S. Quan
- Hepatology top 0.5%
- Hepatitis C virus research 21
- Epidemiology top 2%
- Hepatitis B Virus Studies 10
- Liver Disease Diagnosis and Treatment 7
- Infectious Diseases top 5%
- Virology top 10%
- Hematology top 10%
- Chronic Myeloid Leukemia Treatments 3
- Blood groups and transfusion 3
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- Monoclonal and Polyclonal Antibodies Research 5
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- Innovations in Concrete and Construction Materials 3
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- Renal Transplantation Outcomes and Treatments 2
- Co-authors
- M. Elaine EysterA. PolitoW. C. EhmannLaura S. DiamondstoneJau‐Min LienJames J. GoedertAngelos HatzakisJ. J. Goedert
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
S. Quan
27 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Hepatology 1.4k
- Epidemiology 1.2k
- Infectious Diseases 323
- Virology 75
- Hematology 149
Countries citing papers authored by S. Quan
This map shows the geographic impact of S. Quan'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. Quan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Quan more than expected).
Fields of papers citing papers by S. Quan
This network shows the impact of papers produced by S. Quan. 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. Quan. The network helps show where S. Quan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside S. Quan, 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 | 2025 | 3 | |
| 2 | 2025 | 15 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2001 | 3 | |
| 7 | 2000 | 13 | |
| 8 | 2000 | 17 | |
| 9 | 2000 | 19 | |
| 10 | 1996 | 8 | |
| 11 | 1994 | 44 | |
| 12 | 1993 | 1 | |
| 13 | 1993 | 17 | |
| 14 | 1993 | 28 | |
| 15 | 1992 | 27 | |
| 16 | 1992 | 49 | |
| 17 | 1991 | 240 | |
| 18 | Confirmation of hepatitis C virus infection by new four-antigen recombinant immunoblot assaybreakdown → | 1991 | 425 |
| 19 | 1991 | 30 | |
| 20 | 1991 | 44 |
About S. Quan
S. Quan is a scholar working on Hepatology, Transplantation, Hematology, Epidemiology and Software, having authored 31 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hepatitis C virus research (21 papers), Hepatitis B Virus Studies (10 papers), Liver Disease Diagnosis and Treatment (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Innovations in Concrete and Construction Materials (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Blood groups and transfusion (3 papers) and Renal Transplantation Outcomes and Treatments (2 papers). The work is most often cited by research in Hepatology (1.4k citations), Epidemiology (1.2k citations), Infectious Diseases (323 citations), Virology (75 citations) and Hematology (149 citations). S. Quan has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include M. Elaine Eyster, A. Polito, W. C. Ehmann, Laura S. Diamondstone, Jau‐Min Lien, James J. Goedert, Angelos Hatzakis, J. J. Goedert, LM Aledort and Harrison Alter. Their work appears in journals such as Transfusion, Journal of Clinical Microbiology, Vox Sanguinis, Blood and American Journal of Nephrology.
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.