Daniel G. Booth
Impact in
- Structural Biology top 5%
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
Papers in
-
- Genomics and Chromatin Dynamics 10
- RNA Research and Splicing 5
- Photosynthetic Processes and Mechanisms 3
- DNA Repair Mechanisms 2
- Cell Biology 11
- Microtubule and mitosis dynamics 9
- Cellular transport and secretion 3
- Co-authors
- William C. Earnshaw (9 shared papers)Ian A. Prior (8 shared papers)Stephen Royle (4 shared papers)Fiona E. Hood (3 shared papers)Giulia Vargiu (5 shared papers)Kumiko Samejima (5 shared papers)Alastair Kerr (2 shared papers)David A. Kelly (1 shared paper)
- Journals
- eLife (3 papers)Journal of Cell Science (3 papers)Molecular Cell (2 papers)Nature Communications (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- United KingdomJapanUnited States
In The Last Decade
Daniel G. Booth
19 papers receiving 753 citations
Peers
Comparison fields: 5 of 69
- Structural Biology 31
- Cell Biology 297
- Molecular Biology 618
- Biophysics 25
- Plant Science 112
Countries citing papers authored by Daniel G. Booth
This map shows the geographic impact of Daniel G. Booth'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 Daniel G. Booth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel G. Booth more than expected).
Fields of papers citing papers by Daniel G. Booth
This network shows the impact of papers produced by Daniel G. Booth. 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 Daniel G. Booth. The network helps show where Daniel G. Booth may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel G. Booth, 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 | 2014 | 156 | |
| 2 | 2016 | 134 | |
| 3 | 2011 | 125 | |
| 4 | 2016 | 86 | |
| 5 | 2017 | 54 | |
| 6 | 2018 | 45 | |
| 7 | 2015 | 39 | |
| 8 | 2011 | 35 | |
| 9 | 2016 | 19 | |
| 10 | 2019 | 17 | |
| 11 | 2017 | 14 | |
| 12 | 2013 | 10 | |
| 13 | 2019 | 8 | |
| 14 | 2021 | 6 | |
| 15 | 2024 | 4 | |
| 16 | 2025 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2014 | 1 | |
| 20 | 2025 | 0 |
About Daniel G. Booth
Daniel G. Booth is a scholar working on Molecular Biology, Cell Biology, Plant Science, Structural Biology and Biophysics, having authored 20 papers that have together received 756 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (10 papers), Microtubule and mitosis dynamics (9 papers), RNA Research and Splicing (5 papers), Chromosomal and Genetic Variations (3 papers), Cellular transport and secretion (3 papers), Photosynthetic Processes and Mechanisms (3 papers), DNA Repair Mechanisms (2 papers) and Advanced Electron Microscopy Techniques and Applications (2 papers). The work is most often cited by research in Structural Biology (31 citations), Cell Biology (297 citations), Molecular Biology (618 citations), Biophysics (25 citations) and Plant Science (112 citations). Daniel G. Booth has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include William C. Earnshaw, Ian A. Prior, Stephen Royle, Fiona E. Hood, Giulia Vargiu, Kumiko Samejima, Alastair Kerr, David A. Kelly, Jose I. de las Heras and Shaun Webb. Their work appears in journals such as eLife, Journal of Cell Science, Molecular Cell, Nature Communications and Molecular Biology of the Cell.
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.