Danielle M. Yugo
- Infectious Diseases top 5%
- Hepatology top 2%
- Animal Science and Zoology top 5%
- Genetics
- Small Animals top 5%
- Co-authors
- Xiang‐Jin MengC. Lynn HeffronRüdiger HauckH. L. ShivaprasadDianjun CaoCaitlin M. CossaboomChristopher OverendSakthivel Subramaniam
- Topics
- Viral gastroenteritis research and epidemiology (16 papers)Hepatitis Viruses Studies and Epidemiology (9 papers)Animal Virus Infections Studies (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of VirologyBiochemical and Biophysical Research Communications
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Danielle M. Yugo
19 papers receiving 683 citations
Peers
Comparison fields: 5 of 65
- Infectious Diseases 470
- Hepatology 350
- Animal Science and Zoology 200
- Genetics 137
- Small Animals 83
Countries citing papers authored by Danielle M. Yugo
This map shows the geographic impact of Danielle M. Yugo'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 Danielle M. Yugo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle M. Yugo more than expected).
Fields of papers citing papers by Danielle M. Yugo
This network shows the impact of papers produced by Danielle M. Yugo. 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 Danielle M. Yugo. The network helps show where Danielle M. Yugo may publish in the future.
Co-authorship network of co-authors of Danielle M. Yugo
This figure shows the co-authorship network connecting the top 25 collaborators of Danielle M. Yugo. A scholar is included among the top collaborators of Danielle M. Yugo 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 Danielle M. Yugo. Danielle M. Yugo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 26 | |
| 6 | 22 | |
| 7 | 27 | |
| 8 | 18 | |
| 9 | 24 | |
| 10 | 40 | |
| 11 | 67 | |
| 12 | 23 | |
| 13 | 88 | |
| 14 | 37 | |
| 15 | 18 | |
| 16 | 22 | |
| 17 | 37 | |
| 18 | 182 | |
| 19 | 42 |
About Danielle M. Yugo
Danielle M. Yugo is a scholar working on Hepatology, Infectious Diseases and Animal Science and Zoology, having authored 19 papers that have together received 691 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (16 papers), Hepatitis Viruses Studies and Epidemiology (9 papers) and Animal Virus Infections Studies (9 papers). The work is most often cited by research in Hepatology (350 citations), Infectious Diseases (470 citations) and Animal Science and Zoology (200 citations). Danielle M. Yugo has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Xiang‐Jin Meng, C. Lynn Heffron, Rüdiger Hauck, H. L. Shivaprasad, Dianjun Cao, Caitlin M. Cossaboom, Christopher Overend, Sakthivel Subramaniam, Tanja Opriessnig and Debin Tian. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Virology and Biochemical and Biophysical Research Communications.
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.