Garry Blakely
- Endocrinology top 5%
- Enterobacteriaceae and Cronobacter Research 2
- Molecular Medicine top 5%
- Genetics top 5%
- Bacterial Genetics and Biotechnology 8
- Ecology top 5%
- Molecular Biology top 10%
- DNA Repair Mechanisms 6
- RNA and protein synthesis mechanisms 4
- Bacterial biofilms and quorum sensing 2
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- Bacterial Identification and Susceptibility Testing 6
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- Biosensors and Analytical Detection 3
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- Clostridium difficile and Clostridium perfringens research 2
- Co-authors
- Noreen E. MurrayDavid J. SherrattRichard McCullochSean D. CollomsLidia K. ArciszewskaGerhard MaySusan T. LovettMary Ellen Burke
- Journals
- Microbiology (2 papers)Journal of Visualized Experiments (2 papers)Molecular Microbiology (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Garry Blakely
19 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Endocrinology 164
- Molecular Medicine 135
- Genetics 500
- Ecology 307
- Molecular Biology 821
Countries citing papers authored by Garry Blakely
This map shows the geographic impact of Garry Blakely'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 Garry Blakely with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Garry Blakely more than expected).
Fields of papers citing papers by Garry Blakely
This network shows the impact of papers produced by Garry Blakely. 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 Garry Blakely. The network helps show where Garry Blakely may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Garry Blakely, 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 | 2018 | 26 | |
| 2 | 2017 | 24 | |
| 3 | 2016 | 1 | |
| 4 | 2016 | 1 | |
| 5 | 2015 | 43 | |
| 6 | 2014 | 26 | |
| 7 | 2011 | 60 | |
| 8 | 2009 | 21 | |
| 9 | Encyclopedia of Microbiologybreakdown → | 2009 | 576 |
| 10 | 2003 | 29 | |
| 11 | 2000 | 28 | |
| 12 | 1999 | 26 | |
| 13 | 1999 | 40 | |
| 14 | 1996 | 40 | |
| 15 | 1995 | 91 | |
| 16 | 1993 | 273 | |
| 17 | Site-specific recombination and the partition of bacterial chromosomes | 1993 | 5 |
| 18 | Escherichia coli XerC recombinase is required for chromosomal segregation at cell division. | 1991 | 155 |
| 19 | 1973 | 36 |
About Garry Blakely
Garry Blakely is a scholar working on Clinical Biochemistry, Endocrinology and Genetics, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), Bacterial Identification and Susceptibility Testing (6 papers), DNA Repair Mechanisms (6 papers), RNA and protein synthesis mechanisms (4 papers), Biosensors and Analytical Detection (3 papers), Enterobacteriaceae and Cronobacter Research (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers) and Bacterial biofilms and quorum sensing (2 papers). The work is most often cited by research in Endocrinology (164 citations), Molecular Medicine (135 citations) and Genetics (500 citations). Garry Blakely has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Noreen E. Murray, David J. Sherratt, Richard McCulloch, Sean D. Colloms, Lidia K. Arciszewska, Gerhard May, Susan T. Lovett, Mary Ellen Burke, M Burke and Georgiana May. Their work appears in journals such as Microbiology, Journal of Visualized Experiments, Molecular Microbiology, Journal of Materials Chemistry B and Journal of Bacteriology.
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.