Kirsten E. Shaw
- Virology top 2%
- Infectious Diseases top 10%
- Immunology
- Epidemiology
- Cardiology and Cardiovascular Medicine
- Co-authors
- Paul A. LuciwE Pratt-LoweCecilia Cheng‐MayerJay A. LevyAyalew MergiaPeter A. BarryJoão L. CavalcanteBo Han
- Topics
- Viral Infections and Immunology Research (6 papers)SARS-CoV-2 and COVID-19 Research (4 papers)Polyomavirus and related diseases (4 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Cell BiologyJournal of Virology
- Partner nations
- United StatesChileCanada
In The Last Decade
Kirsten E. Shaw
17 papers receiving 525 citations
Peers
Comparison fields: 5 of 41
- Virology 307
- Infectious Diseases 217
- Immunology 145
- Epidemiology 130
- Cardiology and Cardiovascular Medicine 91
Countries citing papers authored by Kirsten E. Shaw
This map shows the geographic impact of Kirsten E. Shaw'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 Kirsten E. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kirsten E. Shaw more than expected).
Fields of papers citing papers by Kirsten E. Shaw
This network shows the impact of papers produced by Kirsten E. Shaw. 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 Kirsten E. Shaw. The network helps show where Kirsten E. Shaw may publish in the future.
Co-authorship network of co-authors of Kirsten E. Shaw
This figure shows the co-authorship network connecting the top 25 collaborators of Kirsten E. Shaw. A scholar is included among the top collaborators of Kirsten E. Shaw based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kirsten E. Shaw. Kirsten E. Shaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 10 | |
| 4 | 11 | |
| 5 | 17 | |
| 6 | 46 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 180 | |
| 10 | 83 | |
| 11 | 35 | |
| 12 | 43 | |
| 13 | 35 | |
| 14 | 27 | |
| 15 | 20 | |
| 16 | The influence of age upon the circulating 17-hydroxycorticosteroids of cattle subjected to blood sampling and exogenous adrenocorticotrophic hormone and hydrocortisone. | 5 |
| 17 | Quantities of 17-hydroxycorticosteroids in the plasma of healthy cattle during various physiologic states. | 9 |
About Kirsten E. Shaw
Kirsten E. Shaw is a scholar working on Virology, Animal Science and Zoology and Infectious Diseases, having authored 17 papers that have together received 534 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Polyomavirus and related diseases (4 papers). The work is most often cited by research in Virology (307 citations), Infectious Diseases (217 citations) and Immunology (145 citations). Kirsten E. Shaw has collaborated with scholars based in United States, Chile and Canada. Frequent co-authors include Paul A. Luciw, E Pratt-Lowe, Cecilia Cheng‐Mayer, Jay A. Levy, Ayalew Mergia, Peter A. Barry, João L. Cavalcante, Bo Han, Mario Gössl and Vicente Planelles. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Journal of Virology.
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.