Kuan Yao

495 total citations
25 papers, 379 citations indexed

About

Kuan Yao is a scholar working on Ecology, Food Science and Molecular Biology. According to data from OpenAlex, Kuan Yao has authored 25 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecology, 13 papers in Food Science and 11 papers in Molecular Biology. Recurrent topics in Kuan Yao's work include Bacteriophages and microbial interactions (13 papers), Salmonella and Campylobacter epidemiology (12 papers) and Genomics and Phylogenetic Studies (6 papers). Kuan Yao is often cited by papers focused on Bacteriophages and microbial interactions (13 papers), Salmonella and Campylobacter epidemiology (12 papers) and Genomics and Phylogenetic Studies (6 papers). Kuan Yao collaborates with scholars based in United States, China and Denmark. Kuan Yao's co-authors include Marc W. Allard, Maria Hoffmann, Jie Tian, Maria Hoffmann, Zhenyu Liu, Panpan Liu, Tao Han, Narjol González‐Escalona, Yuntai Cao and Junting Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Bacteriology and Small.

In The Last Decade

Kuan Yao

22 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuan Yao United States 10 113 78 73 67 63 25 379
Alireza Moradabadi Iran 12 17 0.2× 46 0.6× 105 1.4× 88 1.3× 13 0.2× 33 394
Steven D. Zumbrun United States 9 35 0.3× 39 0.5× 138 1.9× 31 0.5× 5 0.1× 13 374
Mohammad Mehdi Aslani Iran 12 48 0.4× 100 1.3× 106 1.5× 52 0.8× 28 0.4× 33 336
Michaela Metz Germany 7 21 0.2× 73 0.9× 115 1.6× 79 1.2× 7 0.1× 11 428
M. Verónica Herías Netherlands 10 153 1.4× 17 0.2× 169 2.3× 41 0.6× 26 0.4× 13 461
Michael P. Motley United States 8 10 0.1× 112 1.4× 145 2.0× 70 1.0× 38 0.6× 10 361
Lucía Rossi Italy 11 54 0.5× 78 1.0× 154 2.1× 70 1.0× 8 0.1× 23 465
Dieter Klarmann Germany 11 26 0.2× 49 0.6× 38 0.5× 29 0.4× 6 0.1× 27 428
Kenji Ishida United States 11 26 0.2× 33 0.4× 148 2.0× 62 0.9× 13 0.2× 20 364
Lili Zhao China 12 16 0.1× 66 0.8× 164 2.2× 33 0.5× 7 0.1× 38 427

