M.T. Rowe
Impact in
- Small Animals top 0.5%
- Infectious Diseases and Mycology
- Epidemiology top 1%
- Mycobacterium research and diagnosis
Papers in
- Epidemiology 36
- Mycobacterium research and diagnosis 33
- Food Science 19
- Probiotics and Fermented Foods 10
- Co-authors
- Irene R. Grant (24 shared papers)H.J. Ball (13 shared papers)John Donaghy (11 shared papers)S.D. Neill (1 shared paper)David McCleery (3 shared papers)Fiona J. Ferguson (1 shared paper)D. D. Muir (2 shared papers)Alan G. Williams (2 shared papers)
- Journals
- Letters in Applied Microbiology (18 papers)Applied and Environmental Microbiology (9 papers)International Journal of Dairy Technology (5 papers)Food Microbiology (5 papers)Journal of Dairy Research (3 papers)
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
M.T. Rowe
66 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 90
- Small Animals 488
- Epidemiology 1.4k
- Endocrinology 212
- Biotechnology 335
- Infectious Diseases 482
Countries citing papers authored by M.T. Rowe
This map shows the geographic impact of M.T. Rowe'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.T. Rowe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.T. Rowe more than expected).
Fields of papers citing papers by M.T. Rowe
This network shows the impact of papers produced by M.T. Rowe. 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.T. Rowe. The network helps show where M.T. Rowe may publish in the future.
Co-authors
The 25 scholars most cited alongside M.T. Rowe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 228 | |
| 2 | 1996 | 171 | |
| 3 | 2002 | 160 | |
| 4 | 1998 | 121 | |
| 5 | 2001 | 94 | |
| 6 | 2005 | 80 | |
| 7 | 2004 | 73 | |
| 8 | 1999 | 71 | |
| 9 | 2004 | 62 | |
| 10 | 1999 | 59 | |
| 11 | 2006 | 57 | |
| 12 | 1995 | 52 | |
| 13 | 2007 | 52 | |
| 14 | 2001 | 52 | |
| 15 | 2006 | 52 | |
| 16 | 1994 | 51 | |
| 17 | 2001 | 49 | |
| 18 | 2005 | 48 | |
| 19 | 2003 | 42 | |
| 20 | 2009 | 39 |
About M.T. Rowe
M.T. Rowe is a scholar working on Epidemiology, Food Science, Biotechnology, Small Animals and Infectious Diseases, having authored 71 papers that have together received 2.2k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (33 papers), Listeria monocytogenes in Food Safety (10 papers), Probiotics and Fermented Foods (10 papers), Viral gastroenteritis research and epidemiology (9 papers), Infectious Diseases and Mycology (9 papers), Escherichia coli research studies (8 papers), Bacteriophages and microbial interactions (7 papers) and Microbial Inactivation Methods (6 papers). The work is most often cited by research in Small Animals (488 citations), Epidemiology (1.4k citations), Endocrinology (212 citations), Biotechnology (335 citations) and Infectious Diseases (482 citations). M.T. Rowe has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Irene R. Grant, H.J. Ball, John Donaghy, S.D. Neill, David McCleery, Fiona J. Ferguson, D. D. Muir, Alan G. Williams, James C. Johnston and D.J. Kilpatrick. Their work appears in journals such as Letters in Applied Microbiology, Applied and Environmental Microbiology, International Journal of Dairy Technology, Food Microbiology and Journal of Dairy Research.
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.