Kathe E. Bjork
Impact in
-
- Antibiotic Use and Resistance
- Equine top 5%
Papers in
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- Animal Disease Management and Epidemiology 4
- Livestock Farming and Management 2
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- Antibiotic Use and Resistance 3
- Co-authors
- Bert E. Stromberg (1 shared paper)Craig Packer (1 shared paper)Ryan S. Miller (2 shared papers)Christopher L. Burdett (2 shared papers)Lynn H. Creekmore (1 shared paper)Thomas R. Kasari (1 shared paper)Peter R. Davies (2 shared papers)Michael D. Apley (2 shared papers)
- Journals
- Avian Diseases (5 papers)Zoonoses and Public Health (2 papers)Journal of Wildlife Diseases (1 paper)PLoS ONE (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesNew Zealand
In The Last Decade
Kathe E. Bjork
17 papers receiving 367 citations
Peers
Comparison fields: 5 of 37
- Applied Microbiology and Biotechnology 35
- Equine 20
- Parasitology 44
- Agronomy and Crop Science 70
- Small Animals 54
Countries citing papers authored by Kathe E. Bjork
This map shows the geographic impact of Kathe E. Bjork'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 Kathe E. Bjork with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathe E. Bjork more than expected).
Fields of papers citing papers by Kathe E. Bjork
This network shows the impact of papers produced by Kathe E. Bjork. 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 Kathe E. Bjork. The network helps show where Kathe E. Bjork may publish in the future.
Co-authors
The 25 scholars most cited alongside Kathe E. Bjork, 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 | 2013 | 66 | |
| 2 | 2000 | 50 | |
| 3 | 1990 | 47 | |
| 4 | 2015 | 39 | |
| 5 | 2020 | 33 | |
| 6 | 2016 | 32 | |
| 7 | 2012 | 21 | |
| 8 | 2015 | 18 | |
| 9 | 2020 | 17 | |
| 10 | 2011 | 15 | |
| 11 | 2012 | 11 | |
| 12 | 2019 | 10 | |
| 13 | 2012 | 8 | |
| 14 | 2018 | 7 | |
| 15 | 2007 | 4 | |
| 16 | 2011 | 1 | |
| 17 | 2015 | 1 |
About Kathe E. Bjork
Kathe E. Bjork is a scholar working on Agronomy and Crop Science, Applied Microbiology and Biotechnology, Epidemiology, Food Science and Management Science and Operations Research, having authored 17 papers that have together received 380 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (4 papers), Animal Disease Management and Epidemiology (4 papers), Salmonella and Campylobacter epidemiology (3 papers), Antibiotic Use and Resistance (3 papers), Livestock Farming and Management (2 papers), Data-Driven Disease Surveillance (2 papers), Land Use and Ecosystem Services (2 papers) and demographic modeling and climate adaptation (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (35 citations), Equine (20 citations), Parasitology (44 citations), Agronomy and Crop Science (70 citations) and Small Animals (54 citations). Kathe E. Bjork has collaborated with scholars based in United States and New Zealand. Frequent co-authors include Bert E. Stromberg, Craig Packer, Ryan S. Miller, Christopher L. Burdett, Lynn H. Creekmore, Thomas R. Kasari, Peter R. Davies, Michael D. Apley, Eric J. Bush and Angela M. Pelzel‐McCluskey. Their work appears in journals such as Avian Diseases, Zoonoses and Public Health, Journal of Wildlife Diseases, PLoS ONE and Bioinformatics.
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.