Michael Payne

964 total citations
50 papers, 655 citations indexed

About

Michael Payne is a scholar working on Endocrinology, Food Science and Molecular Biology. According to data from OpenAlex, Michael Payne has authored 50 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrinology, 15 papers in Food Science and 14 papers in Molecular Biology. Recurrent topics in Michael Payne's work include Salmonella and Campylobacter epidemiology (15 papers), Vibrio bacteria research studies (10 papers) and Solid State Laser Technologies (9 papers). Michael Payne is often cited by papers focused on Salmonella and Campylobacter epidemiology (15 papers), Vibrio bacteria research studies (10 papers) and Solid State Laser Technologies (9 papers). Michael Payne collaborates with scholars based in Australia, United Kingdom and China. Michael Payne's co-authors include Ian Elder, Ruiting Lan, Xiaomei Zhang, Sophie Octavia, Sandeep Kaur, Vitali Sintchenko, Lijuan Luo, Alex Andrianopoulos, Kylie J. Boyce and Laurence Don Wai Luu and has published in prestigious journals such as Nature Communications, Bioinformatics and Scientific Reports.

In The Last Decade

Michael Payne

46 papers receiving 637 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 Payne Australia 15 196 156 149 129 107 50 655
Gang Luo China 15 64 0.3× 39 0.3× 203 1.4× 322 2.5× 231 2.2× 33 895
Anita Neumann Germany 7 99 0.5× 63 0.4× 84 0.6× 115 0.9× 165 1.5× 13 638
M. Beaudoin Canada 15 171 0.9× 141 0.9× 96 0.6× 208 1.6× 23 0.2× 36 698
Hiroki Ando Japan 15 39 0.2× 21 0.1× 185 1.2× 290 2.2× 603 5.6× 23 1.3k
Delphine Brun France 14 86 0.4× 64 0.4× 436 2.9× 59 0.5× 224 2.1× 24 856
Jonathan J. Wilksch Australia 23 17 0.1× 64 0.4× 233 1.6× 97 0.8× 611 5.7× 37 1.3k
Akira Iwamoto Japan 12 55 0.3× 37 0.2× 48 0.3× 249 1.9× 258 2.4× 29 641
S. Sato Japan 13 47 0.2× 39 0.3× 67 0.4× 28 0.2× 173 1.6× 48 600
Yasuko Senda Japan 13 19 0.1× 24 0.2× 155 1.0× 189 1.5× 150 1.4× 24 652
Jean‐Michel Fournier France 17 226 1.2× 10 0.1× 60 0.4× 200 1.6× 335 3.1× 56 1.0k

Countries citing papers authored by Michael Payne

Since Specialization
Citations

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

Fields of papers citing papers by Michael Payne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Payne

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Payne. A scholar is included among the top collaborators of Michael Payne 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 Payne. Michael Payne 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.
Lowe, Christopher F., Gordon Ritchie, Nancy Matic, et al.. (2025). Diphtheria Toxin–Producing Corynebacterium ramonii in Inner-City Population, Vancouver, British Columbia, Canada, 2019–2023. Emerging infectious diseases. 31(2). 323–327.
2.
Payne, Michael, et al.. (2024). Genomic evidence of two-staged transmission of the early seventh cholera pandemic. Nature Communications. 15(1). 8504–8504. 2 indexed citations
3.
Payne, Michael, Dalong Hu, Qinning Wang, et al.. (2024). DODGE: automated point source bacterial outbreak detection using cumulative long term genomic surveillance. Bioinformatics. 40(7). 2 indexed citations
4.
5.
Payne, Michael, Sarah Williamson, Qinning Wang, et al.. (2024). Emergence of Poultry-Associated Human Salmonella enterica Serovar Abortusovis Infections, New South Wales, Australia. Emerging infectious diseases. 30(4). 691–700. 1 indexed citations
6.
Williamson, Sarah, Michael Payne, Sandeep Kaur, et al.. (2024). Genomic diversity of Salmonella enterica serovar Typhimurium isolated from chicken processing facilities in New South Wales, Australia. Frontiers in Microbiology. 15. 1440777–1440777. 1 indexed citations
7.
Luo, Lijuan, Michael Payne, Qinning Wang, et al.. (2023). Genomic Epidemiology and Multilevel Genome Typing of Australian Salmonella enterica Serovar Enteritidis. Microbiology Spectrum. 11(1). e0301422–e0301422. 6 indexed citations
8.
Kaur, Sandeep, Michael Payne, Lijuan Luo, et al.. (2022). MGTdb: a web service and database for studying the global and local genomic epidemiology of bacterial pathogens. Database. 2022. 7 indexed citations
9.
Zhang, Xiaomei, Michael Payne, Sandeep Kaur, & Ruiting Lan. (2022). Improved Genomic Identification, Clustering, and Serotyping of Shiga Toxin-Producing Escherichia coli Using Cluster/Serotype-Specific Gene Markers. Frontiers in Cellular and Infection Microbiology. 11. 772574–772574. 16 indexed citations
10.
11.
Luo, Yun, Henghui Wang, Julian Ye, et al.. (2021). Population Structure and Multidrug Resistance of Non-O1/Non-O139 Vibrio cholerae in Freshwater Rivers in Zhejiang, China. Microbial Ecology. 82(2). 319–333. 12 indexed citations
12.
Luu, Laurence Don Wai, Michael Payne, Xiaomei Zhang, Lijuan Luo, & Ruiting Lan. (2021). Development and comparison of novel multiple cross displacement amplification (MCDA) assays with other nucleic acid amplification methods for SARS-CoV-2 detection. Scientific Reports. 11(1). 1873–1873. 18 indexed citations
13.
Payne, Michael, et al.. (2021). Multilevel Genome Typing Describes Short- and Long-Term Vibrio cholerae Molecular Epidemiology. mSystems. 6(4). e0013421–e0013421. 6 indexed citations
14.
Payne, Michael, Sandeep Kaur, Qinning Wang, et al.. (2020). Multilevel genome typing: genomics-guided scalable resolution typing of microbial pathogens. Eurosurveillance. 25(20). 17 indexed citations
15.
Zhang, Xiaomei, Michael Payne, Qinning Wang, Vitali Sintchenko, & Ruiting Lan. (2020). Highly Sensitive and Specific Detection and Serotyping of Five Prevalent Salmonella Serovars by Multiple Cross-Displacement Amplification. Journal of Molecular Diagnostics. 22(5). 708–719. 9 indexed citations
16.
Zhang, Xiaomei, Michael Payne, & Ruiting Lan. (2019). In silico Identification of Serovar-Specific Genes for Salmonella Serotyping. Frontiers in Microbiology. 10. 835–835. 20 indexed citations
17.
Luan, Yang, Yarong Li, Xiaokang Peng, et al.. (2019). Genomic epidemiology of erythromycin-resistant Bordetella pertussis in China. Emerging Microbes & Infections. 8(1). 461–470. 47 indexed citations
18.
Boyce, Kylie J., et al.. (2012). Tools for high efficiency genetic manipulation of the human pathogen Penicillium marneffei. Fungal Genetics and Biology. 49(10). 772–778. 43 indexed citations
19.
Payne, Michael, et al.. (2011). Amish, Mennonite, and Hutterite Genetic Disorder Database. Paediatrics & Child Health. 16(3). e23–e24. 28 indexed citations
20.
Elder, Ian & Michael Payne. (1998). YAP versus YAG as a diode-pumped host for thulium. Optics Communications. 148(4-6). 265–269. 58 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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