John Casey
- Hepatology top 0.5%
- Hepatitis C virus research 31
- Hepatitis Viruses Studies and Epidemiology 13
- Epidemiology top 1%
- Hepatitis B Virus Studies 31
- Hematology top 2%
- Molecular Biology top 2%
- RNA regulation and disease 14
- RNA and protein synthesis mechanisms 9
- RNA modifications and cancer 8
- Virology top 5%
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- Viral gastroenteritis research and epidemiology 12
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- Viral Infections and Immunology Research 8
- Co-authors
- John L. GerinJoe B. HarfordDavid M. KoellerRichard D. KlausnerKenneth SauerMatthias W. HentzeBrenda BassTracey A. Rouault
- Cited by
- HepatologyEpidemiologyHematology
- Journals
- Journal of Virology (17 papers)Proceedings of the National Academy of Sciences (6 papers)Britannia (4 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
John Casey
94 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Hepatology 1.6k
- Epidemiology 1.9k
- Hematology 456
- Molecular Biology 2.5k
- Virology 129
Countries citing papers authored by John Casey
This map shows the geographic impact of John Casey'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 John Casey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Casey more than expected).
Fields of papers citing papers by John Casey
This network shows the impact of papers produced by John Casey. 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 John Casey. The network helps show where John Casey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Casey, 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 | 2021 | 40 | |
| 2 | 2021 | 4 | |
| 3 | 2020 | 16 | |
| 4 | 2015 | 31 | |
| 5 | 2009 | 16 | |
| 6 | 2006 | 112 | |
| 7 | 2006 | 9 | |
| 8 | 2006 | 22 | |
| 9 | 2005 | 46 | |
| 10 | 2005 | 54 | |
| 11 | 2003 | 145 | |
| 12 | Improved tumour targeting of di-Fab ' fragments modified with polyethylene glycol | 1999 | 3 |
| 13 | Les associacions i la integració d`immigrants estrangers | 1998 | 5 |
| 14 | 1998 | 74 | |
| 15 | 1998 | 54 | |
| 16 | 1997 | 16 | |
| 17 | 1996 | 146 | |
| 18 | 1990 | 7 | |
| 19 | 1988 | 12 | |
| 20 | 1988 | 33 |
About John Casey
John Casey is a scholar working on Hepatology, Theoretical Computer Science, Epidemiology, Virology and Infectious Diseases, having authored 96 papers that have together received 5.4k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (31 papers), Hepatitis C virus research (31 papers), RNA regulation and disease (14 papers), Hepatitis Viruses Studies and Epidemiology (13 papers), Viral gastroenteritis research and epidemiology (12 papers), RNA and protein synthesis mechanisms (9 papers), Viral Infections and Immunology Research (8 papers) and RNA modifications and cancer (8 papers). The work is most often cited by research in Hepatology (1.6k citations), Epidemiology (1.9k citations), Hematology (456 citations), Molecular Biology (2.5k citations) and Virology (129 citations). John Casey has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include John L. Gerin, Joe B. Harford, David M. Koeller, Richard D. Klausner, Kenneth Sauer, Matthias W. Hentze, Brenda Bass, Tracey A. Rouault, S. Wright Caughman and Thomas L. Brown. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Britannia, Current topics in microbiology and immunology and Hepatology.
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.