Michele Yon
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
Papers in
-
- SARS-CoV-2 detection and testing 4
- SARS-CoV-2 and COVID-19 Research 3
-
- Advanced biosensing and bioanalysis techniques 2
- Co-authors
- Suresh V. Kuchipudi (9 shared papers)Meera Surendran Nair (7 shared papers)Ruth H. Nissly (7 shared papers)Bhushan M. Jayarao (6 shared papers)Weihua Guan (2 shared papers)Katriina Willgert (2 shared papers)James M. Musser (2 shared papers)Peter J. Hudson (2 shared papers)
- Journals
- Frontiers in Veterinary Science (2 papers)Journal of Neuroimmunology (2 papers)Scientific Reports (1 paper)Viruses (1 paper)Biosensors and Bioelectronics (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Michele Yon
14 papers receiving 294 citations
Michele Yon's Hit Papers
Peers
Comparison fields: 5 of 67
- Infectious Diseases 162
- Animal Science and Zoology 69
- Modeling and Simulation 25
- Microbiology 19
- Agronomy and Crop Science 16
Countries citing papers authored by Michele Yon
This map shows the geographic impact of Michele Yon'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 Michele Yon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Yon more than expected).
Fields of papers citing papers by Michele Yon
This network shows the impact of papers produced by Michele Yon. 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 Michele Yon. The network helps show where Michele Yon may publish in the future.
Co-authors
The 25 scholars most cited alongside Michele Yon, 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 | Multiple spillovers from humans and onward transmission of SARS-CoV-2 in white-tailed deer Hit paper breakdown → | 2022 | 124 |
| 2 | 2021 | 32 | |
| 3 | 2022 | 32 | |
| 4 | 2007 | 21 | |
| 5 | 2007 | 17 | |
| 6 | 2021 | 15 | |
| 7 | 1996 | 14 | |
| 8 | 2022 | 13 | |
| 9 | 2012 | 10 | |
| 10 | 2023 | 6 | |
| 11 | 1995 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2020 | 3 | |
| 14 | 2023 | 1 |
About Michele Yon
Michele Yon is a scholar working on Infectious Diseases, Molecular Biology, Animal Science and Zoology, Genetics and Microbiology, having authored 14 papers that have together received 299 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (4 papers), Animal Virus Infections Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Microbial infections and disease research (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Virus-based gene therapy research (2 papers), Biosensors and Analytical Detection (2 papers) and Streptococcal Infections and Treatments (2 papers). The work is most often cited by research in Infectious Diseases (162 citations), Animal Science and Zoology (69 citations), Modeling and Simulation (25 citations), Microbiology (19 citations) and Agronomy and Crop Science (16 citations). Michele Yon has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Suresh V. Kuchipudi, Meera Surendran Nair, Ruth H. Nissly, Bhushan M. Jayarao, Weihua Guan, Katriina Willgert, James M. Musser, Peter J. Hudson, Kurt J. Vandegrift and Randall J. Olsen. Their work appears in journals such as Frontiers in Veterinary Science, Journal of Neuroimmunology, Scientific Reports, Viruses and Biosensors and Bioelectronics.
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.