Michael P. Ward

23.0k total citations · 2 hit papers
595 papers, 14.9k citations indexed

About

Michael P. Ward is a scholar working on Agronomy and Crop Science, Infectious Diseases and Genetics. According to data from OpenAlex, Michael P. Ward has authored 595 papers receiving a total of 14.9k indexed citations (citations by other indexed papers that have themselves been cited), including 156 papers in Agronomy and Crop Science, 146 papers in Infectious Diseases and 111 papers in Genetics. Recurrent topics in Michael P. Ward's work include Animal Disease Management and Epidemiology (154 papers), Vector-Borne Animal Diseases (83 papers) and Viral Infections and Vectors (75 papers). Michael P. Ward is often cited by papers focused on Animal Disease Management and Epidemiology (154 papers), Vector-Borne Animal Diseases (83 papers) and Viral Infections and Vectors (75 papers). Michael P. Ward collaborates with scholars based in Australia, United States and United Kingdom. Michael P. Ward's co-authors include Robert Topel, Navneet K. Dhand, Victoria Brookes, William Butz, Mark Kelman, Tim E. Carpenter, Salome Dürr, Matthew J. Ellington, J. Coelho and Samuel Brown and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Nature Biotechnology.

In The Last Decade

Michael P. Ward

569 papers receiving 14.1k citations

Hit Papers

Multiplex PCR for genes encoding prevalent OXA carb... 1992 2026 2003 2014 2006 1992 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael P. Ward Australia 54 2.9k 2.3k 2.2k 2.2k 1.9k 595 14.9k
Kuldeep Dhama India 83 8.6k 3.0× 1.5k 0.6× 5.4k 2.5× 3.1k 1.4× 1.1k 0.6× 923 28.6k
Christl A. Donnelly United Kingdom 74 6.7k 2.3× 3.2k 1.4× 2.8k 1.2× 3.9k 1.8× 1.4k 0.7× 354 20.1k
Wei Liu China 67 9.6k 3.3× 583 0.2× 5.1k 2.3× 3.4k 1.6× 1.2k 0.6× 1.1k 24.3k
Marius Gilbert Belgium 52 3.8k 1.3× 3.4k 1.4× 1.2k 0.5× 2.9k 1.3× 753 0.4× 180 15.9k
James O. Lloyd‐Smith United States 45 3.3k 1.2× 1.4k 0.6× 1.2k 0.5× 2.4k 1.1× 1.6k 0.8× 117 9.4k
David M. Morens United States 58 6.9k 2.4× 1.3k 0.6× 2.2k 1.0× 6.7k 3.0× 754 0.4× 170 17.2k
Oliver G. Pybus United Kingdom 79 10.7k 3.7× 2.5k 1.0× 4.8k 2.2× 10.4k 4.7× 4.0k 2.1× 303 27.7k
Neil M. Ferguson United Kingdom 76 8.5k 2.9× 2.6k 1.1× 2.3k 1.1× 8.5k 3.8× 1.7k 0.9× 296 25.4k
Mark Woolhouse United Kingdom 68 6.1k 2.1× 4.8k 2.1× 2.4k 1.1× 2.2k 1.0× 3.1k 1.6× 330 20.6k
Bryan T. Grenfell United States 94 8.4k 2.9× 3.8k 1.6× 2.4k 1.1× 9.8k 4.4× 6.3k 3.3× 407 38.2k

Countries citing papers authored by Michael P. Ward

Since Specialization
Citations

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

Fields of papers citing papers by Michael P. Ward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael P. Ward

