M.J. Day
- Small Animals top 0.2%
- Infectious Diseases and Mycology 13
- Equine top 1%
- Microbiology top 1%
- Microbial infections and disease research 8
- Parasitology top 2%
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- Veterinary Oncology Research 26
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 5
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- T-cell and B-cell Immunology 6
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- Diabetes and associated disorders 5
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- Blood groups and transfusion 5
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- Pediatric Hepatobiliary Diseases and Treatments 4
- Co-authors
- Edward J. HallChris R. HelpsΜ. D. WillardAlexander J. GermanT. MinamiThomas BilzerR. J. WashabauJoanne Mansell
- Cited by
- Small AnimalsEquineMicrobiology
- Journals
- Journal of Comparative Pathology (24 papers)Journal of Small Animal Practice (17 papers)Journal of Veterinary Internal Medicine (9 papers)
- Partner nations
- United KingdomBelgiumUnited States
In The Last Decade
M.J. Day
92 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Small Animals 781
- Equine 133
- Microbiology 375
- Parasitology 344
- Pulmonary and Respiratory Medicine 1.5k
Countries citing papers authored by M.J. Day
This map shows the geographic impact of M.J. Day'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 M.J. Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.J. Day more than expected).
Fields of papers citing papers by M.J. Day
This network shows the impact of papers produced by M.J. Day. 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 M.J. Day. The network helps show where M.J. Day may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M.J. Day, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2016 | 45 | |
| 4 | 2013 | 32 | |
| 5 | 2013 | 11 | |
| 6 | 2010 | 24 | |
| 7 | 2009 | 19 | |
| 8 | 2007 | 75 | |
| 9 | 2007 | 8 | |
| 10 | 2007 | 113 | |
| 11 | 2006 | 8 | |
| 12 | 2004 | 118 | |
| 13 | 2004 | 70 | |
| 14 | 2003 | 68 | |
| 15 | 1997 | 107 | |
| 16 | 1997 | 18 | |
| 17 | 1996 | 30 | |
| 18 | 1996 | 11 | |
| 19 | 1994 | 6 | |
| 20 | 1993 | 44 |
About M.J. Day
M.J. Day is a scholar working on Small Animals, Microbiology, Equine, Pulmonary and Respiratory Medicine and Immunology and Allergy, having authored 92 papers that have together received 3.4k indexed citations. Recurring topics across this work include Veterinary Oncology Research (26 papers), Infectious Diseases and Mycology (13 papers), Microbial infections and disease research (8 papers), T-cell and B-cell Immunology (6 papers), Diabetes and associated disorders (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Blood groups and transfusion (5 papers) and Pediatric Hepatobiliary Diseases and Treatments (4 papers). The work is most often cited by research in Small Animals (781 citations), Equine (133 citations), Microbiology (375 citations), Parasitology (344 citations) and Pulmonary and Respiratory Medicine (1.5k citations). M.J. Day has collaborated with scholars based in United Kingdom, Belgium and United States. Frequent co-authors include Edward J. Hall, Chris R. Helps, Μ. D. Willard, Alexander J. German, T. Minami, Thomas Bilzer, R. J. Washabau, Joanne Mansell, N. T. Whitley and Cécile Clercx. Their work appears in journals such as Journal of Comparative Pathology, Journal of Small Animal Practice, Journal of Veterinary Internal Medicine, Veterinary Immunology and Immunopathology and Journal of Feline Medicine and Surgery.
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.