Ken Laing

3.8k citations
57 papers · 2.9k · 1 hit paper · h-index 25

Impact in

Papers in

    • RNA regulation and disease 5
    • Mycobacterium research and diagnosis 7
    • Cytomegalovirus and herpesvirus research 4

Ken Laing

56 papers receiving 2.8k citations

Ken Laing's Hit Papers

Mefloquine resistance in Plasmodium falciparum and increased pfmdr1 gene copy number 2004 · 616 citations
6160+7+14Years since publication200400600

Peers

Ken Laing
Comparison fields: 5 of 133
  • Infectious Diseases 891
  • Virology 199
  • Microbiology 191
  • Molecular Medicine 122
  • Public Health, Environmental and Occupational Health 667
Replace Nigel Bourne with:
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Nathalie Thiéblemont France
Jimmy D. Ballard United States
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Ken Laing relative to Nigel Bourne United States Nigel Bourne's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ken Laing

Since Specialization
Citations

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

Fields of papers citing papers by Ken Laing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mefloquine resistance in Plasmodium falciparum and increased pfmdr1 gene copy number
Hit paper breakdown →
2004616
2 2002284
3 2000244
4 2001232
5 2004171
6 1993155
7 2017103
8 200299
9 200492
10 200873
11 199451
12 202044
13 200440
14 201538
15 201338
16 198736
17 201734
18 201634
19 199634
20 201233

About Ken Laing

Ken Laing is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Oncology and Immunology, having authored 57 papers that have together received 2.9k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (7 papers), Mycobacterium research and diagnosis (7 papers), RNA regulation and disease (5 papers), Tuberculosis Research and Epidemiology (5 papers), Aortic aneurysm repair treatments (5 papers), Reproductive tract infections research (5 papers), Bacteriophages and microbial interactions (4 papers) and Cytomegalovirus and herpesvirus research (4 papers). The work is most often cited by research in Infectious Diseases (891 citations), Virology (199 citations), Microbiology (191 citations), Molecular Medicine (122 citations) and Public Health, Environmental and Occupational Health (667 citations). Ken Laing has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Philip D. Butcher, Jason Hinds, Richard A. Stabler, Joseph A. Mangan, Sanjeev Krishna, Rina Patel, Nicholas J. White, Anne‐Catrin Uhlemann, Ric N. Price and Sornchai Looareesuwan. Their work appears in journals such as PLoS ONE, Microbiology, Tuberculosis, Nucleic Acids Research and Comparative and Functional Genomics.

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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