Matthew J. Callow

4.0k citations
21 papers · 1.9k indexed · 1 hit paper · h-index 12

Impact in

    • Gene expression and cancer classification
    • Bioinformatics and Genomic Networks
    • Molecular Biology Techniques and Applications
    • Genomics and Chromatin Dynamics
    • Sexual Differentiation and Disorders
  • Genetics top 5%
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

Matthew J. Callow

21 papers receiving 1.8k citations

Hit Papers

STATISTICAL METHODS FOR IDENTIFYING DIFFERENTIALLY EXPRESSED GENES IN REPLICATED cDNA MICROARRAY EXPERIMENTS 2002 · 1.0k citations
1.0k20022026201020182505007501000

Peers

Matthew J. Callow
Comparison fields: 5 of 127
  • Molecular Biology 1.4k
  • Genetics 383
  • Cancer Research 175
  • Statistics and Probability 82
  • Endocrinology, Diabetes and Metabolism 144
Replace Mitchell Martin with:
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Matthew J. Callow relative to Mitchell Martin United States Mitchell Martin's profile →
Citations per field
00.5×1.5×2.3×
Mitchell Martin · 1×
Citations per year

Countries citing papers authored by Matthew J. Callow

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Callow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Callow. 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 Matthew J. Callow. The network helps show where Matthew J. Callow may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20225
2 200711
3 20044
4 2003112
5
STATISTICAL METHODS FOR IDENTIFYING DIFFERENTIALLY EXPRESSED GENES IN REPLICATED cDNA MICROARRAY EXPERIMENTS
Hit paper breakdown →
20021023
6 20021
7 2000174
8 200036
9 200036
10 199638
11 199570
12 199583
13 199410
14 1994143
15
Charge effects on chylomicron clearance in rats.
19936
16 19936
17 199111
18 199043
19 198744
20 198638

About Matthew J. Callow

Matthew J. Callow is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry, Genetics, Molecular Biology and Hematology, having authored 21 papers that have together received 1.9k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (5 papers), CRISPR and Genetic Engineering (4 papers), Bioinformatics and Genomic Networks (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Gene expression and cancer classification (3 papers), Lipid metabolism and biosynthesis (2 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Genetics (383 citations), Cancer Research (175 citations), Statistics and Probability (82 citations) and Endocrinology, Diabetes and Metabolism (144 citations). Matthew J. Callow has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Sandrine Dudoit, Terence P. Speed, Jean Yang, Edward M. Rubin, Trevor G. Redgrave, John T. Manning, Peter Bundred, Richard M. Lawn, E M Rubin and R. Tangirala. Their work appears in journals such as Genome Research, Nucleic Acids Research, British Journal of Haematology, Surgery and Current Opinion in Lipidology.

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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