Matthew N. Van Ert
- Endocrinology top 5%
- Genetics top 5%
- Bacterial Genetics and Biotechnology 5
- Yersinia bacterium, plague, ectoparasites research 5
- Ecology top 5%
- Bacteriophages and microbial interactions 6
- Small Animals top 5%
- Molecular Biology top 10%
- Bacillus and Francisella bacterial research 12
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- Microbial Inactivation Methods 2
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- Salmonella and Campylobacter epidemiology 1
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- Animal Disease Management and Epidemiology 1
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- Viral Infections and Vectors 1
- Co-authors
- Paul KeimLynn HuynhTalima PearsonDavid M. WagnerAmy J. VoglerW. Ryan EasterdayTatum S. SimonsonClaire M. Fraser
- Cited by
- EndocrinologyGeneticsEcology
- Journals
- Journal of Clinical Microbiology (5 papers)BioTechniques (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesNorwayUnited Kingdom
In The Last Decade
Matthew N. Van Ert
16 papers receiving 1000 citations
Peers
Comparison fields: 5 of 63
- Endocrinology 83
- Genetics 444
- Ecology 354
- Small Animals 79
- Molecular Biology 719
Countries citing papers authored by Matthew N. Van Ert
This map shows the geographic impact of Matthew N. Van Ert'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 Matthew N. Van Ert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew N. Van Ert more than expected).
Fields of papers citing papers by Matthew N. Van Ert
This network shows the impact of papers produced by Matthew N. Van Ert. 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 Matthew N. Van Ert. The network helps show where Matthew N. Van Ert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew N. Van Ert, 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 | 2020 | 11 | |
| 2 | 2016 | 58 | |
| 3 | 2011 | 107 | |
| 4 | 2010 | 50 | |
| 5 | 2009 | 32 | |
| 6 | 2008 | 25 | |
| 7 | 2006 | 84 | |
| 8 | 2005 | 59 | |
| 9 | 2005 | 13 | |
| 10 | 2005 | 41 | |
| 11 | 2005 | 30 | |
| 12 | 2004 | 243 | |
| 13 | 2004 | 202 | |
| 14 | 2004 | 26 | |
| 15 | 2004 | 35 | |
| 16 | 2004 | 22 |
About Matthew N. Van Ert
Matthew N. Van Ert is a scholar working on Genetics, Ecology, Biotechnology, Molecular Biology and Parasitology, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (12 papers), Bacteriophages and microbial interactions (6 papers), Bacterial Genetics and Biotechnology (5 papers), Yersinia bacterium, plague, ectoparasites research (5 papers), Microbial Inactivation Methods (2 papers), Salmonella and Campylobacter epidemiology (1 paper), Animal Disease Management and Epidemiology (1 paper) and Viral Infections and Vectors (1 paper). The work is most often cited by research in Endocrinology (83 citations), Genetics (444 citations), Ecology (354 citations), Small Animals (79 citations) and Molecular Biology (719 citations). Matthew N. Van Ert has collaborated with scholars based in United States, Norway and United Kingdom. Frequent co-authors include Paul Keim, Lynn Huynh, Talima Pearson, David M. Wagner, Amy J. Vogler, W. Ryan Easterday, Tatum S. Simonson, Claire M. Fraser, Timothy D. Read and Jacques Ravel. Their work appears in journals such as Journal of Clinical Microbiology, BioTechniques, Proceedings of the National Academy of Sciences, Infection Genetics and Evolution and Scientific Reports.
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.