M.T. Smith
Impact in
- Genetics top 10%
- Bacterial Genetics and Biotechnology
-
- DNA Repair Mechanisms
- DNA and Nucleic Acid Chemistry
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
Papers in ⓘ
- Co-authors
- R.G. Wake (15 shared papers)Peter J. Lewis (2 shared papers)David B. Langley (3 shared papers)Glenn F. King (2 shared papers)Brenda J. Wilson (1 shared paper)Andy Scally (1 shared paper)Tiina P. Iismaa (1 shared paper)Matthew C. J. Wilce (1 shared paper)
- Journals
- Gene (5 papers)Journal of Molecular Biology (5 papers)Molecular Microbiology (2 papers)Journal of Bacteriology (2 papers)Microbiology (1 paper)
- Partner nations
- AustraliaNetherlandsUnited Kingdom
In The Last Decade
M.T. Smith
20 papers receiving 416 citations
Peers
Comparison fields: 5 of 62
- Genetics 317
- Molecular Biology 323
- Ecology 86
- Otorhinolaryngology 11
- Immunology and Allergy 10
Countries citing papers authored by M.T. Smith
This map shows the geographic impact of M.T. Smith'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. Smith 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. Smith more than expected).
Fields of papers citing papers by M.T. Smith
This network shows the impact of papers produced by M.T. Smith. 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. Smith. The network helps show where M.T. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside M.T. Smith, 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 | 1987 | 45 | |
| 2 | 1992 | 43 | |
| 3 | 1993 | 33 | |
| 4 | 2000 | 32 | |
| 5 | 1989 | 31 | |
| 6 | 1991 | 29 | |
| 7 | 1994 | 27 | |
| 8 | 1999 | 21 | |
| 9 | 1988 | 21 | |
| 10 | 1984 | 19 | |
| 11 | 1996 | 18 | |
| 12 | 1985 | 16 | |
| 13 | 1994 | 14 | |
| 14 | 1996 | 13 | |
| 15 | 1983 | 13 | |
| 16 | 2020 | 11 | |
| 17 | Chromosomal localization of the gene for Gaucher disease. | 1982 | 11 |
| 18 | 1993 | 10 | |
| 19 | 1987 | 7 | |
| 20 | 1989 | 6 |
About M.T. Smith
M.T. Smith is a scholar working on Genetics, Ecology, Molecular Biology, Otorhinolaryngology and Periodontics, having authored 20 papers that have together received 420 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (16 papers), DNA Repair Mechanisms (9 papers), DNA and Nucleic Acid Chemistry (8 papers), Bacteriophages and microbial interactions (7 papers), RNA and protein synthesis mechanisms (4 papers), Advanced biosensing and bioanalysis techniques (1 paper), Dermatological and Skeletal Disorders (1 paper) and Connective tissue disorders research (1 paper). The work is most often cited by research in Genetics (317 citations), Molecular Biology (323 citations), Ecology (86 citations), Otorhinolaryngology (11 citations) and Immunology and Allergy (10 citations). M.T. Smith has collaborated with scholars based in Australia, Netherlands and United Kingdom. Frequent co-authors include R.G. Wake, Peter J. Lewis, David B. Langley, Glenn F. King, Brenda J. Wilson, Andy Scally, Tiina P. Iismaa, Matthew C. J. Wilce, Madhu S. Malo and Iain G. Duggin. Their work appears in journals such as Gene, Journal of Molecular Biology, Molecular Microbiology, Journal of Bacteriology and Microbiology.
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.