Victoria Derbyshire
- Molecular Biology top 5%
- Genetics top 5%
- Ecology top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Infectious Diseases top 10%
- Co-authors
- Marlene BelfortL.S. BeeseThomas A. SteitzDavid W. WoodNigel D. F. GrindleyCaroline JoyceJohn T. DansereauGeorges Belfort
- Topics
- RNA and protein synthesis mechanisms (22 papers)Bacterial Genetics and Biotechnology (12 papers)Bacteriophages and microbial interactions (8 papers)
- Cited by
- Molecular BiologyGeneticsEcology
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Victoria Derbyshire
28 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Molecular Biology 2.1k
- Genetics 556
- Ecology 384
- Radiology, Nuclear Medicine and Imaging 204
- Infectious Diseases 183
Countries citing papers authored by Victoria Derbyshire
This map shows the geographic impact of Victoria Derbyshire'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 Victoria Derbyshire with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victoria Derbyshire more than expected).
Fields of papers citing papers by Victoria Derbyshire
This network shows the impact of papers produced by Victoria Derbyshire. 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 Victoria Derbyshire. The network helps show where Victoria Derbyshire may publish in the future.
Co-authorship network of co-authors of Victoria Derbyshire
This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Derbyshire. A scholar is included among the top collaborators of Victoria Derbyshire 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 Victoria Derbyshire. Victoria Derbyshire is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 13 | |
| 3 | 12 | |
| 4 | 9 | |
| 5 | 69 | |
| 6 | 46 | |
| 7 | 10 | |
| 8 | 35 | |
| 9 | 77 | |
| 10 | 17 | |
| 11 | 76 | |
| 12 | 218 | |
| 13 | 94 | |
| 14 | 54 | |
| 15 | 79 | |
| 16 | 48 | |
| 17 | 55 | |
| 18 | Escherichia coli protein StpA stimulates self-splicing by promoting RNA assembly in vitro. | 83 |
| 19 | 8 | |
| 20 | 243 |
About Victoria Derbyshire
Victoria Derbyshire is a scholar working on Genetics, Molecular Biology and Ecology, having authored 28 papers that have together received 2.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (22 papers), Bacterial Genetics and Biotechnology (12 papers) and Bacteriophages and microbial interactions (8 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Genetics (556 citations) and Ecology (384 citations). Victoria Derbyshire has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Marlene Belfort, L.S. Beese, Thomas A. Steitz, David W. Wood, Nigel D. F. Grindley, Caroline Joyce, John T. Dansereau, Georges Belfort, Patrick Van Roey and Joseph C. Kowalski. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.