Countries citing papers authored by Kuan Yao

Since Specialization
Citations

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

Fields of papers citing papers by Kuan Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuan Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Kuan Yao. A scholar is included among the top collaborators of Kuan Yao 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 Kuan Yao. Kuan Yao 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.
Wang, Xiaoyu, Jinquan Li, Kuan Yao, et al.. (2025). Use of acupuncture in stroke and stroke complications: a systematic review and meta-analysis based on sham-controlled trials. Frontiers in Neurology. 16. 1668497–1668497.
2.
Yao, Kuan, Narjol González‐Escalona, & Maria Hoffmann. (2021). Multiple Displacement Amplification as a Solution for Low Copy Number Plasmid Sequencing. Frontiers in Microbiology. 12. 617487–617487. 3 indexed citations
3.
Zhang, Jing, Kuan Yao, Panpan Liu, et al.. (2020). A Radiomics Model for Preoperative Prediction of Brain Invasion in Meningioma Non-Invasively Based on MRI: A Multicentre Study. SSRN Electronic Journal. 1 indexed citations
4.
Hoffmann, Maria, et al.. (2019). A Putative Microcin Amplifies Shiga Toxin 2a Production of Escherichia coli O157:H7. Journal of Bacteriology. 202(1). 11 indexed citations
5.
Wu, Qingxia, Kuan Yao, Zhenyu Liu, et al.. (2019). Radiomics analysis of placenta on T2WI facilitates prediction of postpartum haemorrhage: A multicentre study. EBioMedicine. 50. 355–365. 48 indexed citations
6.
Guard, Jean, Guojie Cao, Yan Luo, et al.. (2019). Genome sequence analysis of 91 Salmonella Enteritidis isolates from mice caught on poultry farms in the mid 1990s. Genomics. 112(1). 528–544. 9 indexed citations
7.
Hammad, Ahmed M., Maria Hoffmann, Narjol González‐Escalona, et al.. (2019). Genomic features of colistin resistant Escherichia coli ST69 strain harboring mcr-1 on IncHI2 plasmid from raw milk cheese in Egypt. Infection Genetics and Evolution. 73. 126–131. 46 indexed citations
8.
Hsu, Chih-Hao, Cong Li, Maria Hoffmann, et al.. (2019). Comparative Genomic Analysis of Virulence, Antimicrobial Resistance, and Plasmid Profiles of Salmonella Dublin Isolated from Sick Cattle, Retail Beef, and Humans in the United States. Microbial Drug Resistance. 25(8). 1238–1249. 36 indexed citations
9.
Zheng, Shuyu, Shiyu Sun, Zhixiang Liu, et al.. (2019). Combinatorial cell surface display system in Escherichia coli for noninvasive colorectal cancer detection. SHILAP Revista de lepidopterología. 2(4). 185–196. 1 indexed citations
10.
M’ikanatha, Nkuchia M., et al.. (2019). Retrospective whole-genome sequencing analysis distinguished PFGE and drug-resistance-matched retail meat and clinical Salmonella isolates. Microbiology. 165(3). 270–286. 14 indexed citations
11.
Sun, Shiyu, Ruimin Wang, Yida Huang, et al.. (2019). Design of Hierarchical Beads for Efficient Label‐Free Cell Capture. Small. 15(34). e1902441–e1902441. 43 indexed citations
12.
Chen, Yi, Arthur Pightling, Yu Wang, et al.. (2018). Genes significantly associated with lineage II food isolates of Listeria monocytogenes. BMC Genomics. 19(1). 708–708. 33 indexed citations
13.
Haendiges, Julie, Kuan Yao, Jesse D. Miller, & Maria Hoffmann. (2018). First Complete Genome Sequence of Salmonella enterica subsp. enterica Serovar Worthington Strain CFSAN051295, Isolated from Pistachio. Microbiology Resource Announcements. 7(20).
14.
Yao, Kuan, N. Rukma Reddy, Guy E. Skinner, et al.. (2018). Closed Genome Sequence of Clostridium botulinum Strain CFSAN064329 (62A). Genome Announcements. 6(26). 2 indexed citations
15.
González‐Escalona, Narjol, Kuan Yao, & Maria Hoffmann. (2018). Closed Genome Sequence of Salmonella enterica Serovar Richmond Strain CFSAN000191, Obtained with Nanopore Sequencing. Microbiology Resource Announcements. 7(23). 3 indexed citations
16.
Hu, Lijun, Guodong Zhang, Marc W. Allard, et al.. (2017). Complete Genome Sequences of Two Salmonella enterica subsp. enterica Serovar Enteritidis Strains Isolated from Egg Products in the United States. Genome Announcements. 5(26). 3 indexed citations
17.
Yao, Kuan, Tim Muruvanda, Richard J. Roberts, et al.. (2016). Complete Genome and Methylome Sequences of Two Salmonella enterica spp. Genome Announcements. 4(1). 4 indexed citations
18.
19.
Chiang, Chih-Yuan, Douglas Lane, Vesna Memišević, et al.. (2015). A reverse-phase protein microarray-based screen identifies host signaling dynamics upon Burkholderia spp. infection. Frontiers in Microbiology. 6. 683–683. 10 indexed citations
20.

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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