Kaiyu Wu

1.3k total citations · 1 hit paper
13 papers, 1.1k citations indexed

About

Kaiyu Wu is a scholar working on Infectious Diseases, Molecular Biology and Gastroenterology. According to data from OpenAlex, Kaiyu Wu has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 7 papers in Molecular Biology and 4 papers in Gastroenterology. Recurrent topics in Kaiyu Wu's work include Antimicrobial Resistance in Staphylococcus (6 papers), Gastrointestinal motility and disorders (4 papers) and Bacterial biofilms and quorum sensing (4 papers). Kaiyu Wu is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (6 papers), Gastrointestinal motility and disorders (4 papers) and Bacterial biofilms and quorum sensing (4 papers). Kaiyu Wu collaborates with scholars based in Canada, China and United States. Kaiyu Wu's co-authors include Kunyan Zhang, John Conly, Björn Petri, Bryan G. Yipp, Craig N. Jenne, Brittney Scott, Stephen E. Malawista, Davide Salina, Lori Zbytnuik and Keir Pittman and has published in prestigious journals such as Nature Medicine, Clinical Infectious Diseases and Journal of Bacteriology.

In The Last Decade

Kaiyu Wu

13 papers receiving 1.1k citations

Hit Papers

Infection-induced NETosis is a dynamic process involving ... 2012 2026 2016 2021 2012 250 500 750

Peers

Kaiyu Wu
Comparison fields: 5 of 83
  • Immunology 807
  • Molecular Biology 350
  • Infectious Diseases 185
  • Pulmonary and Respiratory Medicine 130
  • Epidemiology 117
Replace Karen Poon with:
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Emma K. Persson Sweden
Aoi Akitsu Japan
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Thomas W. Spahn Germany
Elin Jaensson Gyllenbäck Sweden
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Karen Poon Canada View profile →
Citations per field, relative to Kaiyu Wu
Kaiyu Wu · 1×
Citations per year, relative to Kaiyu Wu
Kaiyu Wu · 1×

Countries citing papers authored by Kaiyu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kaiyu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiyu Wu

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 5
2 14
3 19
4 10
5 23
6 1
7 8
8 19
9
Infection-induced NETosis is a dynamic process involving neutrophil multitasking in vivo breakdown →
901
10 10
11 32
12
Determination of Ca in a High P/Ca Liquid Compound Fertilizer
1
13 22

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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