Malcolm Buckle
Impact in
- Virology top 10%
-
- Bacterial Genetics and Biotechnology
Papers in
- Virology 3
- HIV Research and Treatment 2
- Rabies epidemiology and control 1
-
- RNA and protein synthesis mechanisms 5
- RNA Research and Splicing 3
- Advanced biosensing and bioanalysis techniques 2
- CRISPR and Genetic Engineering 1
- Co-authors
- Noël Tordo (1 shared paper)Claude Noguès (7 shared papers)Hervé Leh (6 shared papers)Kevin Gaston (2 shared papers)Joseph Lautru (3 shared papers)Edward N. Brody (1 shared paper)Karen Louise Adelman (1 shared paper)Joanna Olesiak‐Bańska (1 shared paper)
- Journals
- PLoS ONE (4 papers)Nucleic Acids Research (3 papers)Biochimie (3 papers)Molecular Microbiology (2 papers)Journal of General Virology (1 paper)
- Partner nations
- FrancePolandUnited Kingdom
In The Last Decade
Malcolm Buckle
25 papers receiving 439 citations
Peers
Comparison fields: 5 of 77
- Virology 35
- Genetics 88
- Molecular Biology 216
- Epidemiology 82
- Electronic, Optical and Magnetic Materials 45
Countries citing papers authored by Malcolm Buckle
This map shows the geographic impact of Malcolm Buckle'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 Malcolm Buckle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malcolm Buckle more than expected).
Fields of papers citing papers by Malcolm Buckle
This network shows the impact of papers produced by Malcolm Buckle. 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 Malcolm Buckle. The network helps show where Malcolm Buckle may publish in the future.
Co-authors
The 25 scholars most cited alongside Malcolm Buckle, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 66 | |
| 2 | 2006 | 54 | |
| 3 | 2013 | 53 | |
| 4 | 2014 | 42 | |
| 5 | 2009 | 32 | |
| 6 | 2012 | 30 | |
| 7 | 1998 | 29 | |
| 8 | 1996 | 26 | |
| 9 | 2012 | 22 | |
| 10 | 2002 | 20 | |
| 11 | 2004 | 13 | |
| 12 | 2013 | 12 | |
| 13 | 2007 | 9 | |
| 14 | 2004 | 9 | |
| 15 | 1987 | 7 | |
| 16 | 2016 | 6 | |
| 17 | 2007 | 5 | |
| 18 | 2018 | 4 | |
| 19 | 2015 | 3 | |
| 20 | 2019 | 3 |
About Malcolm Buckle
Malcolm Buckle is a scholar working on Virology, Molecular Biology, Genetics, Ecology and Plant Science, having authored 25 papers that have together received 453 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Bacterial Genetics and Biotechnology (4 papers), Bacteriophages and microbial interactions (4 papers), RNA Research and Splicing (3 papers), HIV Research and Treatment (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), CRISPR and Genetic Engineering (1 paper) and Rabies epidemiology and control (1 paper). The work is most often cited by research in Virology (35 citations), Genetics (88 citations), Molecular Biology (216 citations), Epidemiology (82 citations) and Electronic, Optical and Magnetic Materials (45 citations). Malcolm Buckle has collaborated with scholars based in France, Poland and United Kingdom. Frequent co-authors include Noël Tordo, Claude Noguès, Hervé Leh, Kevin Gaston, Joseph Lautru, Edward N. Brody, Karen Louise Adelman, Joanna Olesiak‐Bańska, Marek J. Samoc and Marta Gordel-Wójcik. Their work appears in journals such as PLoS ONE, Nucleic Acids Research, Biochimie, Molecular Microbiology and Journal of General Virology.
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.