Mark Tizard
Impact in
- Small Animals top 0.5%
- Infectious Diseases and Mycology
- Epidemiology top 1%
- Mycobacterium research and diagnosis
Papers in
-
- CRISPR and Genetic Engineering 19
- RNA Interference and Gene Delivery 11
- Epidemiology 26
- Mycobacterium research and diagnosis 22
- Co-authors
- John Hermon-Taylor (14 shared papers)M. Moss (5 shared papers)Jeremy Sanderson (7 shared papers)Timothy J. Doran (21 shared papers)Robert J. Moore (6 shared papers)Douglas Millar (4 shared papers)J. Thompson (1 shared paper)David J. Winterbourne (1 shared paper)
- Journals
- Transgenic Research (7 papers)Microbiology (5 papers)Veterinary Microbiology (4 papers)Biology of Reproduction (3 papers)Gut (3 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Mark Tizard
72 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 129
- Small Animals 500
- Epidemiology 1.8k
- Infectious Diseases 768
- Pharmacology 254
- Cancer Research 403
Countries citing papers authored by Mark Tizard
This map shows the geographic impact of Mark Tizard'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 Mark Tizard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Tizard more than expected).
Fields of papers citing papers by Mark Tizard
This network shows the impact of papers produced by Mark Tizard. 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 Mark Tizard. The network helps show where Mark Tizard may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Tizard, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 399 | |
| 2 | 1992 | 287 | |
| 3 | 2008 | 274 | |
| 4 | 1985 | 253 | |
| 5 | 1996 | 228 | |
| 6 | 1992 | 152 | |
| 7 | 1997 | 127 | |
| 8 | 2000 | 115 | |
| 9 | 1995 | 91 | |
| 10 | 2009 | 88 | |
| 11 | 1992 | 74 | |
| 12 | 2017 | 71 | |
| 13 | 2006 | 66 | |
| 14 | 2005 | 66 | |
| 15 | 1991 | 66 | |
| 16 | 2012 | 61 | |
| 17 | 1992 | 57 | |
| 18 | 2011 | 55 | |
| 19 | 2018 | 55 | |
| 20 | 2012 | 53 |
About Mark Tizard
Mark Tizard is a scholar working on Molecular Biology, Epidemiology, Genetics, Infectious Diseases and Plant Science, having authored 72 papers that have together received 3.6k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (22 papers), CRISPR and Genetic Engineering (19 papers), Animal Genetics and Reproduction (17 papers), Tuberculosis Research and Epidemiology (13 papers), RNA Interference and Gene Delivery (11 papers), MicroRNA in disease regulation (7 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Small Animals (500 citations), Epidemiology (1.8k citations), Infectious Diseases (768 citations), Pharmacology (254 citations) and Cancer Research (403 citations). Mark Tizard has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include John Hermon-Taylor, M. Moss, Jeremy Sanderson, Timothy J. Doran, Robert J. Moore, Douglas Millar, J. Thompson, David J. Winterbourne, Johnjoe McFadden and F A el-Zaatari. Their work appears in journals such as Transgenic Research, Microbiology, Veterinary Microbiology, Biology of Reproduction and Gut.
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.