Kevin E. Ashelford

3.4k total citations · 2 hit papers
35 papers, 2.6k citations indexed

About

Kevin E. Ashelford is a scholar working on Molecular Biology, Ecology and Pollution. According to data from OpenAlex, Kevin E. Ashelford has authored 35 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 12 papers in Ecology and 5 papers in Pollution. Recurrent topics in Kevin E. Ashelford's work include Bacteriophages and microbial interactions (9 papers), Genomics and Phylogenetic Studies (7 papers) and CRISPR and Genetic Engineering (6 papers). Kevin E. Ashelford is often cited by papers focused on Bacteriophages and microbial interactions (9 papers), Genomics and Phylogenetic Studies (7 papers) and CRISPR and Genetic Engineering (6 papers). Kevin E. Ashelford collaborates with scholars based in United Kingdom, United States and Sweden. Kevin E. Ashelford's co-authors include John C. Fry, Andrew J. Weightman, Antonia J. Jones, Nadia Chuzhanova, Martin J. Day, Mark Bailey, Neil Hall, Craig Winstanley, Eric A. Hendrickson and Kate Liddiard and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Kevin E. Ashelford

35 papers receiving 2.5k citations

Hit Papers

At Least 1 in 20 16S rRNA Sequence Records Currently Held... 2005 2026 2012 2019 2005 2006 200 400 600

Peers

Kevin E. Ashelford
Comparison fields: 5 of 123
  • Ecology 1.2k
  • Molecular Biology 1.2k
  • Plant Science 364
  • Environmental Chemistry 260
  • Pollution 246
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Citations per field, relative to Kevin E. Ashelford
Kevin E. Ashelford · 1×
Citations per year, relative to Kevin E. Ashelford
Kevin E. Ashelford · 1×

Countries citing papers authored by Kevin E. Ashelford

Since Specialization
Citations

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

Fields of papers citing papers by Kevin E. Ashelford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin E. Ashelford. 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 Kevin E. Ashelford. The network helps show where Kevin E. Ashelford may publish in the future.

Co-authorship network of co-authors of Kevin E. Ashelford

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin E. Ashelford. A scholar is included among the top collaborators of Kevin E. Ashelford 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 Kevin E. Ashelford. Kevin E. Ashelford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 28
2 3
3 7
4 1
5 19
6 47
7 33
8 8
9 36
10 24
11 51
12 51
13 47
14 42
15 57
16
New Screening Software Shows that Most Recent Large 16S rRNA Gene Clone Libraries Contain Chimeras breakdown →
598
17
At Least 1 in 20 16S rRNA Sequence Records Currently Held in Public Repositories Is Estimated To Contain Substantial Anomalies breakdown →
645
18 194
19 1
20 8

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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