Neil MacAlasdair

1.4k citations
5 papers · 617 indexed · 1 hit paper · h-index 4
Topics
Genomics and Phylogenetic Studies (4 papers)Bacterial Infections and Vaccines (2 papers)Genetic diversity and population structure (1 paper)

In The Last Decade

Neil MacAlasdair

4 papers receiving 613 citations

Hit Papers

Producing polished prokaryotic pangenomes with the Panaro...20202026202220242020100200300400500

Peers

Neil MacAlasdair
Comparison fields: 5 of 72
  • Molecular Biology 295
  • Molecular Medicine 142
  • Infectious Diseases 118
  • Epidemiology 111
  • Endocrinology 111
Replace Gal Horesh with:
Gal Horesh United Kingdom
Harry A. Thorpe United Kingdom
Mikhail Raiko Russia
Emily J. Richardson United Kingdom
Miguel P. Machado Portugal
Alexandre Souvorov United States
Erika Scaltriti Italy
Flávia Figueira Aburjaile Brazil
Ben Vezina Australia
Sarah G. Earle United Kingdom
Neil MacAlasdair relative to Gal Horesh United Kingdom Gal Horesh's profile →
Citations per field
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Gal Horesh · 1×
Citations per year

Countries citing papers authored by Neil MacAlasdair

Since Specialization
Citations

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

Fields of papers citing papers by Neil MacAlasdair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil MacAlasdair

This figure shows the co-authorship network connecting the top 25 collaborators of Neil MacAlasdair. A scholar is included among the top collaborators of Neil MacAlasdair based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Neil MacAlasdair. Neil MacAlasdair is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1 0
2 6
3 5
4
Producing polished prokaryotic pangenomes with the Panaroo pipelinebreakdown →
576
5 30

About Neil MacAlasdair

Neil MacAlasdair is a scholar working on Microbiology, Endocrinology and Genetics, having authored 5 papers that have together received 617 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Bacterial Infections and Vaccines (2 papers) and Genetic diversity and population structure (1 paper). The work is most often cited by research in Molecular Medicine (142 citations), Endocrinology (111 citations) and Clinical Biochemistry (73 citations). Neil MacAlasdair has collaborated with scholars based in United Kingdom, Norway and Finland. Frequent co-authors include Jukka Corander, Stephen D. Bentley, Julian Parkhill, John A. Lees, Gerry Tonkin‐Hill, Aaron Weimann, Christopher A. Beaudoin, Christopher Ruis, Simon D. W. Frost and R. Andrés Floto. Their work appears in journals such as Nucleic Acids Research, Genome Research and Genome 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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