations breakdown →
6.
Ding, Nan, Hong Ru, Rubing Liu, et al.. (2021). The lupus autoantigen La/Ssb is an Xist -binding protein involved in Xist folding and cloud formation. Nucleic Acids Research. 49(20). 11596–11613. 4 indexed citations
7.
Zheng, Zihan, X. Qiu, Haiyang Wu, et al.. (2021). TIPS: trajectory inference of pathway significance through pseudotime comparison for functional assessment of single-cell RNAseq data. Briefings in Bioinformatics. 22(5). 7 indexed citations
8.
9.
Wu, Haiyang, Emmanuelle H. Crost, David Owen, et al.. (2021). The human gut symbiont Ruminococcus gnavus shows specificity to blood group A antigen during mucin glycan foraging: Implication for niche colonisation in the gastrointestinal tract. PLoS Biology. 19(12). e3001498–e3001498. 20 indexed citations
10.
Wang, Huan, Wenqin Luo, Xuliang Wang, et al.. (2021). Testicular Nuclear Receptor 4 Regulates Proliferation and Apoptosis of Bladder Cancer via Bcl-2. Frontiers in Molecular Biosciences. 8. 670409–670409. 4 indexed citations
11.
Fu, Mengjiao, Haiyang Wu, Dong‐Rui Jia, & Bin Tian. (2021). Evolutionary history of a desert perennial Arnebia szechenyi (Boraginaceae): Intraspecific divergence, regional expansion and asymmetric gene flow. Plant Diversity. 43(6). 462–471. 2 indexed citations
12.
Jansen, Bas C., Richard A. Gardner, Paulina A. Urbanowicz, et al.. (2021). Interlaboratory evaluation of plasma N-glycan antennary fucosylation as a clinical biomarker for HNF1A-MODY using liquid chromatography methods. Glycoconjugate Journal. 38(3). 375–386. 9 indexed citations
13.
Urbanowicz, Paulina A., Richard A. Gardner, Haiyang Wu, et al.. (2021). Development of an exoglycosidase plate-based assay for detecting α1-3,4 fucosylation biomarker in individuals with HNF1A-MODY. Glycobiology. 32(3). 230–238. 3 indexed citations
14.
Wu, Haiyang, Emmanuelle H. Crost, David Owen, et al.. (2020). Fucosidases from the human gut symbiont Ruminococcus gnavus. Cellular and Molecular Life Sciences. 78(2). 675–693. 50 indexed citations
15.
Wang, Huan, Zhongyi Li, Yuanlei Chen, et al.. (2020). The prognostic value of miRNA-18a-5p in clear cell renal cell carcinoma and its function via the miRNA-18a-5p/HIF1A/PVT1 pathway. Journal of Cancer. 11(10). 2737–2748. 12 indexed citations
16.
Zhou, Yiwen, Hao Xu, Haiyang Wu, et al.. (2019). Streamlined Low-Input Transcriptomics through EASY-RNAseq. Journal of Molecular Biology. 431(24). 5075–5085. 9 indexed citations
17.
Wu, Haiyang, Zixing Dong, Yongjie Zhang, et al.. (2017). Engineering of Bacillus amyloliquefaciens α‐Amylase with Improved Calcium Independence and Catalytic Efficiency by Error‐Prone PCR. Starch - Stärke. 70(3-4). 8 indexed citations
18.
Xiang, Handan, Lifeng Yuan, Xia Gao, et al.. (2017). UHRF1 is required for basal stem cell proliferation in response to airway injury. Cell Discovery. 3(1). 17019–17019. 28 indexed citations
19.
Su, Jie, Shifei Wu, Haiyang Wu, Le Li, & Tao Guo. (2015). CD44 is functionally crucial for driving lung cancer stem cells metastasis through Wnt/β‐catenin‐FoxM1‐Twist signaling. Molecular Carcinogenesis. 55(12). 1962–1973. 72 indexed citations
20.
Guo, Ya, Quan Xu, Daniele Canzio, et al.. (2015). CRISPR Inversion of CTCF Sites Alters Genome Topology and Enhancer/Promoter Function. Cell. 162(4). 900–910. 648 indexed citations breakdown →

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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