John A.L. Armour

8.4k citations
104 papers · 5.8k indexed · h-index 40

Impact in

  • Genetics top 0.5%
    • Genomic variations and chromosomal abnormalities
    • Genetic Syndromes and Imprinting
    • Genetic diversity and population structure
    • Genomics and Rare Diseases
  • Microbiology top 0.5%
    • Antimicrobial Peptides and Activities

Papers in

    • Genomic variations and chromosomal abnormalities 40
    • Forensic and Genetic Research 11
    • Genomics and Rare Diseases 10

John A.L. Armour

103 papers receiving 5.6k citations

Peers

John A.L. Armour
Comparison fields: 5 of 143
  • Genetics 2.8k
  • Microbiology 486
  • Molecular Biology 2.9k
  • Immunology 738
  • Pediatrics, Perinatology and Child Health 539
Replace Alain Vignal with:
Alain Vignal France
Kerstin Lindblad‐Toh United States
Elaine A. Ostrander United States
Tosso Leeb Switzerland
B.M. Cattanach United Kingdom
Yoichi Matsuda Japan
Hannes Lohi Finland
H. D. M. Moore United Kingdom
Hiromichi Yonekawa Japan
Leslie A. Lyons United States
John A.L. Armour relative to Alain Vignal France Alain Vignal's profile →
Citations per field
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Alain Vignal · 1×
Citations per year

Countries citing papers authored by John A.L. Armour

Since Specialization
Citations

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

Fields of papers citing papers by John A.L. Armour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202213
2 20123
3 201132
4 200876
5 200626
6 200621
7 2005158
8 20057
9 200420
10 20044
11 19997
12 19993
13 199617
14 199613
15 199522
16 19954
17 199242
18 199219
19 199137
20
Angelman syndrome can result from uniparental paternal isodisomy
19906

About John A.L. Armour

John A.L. Armour is a scholar working on Genetics, Microbiology, Molecular Biology, Sensory Systems and Cancer Research, having authored 104 papers that have together received 5.8k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (40 papers), Molecular Biology Techniques and Applications (17 papers), Chromosomal and Genetic Variations (15 papers), Forensic and Genetic Research (11 papers), DNA Repair Mechanisms (11 papers), Genomics and Chromatin Dynamics (11 papers), Genomics and Rare Diseases (10 papers) and Advanced biosensing and bioanalysis techniques (9 papers). The work is most often cited by research in Genetics (2.8k citations), Microbiology (486 citations), Molecular Biology (2.9k citations), Immunology (738 citations) and Pediatrics, Perinatology and Child Health (539 citations). John A.L. Armour has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Alec J. Jeffreys, Edward J. Hollox, John Barber, Rita Neumann, Joost Schalkwijk, Stéphanie Gobert, David L. Neil, Annette MacLeod, Darren G. Monckton and Keiji Tamaki. Their work appears in journals such as Human Molecular Genetics, Nucleic Acids Research, BMC Genomics, Genomics and Annals of Human Genetics.

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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