Michael D. Lairmore
- Agronomy and Crop Science top 0.05%
- Animal Disease Management and Epidemiology 106
- Immunology top 0.5%
- T-cell and Retrovirus Studies 122
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- Vector-Borne Animal Diseases 103
- Microbiology top 1%
- Microbial infections and disease research 6
- Virology top 2%
- HIV Research and Treatment 7
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- Virus-based gene therapy research 13
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- Herpesvirus Infections and Treatments 8
- Cytomegalovirus and herpesvirus research 7
- Co-authors
- Patrick L. GreenBjörn AlbrechtLee RatnerJames C. DeMartiniDaniel D. SedmakBrian M. RahillWei DingNathaniel D. Collins
- Journals
- Proceedings of the National Academy of Sciences (3 papers)The Lancet (2 papers)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Michael D. Lairmore
163 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 113
- Agronomy and Crop Science 2.9k
- Immunology 3.8k
- Ecology, Evolution, Behavior and Systematics 2.6k
- Microbiology 67
- Virology 377
Countries citing papers authored by Michael D. Lairmore
This map shows the geographic impact of Michael D. Lairmore'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 D. Lairmore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Lairmore more than expected).
Fields of papers citing papers by Michael D. Lairmore
This network shows the impact of papers produced by Michael D. Lairmore. 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 D. Lairmore. The network helps show where Michael D. Lairmore may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael D. Lairmore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 15 | |
| 2 | 2011 | 23 | |
| 3 | 2011 | 22 | |
| 4 | 2009 | 3 | |
| 5 | 2008 | 17 | |
| 6 | 2007 | 28 | |
| 7 | 2007 | 14 | |
| 8 | 2006 | 49 | |
| 9 | 2006 | 19 | |
| 10 | 2004 | 9 | |
| 11 | 2000 | 25 | |
| 12 | 1994 | 21 | |
| 13 | 1993 | 11 | |
| 14 | 1992 | 13 | |
| 15 | 1991 | 19 | |
| 16 | 1990 | 20 | |
| 17 | 1990 | 8 | |
| 18 | 1990 | 18 | |
| 19 | 1988 | 38 | |
| 20 | 1988 | 29 |
About Michael D. Lairmore
Michael D. Lairmore is a scholar working on Agronomy and Crop Science, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 163 papers that have together received 5.4k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (122 papers), Animal Disease Management and Epidemiology (106 papers), Vector-Borne Animal Diseases (103 papers), Virus-based gene therapy research (13 papers), Herpesvirus Infections and Treatments (8 papers), HIV Research and Treatment (7 papers), Cytomegalovirus and herpesvirus research (7 papers) and Microbial infections and disease research (6 papers). The work is most often cited by research in Agronomy and Crop Science (2.9k citations), Immunology (3.8k citations) and Ecology, Evolution, Behavior and Systematics (2.6k citations). Michael D. Lairmore has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Patrick L. Green, Björn Albrecht, Lee Ratner, James C. DeMartini, Daniel D. Sedmak, Brian M. Rahill, Wei Ding, Nathaniel D. Collins, Andrew J. Phipps and Garret C. Newbound. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Nucleic Acids Research.
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.