M. Goodson
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Biotechnology top 5%
- Listeria monocytogenes in Food Safety
- Microbial Inactivation Methods
Papers in
- Genetics 25
- Bacterial Genetics and Biotechnology 24
- Evolution and Genetic Dynamics 3
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- Protein Structure and Dynamics 8
- DNA Repair Mechanisms 4
- RNA and protein synthesis mechanisms 4
- Microbial Metabolic Engineering and Bioproduction 3
- Co-authors
- R. J. Rowbury (27 shared papers)T. J. Humphrey (5 shared papers)D. G. Smith (2 shared papers)
- Journals
- Letters in Applied Microbiology (9 papers)Journal of Applied Microbiology (2 papers)Science Progress (2 papers)Canadian Journal of Microbiology (1 paper)Microbiology (1 paper)
- Partner nations
- United KingdomAustralia
In The Last Decade
M. Goodson
28 papers receiving 595 citations
Peers
Comparison fields: 5 of 58
- Endocrinology 145
- Biotechnology 177
- Food Science 214
- Genetics 217
- Filtration and Separation 11
Countries citing papers authored by M. Goodson
This map shows the geographic impact of M. Goodson'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. Goodson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Goodson more than expected).
Fields of papers citing papers by M. Goodson
This network shows the impact of papers produced by M. Goodson. 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. Goodson. The network helps show where M. Goodson may publish in the future.
Co-authors
The 3 scholars most cited alongside M. Goodson, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 147 | |
| 2 | 1989 | 55 | |
| 3 | 1991 | 46 | |
| 4 | 1991 | 39 | |
| 5 | 1992 | 30 | |
| 6 | 1990 | 30 | |
| 7 | 1993 | 27 | |
| 8 | 1999 | 26 | |
| 9 | 2001 | 25 | |
| 10 | 1996 | 24 | |
| 11 | 1994 | 23 | |
| 12 | 1998 | 22 | |
| 13 | 1991 | 21 | |
| 14 | 1999 | 20 | |
| 15 | 1999 | 19 | |
| 16 | Recent advances in biology: intercellular communication and quorum sensing in micro-organisms. | 1998 | 16 |
| 17 | 1998 | 14 | |
| 18 | 1993 | 12 | |
| 19 | 1989 | 10 | |
| 20 | 1993 | 9 |
About M. Goodson
M. Goodson is a scholar working on Genetics, Molecular Biology, Ecology, Food Science and Molecular Medicine, having authored 28 papers that have together received 649 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (24 papers), Protein Structure and Dynamics (8 papers), Bacteriophages and microbial interactions (7 papers), DNA Repair Mechanisms (4 papers), RNA and protein synthesis mechanisms (4 papers), Escherichia coli research studies (3 papers), Evolution and Genetic Dynamics (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). The work is most often cited by research in Endocrinology (145 citations), Biotechnology (177 citations), Food Science (214 citations), Genetics (217 citations) and Filtration and Separation (11 citations). M. Goodson has collaborated with scholars based in United Kingdom and Australia. Frequent co-authors include R. J. Rowbury, T. J. Humphrey and D. G. Smith. Their work appears in journals such as Letters in Applied Microbiology, Journal of Applied Microbiology, Science Progress, Canadian Journal of Microbiology 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.