J. R. Arrand

2.2k citations
39 papers · 1.8k · h-index 24

Impact in

  • Oncology top 2%
    • Viral-associated cancers and disorders
    • Polyomavirus and related diseases
  • Virology top 5%

Papers in

    • Viral-associated cancers and disorders 19
    • Polyomavirus and related diseases 5
    • Herpesvirus Infections and Treatments 12
    • Cytomegalovirus and herpesvirus research 7
    • Cervical Cancer and HPV Research 5

J. R. Arrand

39 papers receiving 1.6k citations

Peers

J. R. Arrand
Comparison fields: 5 of 66
  • Oncology 951
  • Virology 129
  • Epidemiology 827
  • Infectious Diseases 314
  • Pathology and Forensic Medicine 278
Replace Hiroki Isomura with:
Hiroki Isomura Japan
Mary Hummel United States
Ayumi Kudoh Japan
Jerome E. Tanner Canada
Nikolaus Mueller‐Lantzsch Germany
D M Ciufo United States
U.K. Freese Germany
Lisa M. Petti United States
José Menézes Canada
Neil Blake United Kingdom
J. R. Arrand relative to Hiroki Isomura Japan Hiroki Isomura's profile →
Citations per field
00.5×1.5×1.8×
Hiroki Isomura · 1×
Citations per year

Countries citing papers authored by J. R. Arrand

Since Specialization
Citations

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

Fields of papers citing papers by J. R. Arrand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982159
2 1979127
3 1995122
4 1990102
5 197499
6 198697
7 199195
8 199084
9 200883
10 198978
11 198673
12 199656
13 199554
14 198851
15 199244
16 199740
17 199135
18 198735
19 199634
20 199431

About J. R. Arrand

J. R. Arrand is a scholar working on Oncology, Epidemiology, Genetics, Infectious Diseases and Immunology, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (19 papers), Herpesvirus Infections and Treatments (12 papers), Virus-based gene therapy research (12 papers), Parvovirus B19 Infection Studies (7 papers), Cytomegalovirus and herpesvirus research (7 papers), Lymphoma Diagnosis and Treatment (7 papers), Polyomavirus and related diseases (5 papers) and Cervical Cancer and HPV Research (5 papers). The work is most often cited by research in Oncology (951 citations), Virology (129 citations), Epidemiology (827 citations), Infectious Diseases (314 citations) and Pathology and Forensic Medicine (278 citations). J. R. Arrand has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Lars Rymo, M. Mackett, Beverly E. Griffin, E Soeda, James P. Stewart, Nina Smolar, Lawrence S. Young, Jonathan Tugwood, E. Littler and David S. Sharp. Their work appears in journals such as Journal of General Virology, Journal of Virology, Thorax, Nucleic Acids Research and The EMBO Journal.

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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