Michael A. L. Hayashi

515 total citations
21 papers, 289 citations indexed

About

Michael A. L. Hayashi is a scholar working on Infectious Diseases, Molecular Biology and Emergency Medical Services. According to data from OpenAlex, Michael A. L. Hayashi has authored 21 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 5 papers in Molecular Biology and 5 papers in Emergency Medical Services. Recurrent topics in Michael A. L. Hayashi's work include Pediatric health and respiratory diseases (5 papers), COVID-19 epidemiological studies (4 papers) and Child Nutrition and Water Access (4 papers). Michael A. L. Hayashi is often cited by papers focused on Pediatric health and respiratory diseases (5 papers), COVID-19 epidemiological studies (4 papers) and Child Nutrition and Water Access (4 papers). Michael A. L. Hayashi collaborates with scholars based in United States, Canada and United Kingdom. Michael A. L. Hayashi's co-authors include Marisa C. Eisenberg, Joseph N. S. Eisenberg, Alicia N.M. Kraay, Rafael Meza, Ian H. Spicknall, Benjamin A. Lopman, Juan S. León, David Berendes, Carl F. Marrs and Ting Luo and has published in prestigious journals such as Scientific Reports, American Journal of Public Health and Emerging infectious diseases.

In The Last Decade

Michael A. L. Hayashi

15 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael A. L. Hayashi United States 7 81 76 57 51 34 21 289
Shanshan He China 8 77 1.0× 100 1.3× 23 0.4× 41 0.8× 23 0.7× 17 309
Derek L.L. Hung Hong Kong 6 33 0.4× 173 2.3× 43 0.8× 28 0.5× 49 1.4× 11 323
Anchi Wu United States 4 47 0.6× 86 1.1× 118 2.1× 34 0.7× 150 4.4× 5 392
M. Jane Morwitzer United States 7 329 4.1× 185 2.4× 49 0.9× 149 2.9× 31 0.9× 9 556
Brandon F. Law United States 14 148 1.8× 67 0.9× 85 1.5× 41 0.8× 54 1.6× 39 611
Cristina Fuentes Spain 10 106 1.3× 305 4.0× 20 0.4× 46 0.9× 25 0.7× 15 425
Qigang Dai China 13 63 0.8× 154 2.0× 127 2.2× 53 1.0× 204 6.0× 43 579
Mengjie Yang China 11 75 0.9× 175 2.3× 58 1.0× 50 1.0× 83 2.4× 34 445
Juxiang Yuan China 9 108 1.3× 33 0.4× 54 0.9× 30 0.6× 122 3.6× 33 454
Tom Wai‐Hin Chung Hong Kong 10 144 1.8× 368 4.8× 68 1.2× 87 1.7× 62 1.8× 16 635

Countries citing papers authored by Michael A. L. Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. L. Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. L. Hayashi. 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 Michael A. L. Hayashi. The network helps show where Michael A. L. Hayashi may publish in the future.

Co-authorship network of co-authors of Michael A. L. Hayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. L. Hayashi. A scholar is included among the top collaborators of Michael A. L. Hayashi 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 Michael A. L. Hayashi. Michael A. L. Hayashi 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.
Hayashi, Michael A. L., et al.. (2025). Dextranase enhances nanoparticle penetration of S. mutans biofilms. Journal of Oral Microbiology. 17(1). 2528561–2528561. 1 indexed citations
2.
3.
Hayashi, Michael A. L., et al.. (2024). Time-lapse confocal microscopy to study in vitro Streptococcus mutans surface colonization. Letters in Applied Microbiology. 77(2). 1 indexed citations
4.
5.
Rickard, Alexander H., et al.. (2024). Bacterial Coaggregation: A Way Different Bacteria Come Together. Frontiers for Young Minds. 11.
6.
Hayashi, Michael A. L., et al.. (2023). Trade-off Between Quarantine Length and Compliance to Optimize COVID-19 Control. Epidemiology. 34(4). 589–600. 1 indexed citations
7.
8.
Hayashi, Michael A. L., et al.. (2022). Shared water facilities and risk of COVID-19 in resource-poor settings: A transmission modelling study. PLOS Water. 1(3). e0000011–e0000011. 3 indexed citations
9.
Hayashi, Michael A. L., et al.. (2022). Shared Sanitation Facilities and Risk of COVID-19 in Resource-Poor Settings: An Agent-Based Modelling Study. SSRN Electronic Journal. 1 indexed citations
10.
Kraay, Alicia N.M., et al.. (2021). Risk for Fomite-Mediated Transmission of SARS-CoV-2 in Child Daycares, Schools, Nursing Homes, and Offices. Emerging infectious diseases. 27(4). 1229–1231. 33 indexed citations
11.
DeJonge, Peter M., Khalil Chedid, Michael A. L. Hayashi, et al.. (2020). Using the MCRISP Network for Surveillance of Pediatric Exanthema in Child Care Centers. Disaster Medicine and Public Health Preparedness. 16(1). 80–85.
12.
Chedid, Khalil, Michael A. L. Hayashi, Peter M. DeJonge, et al.. (2020). Antimicrobial Bacteria and Viruses Detected Through Systematic Sampling in the Childcare Environment. Infection Control and Hospital Epidemiology. 41(S1). s461–s461. 2 indexed citations
13.
Hayashi, Michael A. L., Marisa C. Eisenberg, & Joseph N. S. Eisenberg. (2019). Linking Decision Theory and Quantitative Microbial Risk Assessment: Tradeoffs Between Compliance and Efficacy for Waterborne Disease Interventions. Risk Analysis. 39(10). 2214–2226. 10 indexed citations
14.
DeJonge, Peter M., Emily T. Martin, Michael A. L. Hayashi, & Andrew N. Hashikawa. (2019). Variation in surface decontamination practices among Michigan child care centers compared to state and national guidelines. American Journal of Infection Control. 47(10). 1176–1180. 1 indexed citations
15.
Luo, Ting, Michael A. L. Hayashi, Benjamin T. Circello, et al.. (2019). Introducing BAIT (Biofilm Architecture Inference Tool): a software program to evaluate the architecture of oral multi-species biofilms. Microbiology. 165(5). 527–537. 19 indexed citations
16.
Brown, Joe, Michael A. L. Hayashi, & Joseph N. S. Eisenberg. (2019). The Critical Role of Compliance in Delivering Health Gains from Environmental Health Interventions. American Journal of Tropical Medicine and Hygiene. 100(4). 777–779. 11 indexed citations
17.
DeJonge, Peter M., Emily T. Martin, Michael A. L. Hayashi, Sarah Charlotte Johnson, & Andrew N. Hashikawa. (2019). Communicable Disease Outbreaks in Michigan Child Care Centers Compared With State and Regional Epidemics, 2014–2017. American Journal of Public Health. 109(12). 1707–1710. 5 indexed citations
18.
Luo, Ting, Marisa C. Eisenberg, Michael A. L. Hayashi, et al.. (2018). A Sensitive Thresholding Method for Confocal Laser Scanning Microscope Image Stacks of Microbial Biofilms. Scientific Reports. 8(1). 13013–13013. 21 indexed citations
19.
Kraay, Alicia N.M., Michael A. L. Hayashi, Ian H. Spicknall, et al.. (2018). Fomite-mediated transmission as a sufficient pathway: a comparative analysis across three viral pathogens. BMC Infectious Diseases. 18(1). 540–540. 109 indexed citations
20.
Eisenberg, Marisa C. & Michael A. L. Hayashi. (2014). Determining identifiable parameter combinations using subset profiling. Mathematical Biosciences. 256. 116–126. 71 indexed citations

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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