This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. Ward. A scholar is included among the top collaborators of Michael P. Ward 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 P. Ward. Michael P. Ward 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.
Norris, Jacqueline M., et al.. (2025). Emerging human and canine leptospirosis in New South Wales: insights from a One Health geospatial study. PubMed. 4. 100126–100126.
2.
Lee, Rogan, et al.. (2025). Rainfall- and Temperature-Driven Emergence of Neural Angiostrongyliasis in Eastern Australia, 2020–2024. The Journal of Infectious Diseases. 232(1). e150–e158. 1 indexed citations
3.
Ward, Michael P., et al.. (2025). The spread of canine rabies in eastern Indonesia and risks to Australia. Microbiology Australia. 46(1). 29–33.
4.
Chen, Xi, Yuanhua Liu, Jiaqi Huang, et al.. (2025). Spatiotemporal filtering modeling of hand, foot, and mouth disease: a case study from East China, 2009–2015. Epidemiology and Infection. 153. e61–e61.
6.
Ward, Michael P., et al.. (2024). Optimization of Screening Strategies for COVID-19: Scoping Review. JMIR Public Health and Surveillance. 10. e44349–e44349. 2 indexed citations
7.
Ward, Michael P., et al.. (2024). Serological evidence of exposure of healthy dogs to Leptospira in Sydney, New South Wales, Australia. Australian Veterinary Journal. 102(4). 215–221. 5 indexed citations
9.
Norris, Jacqueline M., et al.. (2023). Landscape, Socioeconomic, and Meteorological Risk Factors for Canine Leptospirosis in Urban Sydney (2017–2023): A Spatial and Temporal Study. Veterinary Sciences. 10(12). 697–697. 4 indexed citations
10.
Liu, Yuanhua, Michael P. Ward, Wei Tu, et al.. (2023). Impacts of sample ratio and size on the performance of random forest model to predict the potential distribution of snail habitats. Geospatial health. 18(2). 1 indexed citations
11.
Li, Ke, Shi Jin, Xin Liu, et al.. (2022). Early warning signals for Omicron outbreaks in China: A retrospective study. Journal of Medical Virology. 95(1). e28341–e28341. 6 indexed citations
12.
Halasa, Tariq, Jim Young, Michael P. Ward, et al.. (2021). The impact of African swine fever virus on smallholder village pig production: An outbreak investigation in Lao PDR. Transboundary and Emerging Diseases. 68(5). 2897–2908. 23 indexed citations
13.
Sadler, Rohan J., et al.. (2020). Mycoplasma bovisoutbreak in New Zealand cattle: An assessment of transmission trends using surveillance data. Transboundary and Emerging Diseases. 68(6). 3381–3395. 10 indexed citations
14.
Xia, Congcong, Yi Hu, Michael P. Ward, et al.. (2019). Identification of high-risk habitats of Oncomelania hupensis, the intermediate host of schistosoma japonium in the Poyang Lake region, China: A spatial and ecological analysis. PLoS neglected tropical diseases. 13(6). e0007386–e0007386. 19 indexed citations
15.
Beukers, Alicia G., Rahat Zaheer, Shaun R. Cook, et al.. (2018). Comparison of antimicrobial resistance genes in feedlots and urban wastewater.. PubMed. 82(1). 24–38. 9 indexed citations
16.
Leahy, Michael F., Syed Aqif Mukhtar, Shannon L. Farmer, et al.. (2013). A pragmatic approach to embedding patient blood management in a tertiary hospital. Transfusion. 54(4). 1133–1145. 67 indexed citations
17.
Mullan, Siobhan, et al.. (2011). Welfare science into practice: a successful case example of working with industry. Animal Welfare. 20(4). 597–601. 7 indexed citations
18.
O’Connor, Annette M., Jan M. Sargeant, Ian A. Gardner, et al.. (2010). The REFLECT statement: Methods and processes of creating reporting guidelines for randomized controlled trials for livestock and food safety. Journal of Swine Health and Production. 18(1). 18–26. 12 indexed citations
19.
Ward, Michael P., et al.. (2007). Airtraq rescues failed fibreoptic intubation.. PubMed. 153(3). 220–220. 1 indexed citations
20.
Laffan, Shawn W., et al.. (2007). A Geographic Automata System for Modelling Disease Outbreaks. UNSWorks (UNSW Sydney). 1 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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