Margaret C. M. Smith
- Molecular Biology top 2%
- Ecology top 0.5%
- Genetics top 1%
- Pharmacology top 1%
- Plant Science top 2%
- Co-authors
- Graham F. HatfullRoger W. HendrixRobin BurnsMichael E. FordRob TillMatthew A. GregoryS. BaumbergAndrew McEwan
- Topics
- Bacteriophages and microbial interactions (46 papers)Genomics and Phylogenetic Studies (32 papers)RNA and protein synthesis mechanisms (25 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Margaret C. M. Smith
117 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 3.8k
- Ecology 2.0k
- Genetics 1.4k
- Pharmacology 868
- Plant Science 861
Countries citing papers authored by Margaret C. M. Smith
This map shows the geographic impact of Margaret C. M. 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 Margaret C. M. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret C. M. Smith more than expected).
Fields of papers citing papers by Margaret C. M. Smith
This network shows the impact of papers produced by Margaret C. M. 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 Margaret C. M. Smith. The network helps show where Margaret C. M. Smith may publish in the future.
Co-authorship network of co-authors of Margaret C. M. Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Margaret C. M. Smith. A scholar is included among the top collaborators of Margaret C. M. Smith based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Margaret C. M. Smith. Margaret C. M. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 15 | |
| 4 | 98 | |
| 5 | 12 | |
| 6 | 53 | |
| 7 | 27 | |
| 8 | 74 | |
| 9 | 26 | |
| 10 | 23 | |
| 11 | Universal NGS Library Preparation on the Apollo 324 TM System: Automated Ion Torrent Personal Genome Machine Library Preparation | 1 |
| 12 | 36 | |
| 13 | 46 | |
| 14 | 47 | |
| 15 | 54 | |
| 16 | 1 | |
| 17 | 11 | |
| 18 | 12 | |
| 19 | A diallel analysis of germination in sugar beet (Beta vulgaris L.). | 5 |
| 20 | 23 |
About Margaret C. M. Smith
Margaret C. M. Smith is a scholar working on Microbiology, Ecology and Molecular Biology, having authored 120 papers that have together received 5.3k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (46 papers), Genomics and Phylogenetic Studies (32 papers) and RNA and protein synthesis mechanisms (25 papers). The work is most often cited by research in Ecology (2.0k citations), Endocrinology (316 citations) and Molecular Biology (3.8k citations). Margaret C. M. Smith has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Graham F. Hatfull, Roger W. Hendrix, Robin Burns, Michael E. Ford, Rob Till, Matthew A. Gregory, S. Baumberg, Andrew McEwan, William R. Brown and Ville‐Petri Friman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.