Haiyang Wu

2.6k citations
30 papers · 1.4k indexed · 2 hit papers · h-index 11
Topics
Glycosylation and Glycoproteins Research (6 papers)Microbial Metabolites in Food Biotechnology (4 papers)Enzyme Production and Characterization (4 papers)

In The Last Decade

Haiyang Wu

28 papers receiving 1.3k citations

Hit Papers

CRISPR Inversion of CTCF Sites Alters Genome Topology and...201520262018202220152023200400600

Peers

Haiyang Wu
Comparison fields: 5 of 103
  • Molecular Biology 1.2k
  • Plant Science 225
  • Cancer Research 208
  • Genetics 178
  • Nutrition and Dietetics 84
Replace Petros Kolovos with:
Petros Kolovos Netherlands
Vitalyi Senyuk United States
Hai Dang Nguyen United States
Johana Chicher France
Alejandra Medina-Rivera Mexico
Hua‐Jun Wu China
Aurélie Teissandier France
Hongfang Qiu United States
Britta A. M. Bouwman Sweden
Melissa J. Oatley United States
Haiyang Wu relative to Petros Kolovos Netherlands Petros Kolovos's profile →
Citations per field
00.5×1.5×2.3×
Petros Kolovos · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 1
4 4
5 3
6 1
7
Sialidases and fucosidases of Akkermansia muciniphila are crucial for growth on mucin and nutrient sharing with mucus-associated gut bacteriabreakdown →
99
8 20
9 4
10 7
11 20
12 3
13 2
14 9
15 4
16 12
17 50
18 28
19 72
20
CRISPR Inversion of CTCF Sites Alters Genome Topology and Enhancer/Promoter Functionbreakdown →
648

About Haiyang Wu

Haiyang Wu is a scholar working on Ecological Modeling, Biotechnology and Cancer Research, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (6 papers), Microbial Metabolites in Food Biotechnology (4 papers) and Enzyme Production and Characterization (4 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Cancer Research (208 citations) and Genetics (178 citations). Haiyang Wu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Tom Maniatis, Qiang Wu, Ya Guo, Daniele Canzio, Bing Ren, David U. Gorkin, Yonghu Wu, Jinhuan Li, Yichao Lu and Yanan Zhai. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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