Tracey Baas
Impact in
- Animal Science and Zoology top 2%
- Meat and Animal Product Quality
- Animal Nutrition and Physiology
- Animal Virus Infections Studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 4
-
- Animal Virus Infections Studies 3
- Co-authors
- Michael G. Katze (9 shared papers)Max F. Rothschild (1 shared paper)Jack C. M. Dekkers (1 shared paper)M. Malek (1 shared paper)Elisabeth J. Huff-Lonergan (1 shared paper)Ken J. Prusa (1 shared paper)Thomas H. Teal (5 shared papers)Sean C Proll (4 shared papers)
- Journals
- Journal of Virology (6 papers)Journal of Animal Science (2 papers)PLoS Pathogens (1 paper)PLoS Biology (1 paper)Biopolymers (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Tracey Baas
33 papers receiving 968 citations
Peers
Comparison fields: 5 of 104
- Animal Science and Zoology 364
- Infectious Diseases 269
- Small Animals 71
- Immunology 152
- Epidemiology 204
Countries citing papers authored by Tracey Baas
This map shows the geographic impact of Tracey Baas'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 Tracey Baas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tracey Baas more than expected).
Fields of papers citing papers by Tracey Baas
This network shows the impact of papers produced by Tracey Baas. 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 Tracey Baas. The network helps show where Tracey Baas may publish in the future.
Co-authors
The 25 scholars most cited alongside Tracey Baas, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 333 | |
| 2 | 2009 | 146 | |
| 3 | 2006 | 107 | |
| 4 | 2005 | 72 | |
| 5 | 2007 | 58 | |
| 6 | 2006 | 54 | |
| 7 | 2008 | 46 | |
| 8 | 2006 | 45 | |
| 9 | 2002 | 35 | |
| 10 | 1998 | 18 | |
| 11 | 2021 | 18 | |
| 12 | 2019 | 17 | |
| 13 | 2008 | 14 | |
| 14 | 1992 | 8 | |
| 15 | 2014 | 4 | |
| 16 | 2012 | 4 | |
| 17 | 2009 | 4 | |
| 18 | 2013 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2012 | 2 |
About Tracey Baas
Tracey Baas is a scholar working on Infectious Diseases, Animal Science and Zoology, Immunology, Molecular Biology and Cancer Research, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (4 papers), interferon and immune responses (4 papers), Respiratory Support and Mechanisms (3 papers), Influenza Virus Research Studies (3 papers), Animal Virus Infections Studies (3 papers), Career Development and Diversity (3 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Animal Science and Zoology (364 citations), Infectious Diseases (269 citations), Small Animals (71 citations), Immunology (152 citations) and Epidemiology (204 citations). Tracey Baas has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Michael G. Katze, Max F. Rothschild, Jack C. M. Dekkers, M. Malek, Elisabeth J. Huff-Lonergan, Ken J. Prusa, Thomas H. Teal, Sean C Proll, Bart L. Haagmans and Matthew D. Dyer. Their work appears in journals such as Journal of Virology, Journal of Animal Science, PLoS Pathogens, PLoS Biology and Biopolymers.
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.