Michael Cheeseman
- Otorhinolaryngology top 1%
- Ear Surgery and Otitis Media 11
- Genetics top 5%
- Insect and Arachnid Ecology and Behavior 7
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 5
- Congenital Ear and Nasal Anomalies 5
- Connective tissue disorders research 4
- Sensory Systems top 5%
- Nephrology top 5%
- Molecular Biology top 10%
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- Neurobiology and Insect Physiology Research 8
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- Immune Response and Inflammation 6
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- Pediatric health and respiratory diseases 5
Michael Cheeseman
74 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 125
- Otorhinolaryngology 308
- Genetics 528
- Sensory Systems 88
- Nephrology 109
- Molecular Biology 954
Countries citing papers authored by Michael Cheeseman
This map shows the geographic impact of Michael Cheeseman'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 Michael Cheeseman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Cheeseman more than expected).
Fields of papers citing papers by Michael Cheeseman
This network shows the impact of papers produced by Michael Cheeseman. 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 Michael Cheeseman. The network helps show where Michael Cheeseman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Cheeseman, 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 | 2020 | 10 | |
| 2 | 2020 | 5 | |
| 3 | 2020 | 11 | |
| 4 | 2018 | 8 | |
| 5 | 2017 | 32 | |
| 6 | 2016 | 14 | |
| 7 | 2014 | 8 | |
| 8 | 2013 | 43 | |
| 9 | 2011 | 54 | |
| 10 | 2011 | 14 | |
| 11 | 2010 | 52 | |
| 12 | 2010 | 4 | |
| 13 | A mouse with a Trp589Arg mutation in N-acetylgalactosaminyltransferase 3 (Galnt3) provides a model for familial tumoural calcinosis | 2009 | 1 |
| 14 | 2009 | 76 | |
| 15 | Mice deleted for a Multiple Endocrine Neoplasia Type 1 (MEN1) allele develop pancreatic, pituitary and parathyroid tumours in association with hypercalcaemia | 2007 | 2 |
| 16 | 2006 | 3 | |
| 17 | 2001 | 17 | |
| 18 | 2000 | 16 | |
| 19 | 1997 | 4 | |
| 20 | 1988 | 15 |
About Michael Cheeseman
Michael Cheeseman is a scholar working on Otorhinolaryngology, Equine, Microbiology, Genetics and Emergency Medical Services, having authored 76 papers that have together received 2.1k indexed citations. Recurring topics across this work include Ear Surgery and Otitis Media (11 papers), Neurobiology and Insect Physiology Research (8 papers), Insect and Arachnid Ecology and Behavior (7 papers), Immune Response and Inflammation (6 papers), Pediatric health and respiratory diseases (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Congenital Ear and Nasal Anomalies (5 papers) and Connective tissue disorders research (4 papers). The work is most often cited by research in Otorhinolaryngology (308 citations), Genetics (528 citations), Sensory Systems (88 citations), Nephrology (109 citations) and Molecular Biology (954 citations). Michael Cheeseman has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Tertius Hough, Steve D. M. Brown, Cedric Gillott, Sara Wells, Roger Cox, Mahmood F. Bhutta, Debora Bogani, Brian C. Sweatman, Hilda Tateossian and Julian L. Griffin. Their work appears in journals such as Disease Models & Mechanisms, PLoS ONE, Human Molecular Genetics, PLoS Genetics and Journal of Insect Physiology.
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.