R Greaves

2.3k citations
15 papers · 2.0k · 1 hit paper · h-index 15

Impact in

Papers in

    • Herpesvirus Infections and Treatments 10
    • Cytomegalovirus and herpesvirus research 8
    • Virus-based gene therapy research 7

R Greaves

15 papers receiving 2.0k citations

R Greaves's Hit Papers

Activating mutations in p53 produce a common conformational effect. A monoclonal antibody specific for the mutant form. 1990 · 889 citations
8890+12+24Years since publication250500750

Peers

R Greaves
Comparison fields: 5 of 79
  • Oncology 891
  • Biotechnology 275
  • Parasitology 206
  • Virology 133
  • Epidemiology 942
Replace Richard Harrop with:
Richard Harrop United Kingdom
Alexander M. Ishov United States
Terry Hermiston United States
R J Watson United Kingdom
David Pim Italy
Leszek J. Klimczak United States
Hiroki Isomura Japan
Ayumi Kudoh Japan
Paula S. Norris United States
Oliver Schoor Germany
R Greaves relative to Richard Harrop United Kingdom Richard Harrop's profile →
Citations per field
00.5×3.5×
Richard Harrop · 1×
Citations per year

Countries citing papers authored by R Greaves

Since Specialization
Citations

This map shows the geographic impact of R Greaves'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 R Greaves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R Greaves more than expected).

Fields of papers citing papers by R Greaves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R Greaves. 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 R Greaves. The network helps show where R Greaves may publish in the future.

Co-authors

The 25 scholars most cited alongside R Greaves, 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 R Greaves Line = papers co-authored together R Greaves links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Activating mutations in p53 produce a common conformational effect. A monoclonal antibody specific for the mutant form.
Hit paper breakdown →
1990889
2 1998198
3 1996183
4 1989116
5 198990
6 200289
7 200679
8 200472
9 199063
10 199360
11 199559
12 199042
13
Epitope analysis of the murine p53 tumour suppressor protein.
199630
14 199126
15 201015

About R Greaves

R Greaves is a scholar working on Epidemiology, Genetics, Molecular Biology, Virology and Oncology, having authored 15 papers that have together received 2.0k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (10 papers), Cytomegalovirus and herpesvirus research (8 papers), Virus-based gene therapy research (7 papers), Poxvirus research and outbreaks (3 papers), RNA regulation and disease (3 papers), Cancer-related Molecular Pathways (2 papers), HIV Research and Treatment (1 paper) and Insect and Pesticide Research (1 paper). The work is most often cited by research in Oncology (891 citations), Biotechnology (275 citations), Parasitology (206 citations), Virology (133 citations) and Epidemiology (942 citations). R Greaves has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include David P. Lane, Julian Gannon, Richard Iggo, Edward S. Mocarski, Peter O’Hare, John Lyle, George Kemble, Jonathan M. Gawn, Colin R. Goding and Diane J. Cousens. Their work appears in journals such as Journal of Virology, The EMBO Journal, Journal of General Virology, Nature and Molecular and Cellular Biology.

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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