A. Akrigg

844 citations
15 papers · 755 · h-index 12

Impact in

  • Virology top 10%
    • HIV Research and Treatment
  • Epidemiology top 10%
    • Cytomegalovirus and herpesvirus research
    • Herpesvirus Infections and Treatments

Papers in

    • Advanced biosensing and bioanalysis techniques 2
    • DNA Repair Mechanisms 2
    • RNA Interference and Gene Delivery 2
    • Bacterial Genetics and Biotechnology 5
    • Virus-based gene therapy research 2

A. Akrigg

14 papers receiving 693 citations

Peers

A. Akrigg
Comparison fields: 5 of 73
  • Virology 70
  • Epidemiology 389
  • Parasitology 72
  • Genetics 199
  • Molecular Biology 363
Replace Noriko Shirata with:
Noriko Shirata Japan
Mira S. Chaurushiya United States
John Swindle United States
Quentin Tonelli United States
Andrea D. Lipińska Poland
Jens Brandenburg Germany
Mary Jane Nicholl United Kingdom
H Tsuchie Japan
Edward Gershburg United States
Byung Yoon Ahn South Korea
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Citations per field
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Noriko Shirata · 1×
Citations per year

Countries citing papers authored by A. Akrigg

Since Specialization
Citations

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

Fields of papers citing papers by A. Akrigg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside A. Akrigg, 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 A. Akrigg Line = papers co-authored together A. Akrigg links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1992199
2 1985156
3 198285
4 198473
5 196747
6 197937
7 199129
8 197029
9
DNA gyrase stimulates transcription.
198026
10 199923
11 197822
12 197815
13 196910
14 19693
15 19811

About A. Akrigg

A. Akrigg is a scholar working on Molecular Biology, Genetics, Epidemiology, Oncology and Virology, having authored 15 papers that have together received 755 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Cytomegalovirus and herpesvirus research (4 papers), Advanced biosensing and bioanalysis techniques (2 papers), HIV Research and Treatment (2 papers), Bacteriophages and microbial interactions (2 papers), DNA Repair Mechanisms (2 papers), Virus-based gene therapy research (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Virology (70 citations), Epidemiology (389 citations), Parasitology (72 citations), Genetics (199 citations) and Molecular Biology (363 citations). A. Akrigg has collaborated with scholars based in United Kingdom, United States and Nepal. Frequent co-authors include Gavin W. G. Wilkinson, J. D. Oram, P. J. Greenaway, Shirley Ayad, Peter R. Cook, G.R. Barker, R. G. Downing, Clive J. Duggleby, Shirley McCready and J. Mandelstam. Their work appears in journals such as Journal of General Virology, Biochemical Journal, Virus Research, AIDS and Journal of Theoretical 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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