RM Hope

1.5k citations
37 papers · 1.4k · h-index 18

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 5
    • Virus-based gene therapy research 7
    • Genetic and phenotypic traits in livestock 4

RM Hope

37 papers receiving 1.3k citations

Peers

RM Hope
Comparison fields: 5 of 85
  • Hepatology 394
  • Biochemistry 267
  • Virology 98
  • Epidemiology 601
  • Genetics 272
Replace Eileen L. Beall with:
Eileen L. Beall United States
Jacques d’Alayer France
Tellervo Huima United States
S. Funahashi Japan
Formijn J. van Hemert Netherlands
Bumsuk Hahm United States
S D Showalter United States
Philomena Ostapchuk United States
Charlotta Funaya Germany
Scott W. Eastman United States
RM Hope relative to Eileen L. Beall United States Eileen L. Beall's profile →
Citations per field
00.5×10×14.1×
Eileen L. Beall · 1×
Citations per year

Countries citing papers authored by RM Hope

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with RM Hope Line = papers co-authored together RM Hope links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000186
2 2006182
3 2003177
4 2002144
5 1987115
6 198491
7 198964
8 198953
9 198236
10 200024
11 200221
12 198520
13 200620
14 198220
15 198919
16 199419
17 198319
18 197018
19 199317
20 198316

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 1.4k 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), Evolution and Paleontology Studies (4 papers), Hepatitis C virus research (4 papers) and Wildlife Ecology and Conservation (3 papers). The work is most often cited by research in Hepatology (394 citations), Biochemistry (267 citations), Virology (98 citations), Epidemiology (601 citations) and Genetics (272 citations). RM Hope has collaborated with scholars based in United Kingdom, Australia and Slovakia. Frequent co-authors include John McLauchlan, H. S. Marsden, Denis J. Murphy, Paul Targett‐Adams, John W. Palfreyman, Brandon J. Wainwright, Andreas Girod, Johannes F. Coy, Sarah Gledhill and François Penin. 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.

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