RM Hope
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
Papers in
-
- Glycosylation and Glycoproteins Research 5
- Genetics 12
- Virus-based gene therapy research 7
- Genetic and phenotypic traits in livestock 4
- Co-authors
- John McLauchlan (3 shared papers)H. S. Marsden (8 shared papers)John McLauchlan (2 shared papers)Denis J. Murphy (2 shared papers)Paul Targett‐Adams (2 shared papers)John W. Palfreyman (3 shared papers)Brandon J. Wainwright (2 shared papers)Johannes F. Coy (1 shared paper)
- Journals
- Journal of General Virology (9 papers)Immunology and Cell Biology (7 papers)Australian Journal of Zoology (7 papers)Journal of Biological Chemistry (3 papers)Journal of Virology (2 papers)
- Partner nations
- AustraliaUnited KingdomSlovakia
In The Last Decade
RM Hope
37 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 84
- Hepatology 396
- Biochemistry 271
- Virology 98
- Epidemiology 617
- Genetics 259
Countries citing papers authored by RM Hope
This map shows the geographic impact of RM Hope'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 RM Hope with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites RM Hope more than expected).
Fields of papers citing papers by RM Hope
This network shows the impact of papers produced by RM Hope. 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 RM Hope. The network helps show where RM Hope may publish in the future.
Co-authors
The 25 scholars most cited alongside RM Hope, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 183 | |
| 2 | 2003 | 175 | |
| 3 | 2006 | 174 | |
| 4 | 2002 | 140 | |
| 5 | 1987 | 113 | |
| 6 | 1984 | 89 | |
| 7 | 1989 | 56 | |
| 8 | 1989 | 53 | |
| 9 | 1982 | 34 | |
| 10 | 2000 | 24 | |
| 11 | 2002 | 20 | |
| 12 | 1989 | 19 | |
| 13 | 1994 | 19 | |
| 14 | 1982 | 19 | |
| 15 | 1985 | 18 | |
| 16 | 2006 | 18 | |
| 17 | 1993 | 17 | |
| 18 | 1983 | 17 | |
| 19 | 1970 | 16 | |
| 20 | 1983 | 14 |
About RM Hope
RM Hope is a scholar working on Molecular Biology, Genetics, Epidemiology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Virus-based gene therapy research (7 papers), Glycosylation and Glycoproteins Research (5 papers), Genetic and phenotypic traits in livestock (4 papers), Hepatitis C virus research (4 papers), Evolution and Paleontology Studies (4 papers) and Toxin Mechanisms and Immunotoxins (3 papers). The work is most often cited by research in Hepatology (396 citations), Biochemistry (271 citations), Virology (98 citations), Epidemiology (617 citations) and Genetics (259 citations). RM Hope has collaborated with scholars based in Australia, United Kingdom and Slovakia. Frequent co-authors include John McLauchlan, H. S. Marsden, John McLauchlan, Denis J. Murphy, Paul Targett‐Adams, John W. Palfreyman, Brandon J. Wainwright, Johannes F. Coy, Sarah Gledhill and Andreas Girod. Their work appears in journals such as Journal of General Virology, Immunology and Cell Biology, Australian Journal of Zoology, Journal of Biological Chemistry and Journal of Virology.
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.