Matthew J. Callow
Impact in
- Molecular Biology top 5%
- 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
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Diabetes Management and Research 2
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- Lipid metabolism and biosynthesis 2
- Co-authors
- Sandrine DudoitTerence P. SpeedJean YangEdward M. RubinTrevor G. RedgraveJohn T. ManningPeter BundredRichard M. Lawn
- Journals
- Genome Research (3 papers)Nucleic Acids Research (3 papers)British Journal of Haematology (1 paper)Surgery (1 paper)Current Opinion in Lipidology (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Matthew J. Callow
21 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 1.4k
- Genetics 383
- Cancer Research 175
- Statistics and Probability 82
- Endocrinology, Diabetes and Metabolism 144
Countries citing papers authored by Matthew J. Callow
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 5 | |
| 2 | 2007 | 11 | |
| 3 | 2004 | 4 | |
| 4 | 2003 | 112 | |
| 5 | STATISTICAL METHODS FOR IDENTIFYING DIFFERENTIALLY EXPRESSED GENES IN REPLICATED cDNA MICROARRAY EXPERIMENTS Hit paper breakdown → | 2002 | 1023 |
| 6 | 2002 | 1 | |
| 7 | 2000 | 174 | |
| 8 | 2000 | 36 | |
| 9 | 2000 | 36 | |
| 10 | 1996 | 38 | |
| 11 | 1995 | 70 | |
| 12 | 1995 | 83 | |
| 13 | 1994 | 10 | |
| 14 | 1994 | 143 | |
| 15 | Charge effects on chylomicron clearance in rats. | 1993 | 6 |
| 16 | 1993 | 6 | |
| 17 | 1991 | 11 | |
| 18 | 1990 | 43 | |
| 19 | 1987 | 44 | |
| 20 | 1986 | 38 |
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.