Ken Simpson

2.3k citations
19 papers · 1.6k · h-index 14

Impact in

Papers in

Ken Simpson

19 papers receiving 1.5k citations

Peers

Ken Simpson
Comparison fields: 5 of 103
  • Public Health, Environmental and Occupational Health 799
  • Immunology 456
  • Parasitology 112
  • Virology 74
  • Molecular Biology 625
Replace Mirja Hommel with:
Mirja Hommel Australia
Joanna A. M. Braks Netherlands
Darrin F. Taylor Australia
Natacha Klages Switzerland
Neline Kriek United Kingdom
Tadge Szestak United Kingdom
Myriam Ermonval France
Izumi Kaneko Japan
Carolina Arias United States
Samuel Connell United States
Ken Simpson relative to Mirja Hommel Australia Mirja Hommel's profile →
Citations per field
00.5×1.5×2.1×
Mirja Hommel · 1×
Citations per year

Countries citing papers authored by Ken Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Ken Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2006322
2 2005219
3 2006181
4
aroma.affymetrix: A generic framework in R for analyzing small to very large Affymetrix data sets in bounded memory
2008120
5 2005117
6 200897
7 200493
8 200787
9 200473
10 201452
11 200548
12 200546
13 201044
14 200525
15 198713
16 201210
17 20142
18
Long–term modulation of gene expression in the mouse eye following laser photocoagulation
20041
19 20051

About Ken Simpson

Ken Simpson is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Ophthalmology, Oncology and Computational Theory and Mathematics, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Malaria Research and Control (4 papers), Gene expression and cancer classification (4 papers), Down syndrome and intellectual disability research (3 papers), Mosquito-borne diseases and control (3 papers), Computational Drug Discovery Methods (2 papers), Molecular Biology Techniques and Applications (2 papers), Bioinformatics and Genomic Networks (2 papers) and Retinal Diseases and Treatments (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (799 citations), Immunology (456 citations), Parasitology (112 citations), Virology (74 citations) and Molecular Biology (625 citations). Ken Simpson has collaborated with scholars based in Australia, United States and Malaysia. Frequent co-authors include Alan F. Cowman, Terence P. Speed, Gordon K. Smyth, Alexander G. Maier, Elisabet Caler, Matthias Marti, Tobias Sargeant, James Wettenhall, Robert T. Good and Louis Schofield. Their work appears in journals such as BMC Genomics, Stem Cells, International review of neurobiology, Bioinformatics and Journal of Medical Genetics.

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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