Eija Trees
Impact in
- Endocrinology top 1%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Food Science top 1%
- Salmonella and Campylobacter epidemiology
Papers in
- Food Science 27
- Salmonella and Campylobacter epidemiology 27
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- Escherichia coli research studies 14
- Vibrio bacteria research studies 7
- Co-authors
- Peter Gerner‐Smidt (12 shared papers)John M. Besser (4 shared papers)Rebecca L. Lindsey (10 shared papers)Heather A. Carleton (3 shared papers)Heather A. Carleton (10 shared papers)Kristy Kubota (4 shared papers)Eva Møller Nielsen (2 shared papers)Céline Nadon (2 shared papers)
- Journals
- Foodborne Pathogens and Disease (5 papers)Journal of Clinical Microbiology (3 papers)Journal of Microbiological Methods (3 papers)Eurosurveillance (2 papers)Emerging infectious diseases (2 papers)
- Partner nations
- United StatesCanadaDenmark
In The Last Decade
Eija Trees
38 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 106
- Endocrinology 466
- Food Science 833
- Molecular Medicine 182
- Biotechnology 287
- Infectious Diseases 360
Countries citing papers authored by Eija Trees
This map shows the geographic impact of Eija Trees'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 Eija Trees with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eija Trees more than expected).
Fields of papers citing papers by Eija Trees
This network shows the impact of papers produced by Eija Trees. 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 Eija Trees. The network helps show where Eija Trees may publish in the future.
Co-authors
The 25 scholars most cited alongside Eija Trees, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 293 | |
| 2 | 2017 | 238 | |
| 3 | 2011 | 106 | |
| 4 | 2014 | 90 | |
| 5 | 2013 | 73 | |
| 6 | 2018 | 72 | |
| 7 | 2013 | 69 | |
| 8 | 2014 | 67 | |
| 9 | 2019 | 66 | |
| 10 | 2012 | 48 | |
| 11 | 2013 | 45 | |
| 12 | Outbreak of Salmonella Newport infections linked to cucumbers--United States, 2014. | 2015 | 42 |
| 13 | 2019 | 38 | |
| 14 | 2017 | 37 | |
| 15 | 2012 | 25 | |
| 16 | 2022 | 24 | |
| 17 | 2019 | 23 | |
| 18 | 2013 | 22 | |
| 19 | 2017 | 21 | |
| 20 | 2016 | 20 |
About Eija Trees
Eija Trees is a scholar working on Food Science, Endocrinology, Infectious Diseases, Molecular Biology and Ecology, having authored 40 papers that have together received 1.5k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (27 papers), Viral gastroenteritis research and epidemiology (16 papers), Escherichia coli research studies (14 papers), Bacteriophages and microbial interactions (11 papers), Listeria monocytogenes in Food Safety (11 papers), Genomics and Phylogenetic Studies (8 papers), Vibrio bacteria research studies (7 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Endocrinology (466 citations), Food Science (833 citations), Molecular Medicine (182 citations), Biotechnology (287 citations) and Infectious Diseases (360 citations). Eija Trees has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Peter Gerner‐Smidt, John M. Besser, Rebecca L. Lindsey, Heather A. Carleton, Heather A. Carleton, Kristy Kubota, Eva Møller Nielsen, Céline Nadon, Steven Stroika and Xiangyu Deng. Their work appears in journals such as Foodborne Pathogens and Disease, Journal of Clinical Microbiology, Journal of Microbiological Methods, Eurosurveillance and Emerging infectious diseases.
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.