Brian Dalby
Impact in
- Molecular Biology top 10%
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- RNA Research and Splicing
- Developmental Biology and Gene Regulation
- Mitochondrial Function and Pathology
- Genomics and Chromatin Dynamics
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
-
- Genomics and Chromatin Dynamics 3
- Protist diversity and phylogeny 2
- RNA Research and Splicing 2
- Developmental Biology and Gene Regulation 2
- Advanced biosensing and bioanalysis techniques 1
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- Microtubule and mitosis dynamics 3
- Co-authors
- David M. Glover (4 shared papers)Lawrence S.B. Goldstein (2 shared papers)Andrea Pereira (2 shared papers)Russell J. Stewart (1 shared paper)Stephen Doxsey (1 shared paper)Chaoting Liu (1 shared paper)Weixing Chen (1 shared paper)Henry C. Chiou (1 shared paper)
- Journals
- Journal of Cell Science (2 papers)Methods (1 paper)The EMBO Journal (1 paper)The Journal of Cell Biology (1 paper)Genetics (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Brian Dalby
8 papers receiving 920 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 780
- Cell Biology 184
- Aging 18
- Genetics 200
- Cancer Research 79
Countries citing papers authored by Brian Dalby
This map shows the geographic impact of Brian Dalby'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 Brian Dalby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Dalby more than expected).
Fields of papers citing papers by Brian Dalby
This network shows the impact of papers produced by Brian Dalby. 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 Brian Dalby. The network helps show where Brian Dalby may publish in the future.
Co-authors
The 19 scholars most cited alongside Brian Dalby, 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 | 2004 | 462 | |
| 2 | 1997 | 110 | |
| 3 | 1993 | 104 | |
| 4 | 1992 | 83 | |
| 5 | 2008 | 73 | |
| 6 | 1994 | 44 | |
| 7 | 1995 | 41 | |
| 8 | 1989 | 21 |
About Brian Dalby
Brian Dalby is a scholar working on Molecular Biology, Cell Biology, Plant Science, Infectious Diseases and Genetics, having authored 8 papers that have together received 938 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Microtubule and mitosis dynamics (3 papers), Protist diversity and phylogeny (2 papers), RNA Research and Splicing (2 papers), Chromosomal and Genetic Variations (2 papers), Developmental Biology and Gene Regulation (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Molecular Biology (780 citations), Cell Biology (184 citations), Aging (18 citations), Genetics (200 citations) and Cancer Research (79 citations). Brian Dalby has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include David M. Glover, Lawrence S.B. Goldstein, Andrea Pereira, Russell J. Stewart, Stephen Doxsey, Chaoting Liu, Weixing Chen, Henry C. Chiou, Salud Llamazares and Robert D. C. Saunders. Their work appears in journals such as Journal of Cell Science, Methods, The EMBO Journal, The Journal of Cell Biology and Genetics.
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.