Anne Moir
Impact in
- Genetics top 0.5%
- Bacterial Genetics and Biotechnology
- Biotechnology top 1%
- Microbial Inactivation Methods
Papers in
- Genetics 50
- Bacterial Genetics and Biotechnology 50
-
- Bacillus and Francisella bacterial research 14
- RNA and protein synthesis mechanisms 10
- Polyamine Metabolism and Applications 6
- Protein Structure and Dynamics 5
- Co-authors
- D. A. Smith (3 shared papers)Ian M. Feavers (8 shared papers)Bernard M. Corfe (4 shared papers)Mark O. Clements (2 shared papers)Malcolm J. Horsburgh (3 shared papers)Les Baillie (2 shared papers)Haridasan Chirakkal (4 shared papers)E. Helen Kemp (4 shared papers)
- Journals
- Journal of Bacteriology (18 papers)Microbiology (15 papers)Molecular Microbiology (4 papers)Gene (3 papers)Journal of Applied Microbiology (3 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Anne Moir
69 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 147
- Genetics 1.8k
- Biotechnology 496
- Ecology 1.3k
- Molecular Biology 2.2k
- Molecular Medicine 106
Countries citing papers authored by Anne Moir
This map shows the geographic impact of Anne Moir'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 Anne Moir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Moir more than expected).
Fields of papers citing papers by Anne Moir
This network shows the impact of papers produced by Anne Moir. 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 Anne Moir. The network helps show where Anne Moir may publish in the future.
Co-authors
The 25 scholars most cited alongside Anne Moir, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 226 | |
| 2 | 1990 | 185 | |
| 3 | 2004 | 161 | |
| 4 | 2002 | 156 | |
| 5 | 2002 | 120 | |
| 6 | 1998 | 119 | |
| 7 | 2001 | 107 | |
| 8 | 1981 | 106 | |
| 9 | 2003 | 104 | |
| 10 | Brain Sex: The Real Difference Between Men and Women | 1989 | 104 |
| 11 | 1979 | 103 | |
| 12 | 2002 | 103 | |
| 13 | 1999 | 96 | |
| 14 | 1999 | 92 | |
| 15 | 2000 | 81 | |
| 16 | 1987 | 78 | |
| 17 | 1994 | 71 | |
| 18 | 2000 | 68 | |
| 19 | 1990 | 65 | |
| 20 | 2008 | 61 |
About Anne Moir
Anne Moir is a scholar working on Genetics, Molecular Biology, Ecology, Plant Science and Materials Chemistry, having authored 69 papers that have together received 3.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (50 papers), Bacteriophages and microbial interactions (38 papers), Bacillus and Francisella bacterial research (14 papers), Legume Nitrogen Fixing Symbiosis (13 papers), Enzyme Structure and Function (11 papers), RNA and protein synthesis mechanisms (10 papers), Polyamine Metabolism and Applications (6 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Genetics (1.8k citations), Biotechnology (496 citations), Ecology (1.3k citations), Molecular Biology (2.2k citations) and Molecular Medicine (106 citations). Anne Moir has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include D. A. Smith, Ian M. Feavers, Bernard M. Corfe, Mark O. Clements, Malcolm J. Horsburgh, Les Baillie, Haridasan Chirakkal, E. Helen Kemp, Caroline Redmond and Simon J. Foster. Their work appears in journals such as Journal of Bacteriology, Microbiology, Molecular Microbiology, Gene and Journal of Applied 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.