S. Yu
Impact in
- Animal Science and Zoology top 0.5%
- Animal Virus Infections Studies
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Animal Virus Infections Studies 7
-
- Viral gastroenteritis research and epidemiology 6
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- E. Thacker (7 shared papers)Tanja Opriessnig (6 shared papers)Patrick G. Halbur (6 shared papers)Xiang‐Jin Meng (4 shared papers)Martijn Fenaux (4 shared papers)Richard B. Evans (2 shared papers)Jack M. Gallup (2 shared papers)F. J. Pallarés (2 shared papers)
- Journals
- Veterinary Pathology (2 papers)Veterinary Microbiology (2 papers)Veterinary Immunology and Immunopathology (2 papers)Annals of the Rheumatic Diseases (1 paper)Veterinary Record (1 paper)
- Partner nations
- United StatesJapanSpain
In The Last Decade
S. Yu
10 papers receiving 669 citations
Peers
Comparison fields: 5 of 36
- Animal Science and Zoology 636
- Infectious Diseases 462
- Microbiology 91
- Genetics 368
- Cardiology and Cardiovascular Medicine 170
Countries citing papers authored by S. Yu
This map shows the geographic impact of S. Yu'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 S. Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Yu more than expected).
Fields of papers citing papers by S. Yu
This network shows the impact of papers produced by S. Yu. 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 S. Yu. The network helps show where S. Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Yu, 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 | 2004 | 284 | |
| 2 | 2003 | 173 | |
| 3 | 2004 | 77 | |
| 4 | 2006 | 63 | |
| 5 | 2006 | 37 | |
| 6 | 2007 | 32 | |
| 7 | 2008 | 11 | |
| 8 | 2008 | 10 | |
| 9 | Reduction in donor-specific cytotoxic T lymphocytes and prolonged cardiac allograft survival following intrathymic donor splenocyte injection. | 1993 | 4 |
| 10 | 2023 | 1 |
About S. Yu
S. Yu is a scholar working on Animal Science and Zoology, Infectious Diseases, Genetics, Surgery and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 692 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Virus-based gene therapy research (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Organ Transplantation Techniques and Outcomes (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper), Transplantation: Methods and Outcomes (1 paper) and Renal Transplantation Outcomes and Treatments (1 paper). The work is most often cited by research in Animal Science and Zoology (636 citations), Infectious Diseases (462 citations), Microbiology (91 citations), Genetics (368 citations) and Cardiology and Cardiovascular Medicine (170 citations). S. Yu has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include E. Thacker, Tanja Opriessnig, Patrick G. Halbur, Xiang‐Jin Meng, Martijn Fenaux, Richard B. Evans, Jack M. Gallup, F. J. Pallarés, Pravina Kitikoon and Paul Thomas. Their work appears in journals such as Veterinary Pathology, Veterinary Microbiology, Veterinary Immunology and Immunopathology, Annals of the Rheumatic Diseases and Veterinary Record.
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.