Ken Laing

3.8k total citations · 1 hit paper
57 papers, 2.9k citations indexed

About

Ken Laing is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Ken Laing has authored 57 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Epidemiology and 12 papers in Infectious Diseases. Recurrent topics in Ken Laing's work include Mycobacterium research and diagnosis (7 papers), Viral-associated cancers and disorders (7 papers) and Reproductive tract infections research (5 papers). Ken Laing is often cited by papers focused on Mycobacterium research and diagnosis (7 papers), Viral-associated cancers and disorders (7 papers) and Reproductive tract infections research (5 papers). Ken Laing collaborates with scholars based in United Kingdom, Germany and United States. Ken Laing's co-authors include Philip D. Butcher, Jason Hinds, Richard A. Stabler, Joseph A. Mangan, Nicholas J. White, Anne‐Catrin Uhlemann, Ric N. Price, François Nosten, Rina Patel and L Phaipun and has published in prestigious journals such as The Lancet, Nucleic Acids Research and Genes & Development.

In The Last Decade

Ken Laing

56 papers receiving 2.8k citations

Hit Papers

Mefloquine resistance in Plasmodium falciparum and increa... 2004 2026 2011 2018 2004 200 400 600

Peers

Ken Laing
Comparison fields: 5 of 133
  • Infectious Diseases 891
  • Molecular Biology 831
  • Epidemiology 729
  • Public Health, Environmental and Occupational Health 667
  • Immunology 360
Replace D. Camus with:
D. Camus France
Enmoore Lin Australia
Ralf Altmeyer France
M Gentilini France
Yoshio Mori Japan
Pawan Sharma India
Roberta Spaccapelo Italy
P Ambroise-Thomas France
Hajime Hisaeda Japan
Howard Engers Switzerland
D. Camus France View profile →
Citations per field, relative to Ken Laing
Ken Laing · 1×
Citations per year, relative to Ken Laing
Ken Laing · 1×

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-authorship network of co-authors of Ken Laing

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Laing. A scholar is included among the top collaborators of Ken Laing 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 Ken Laing. Ken Laing 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 7
2 44
3 15
4 34
5 17
6 38
7 73
8 28
9 13
10 171
11 40
12 92
13
Mefloquine resistance in Plasmodium falciparum and increased pfmdr1 gene copy number breakdown →
616
14 0
15 99
16 22
17 3
18 232
19 51
20 155

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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