Ken Laing

59 papers receiving 3.0k citations

Ken Laing's Hit Papers

Mefloquine resistance in Plasmodium falciparum and increased pfmdr1 gene copy number 2004 · 648 citations
6480+7+14Years since publication200400600

Peers

Ken Laing
Comparison fields: 5 of 135
  • Infectious Diseases 854
  • Virology 172
  • Microbiology 180
  • Public Health, Environmental and Occupational Health 661
  • Molecular Medicine 115
Replace Salvatore G. De-Simone with:
Salvatore G. De-Simone Brazil
John L. Ho United States
Pawan Sharma India
Rob Striker United States
Larry S. Schlesinger United States
Jimmy D. Ballard United States
Robert G. Ulrich United States
Daniel A. Powell United States
Karen Kristine Sørensen Norway
André Báfica Brazil
Ken Laing relative to Salvatore G. De-Simone Brazil Salvatore G. De-Simone's profile →
Citations per field
00.5×3.7×
Salvatore G. De-Simone · 1×
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 61 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 →
2004648
2 2002294
3 2001255
4 2000254
5 2004177
6 1993159
7 2017103
8 200299
9 200496
10 200876
11 199455
12 202050
13 198742
14 201740
15 200439
16 201338
17 201538
18 199637
19 201635
20 201233

About Ken Laing

Ken Laing is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Oncology and Immunology, having authored 61 papers that have together received 3.1k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (7 papers), Mycobacterium research and diagnosis (5 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 (5 papers) and Cytomegalovirus and herpesvirus research (4 papers). The work is most often cited by research in Infectious Diseases (854 citations), Virology (172 citations), Microbiology (180 citations), Public Health, Environmental and Occupational Health (661 citations) and Molecular Medicine (115 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, L Phaipun, Rose McGready, Elizabeth A. Ashley, Anne‐Catrin Uhlemann, Sornchai Looareesuwan and Sanjeev Krishna. Their work appears in journals such as PLoS ONE, Comparative and Functional Genomics, Microbiology, PLoS neglected tropical diseases and Nucleic Acids Research.

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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