Aisi Fu

2.6k citations
24 papers · 752 indexed · h-index 12

Impact in

Papers in

Aisi Fu

22 papers receiving 740 citations

Peers

Aisi Fu
Comparison fields: 5 of 100
  • Microbiology 8
  • Infectious Diseases 173
  • Clinical Biochemistry 62
  • Endocrinology 40
  • Molecular Medicine 32
Replace Yoshiki Misawa with:
Yoshiki Misawa Japan
Marc Pihet France
Shih-Hua Teng Taiwan
Kirstin J. Edwards United Kingdom
Paras Jain United States
Felix Mba Medie United States
Joseph J. Dajcs United States
Solomon Mwaigwisya United Kingdom
Michael R Mcginnis United States
James Gomez United States
Aisi Fu relative to Yoshiki Misawa Japan Yoshiki Misawa's profile →
Citations per field
00.5×
Yoshiki Misawa · 1×
Citations per year

Countries citing papers authored by Aisi Fu

Since Specialization
Citations

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

Fields of papers citing papers by Aisi Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Aisi Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aisi Fu Line = papers co-authored together Aisi Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20240
4 20235
5 202311
6 20238
7 202118
8 2020174
9 202047
10 20201
11 201910
12 201854
13 201730
14 20176
15 201632
16 201388
17 201317
18 20114
19 2007188
20
Seroprevalence of IgG antibody to SARS coronavirus (SARS-CoV) in a population-based sample of close contacts of all 1,755 cases in Hong Kong
20043

About Aisi Fu

Aisi Fu is a scholar working on Clinical Biochemistry, Infectious Diseases, Ophthalmology, Molecular Medicine and Endocrinology, having authored 24 papers that have together received 752 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Infective Endocarditis Diagnosis and Management (4 papers), Nanopore and Nanochannel Transport Studies (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Ocular Infections and Treatments (2 papers), Microbial Community Ecology and Physiology (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Microbiology (8 citations), Infectious Diseases (173 citations), Clinical Biochemistry (62 citations), Endocrinology (40 citations) and Molecular Medicine (32 citations). Aisi Fu has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Tiangang Liu, Ran Liu, Matthew D. Wilkerson, Jon Duvick, Carolyn J. Lawrence, Volker Brendel, Usha Muppirala, Zixin Deng, Fayin Zhu and Lei Lü. Their work appears in journals such as Small, Journal of Industrial Microbiology & Biotechnology, Journal of Personalized Medicine, Clinical and Experimental Ophthalmology and Metabolic Engineering.

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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