Brian D. Slaughter
Impact in
- Structural Biology top 2%
- Cell Biology top 1%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
Papers in
- Cell Biology 25
- Microtubule and mitosis dynamics 16
- Biophysics 15
- Advanced Fluorescence Microscopy Techniques 14
- Co-authors
- Jay R. Unruh (56 shared papers)Rong Li (16 shared papers)Boris Rubinstein (10 shared papers)Fengli Guo (6 shared papers)Joel W. Schwartz (3 shared papers)Kexi Yi (5 shared papers)Zulin Yu (9 shared papers)Sue L. Jaspersen (11 shared papers)
- Journals
- The Journal of Cell Biology (7 papers)Cell (7 papers)Proceedings of the National Academy of Sciences (6 papers)PLoS Genetics (4 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Brian D. Slaughter
75 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 133
- Structural Biology 132
- Cell Biology 1.1k
- Biophysics 373
- Aging 95
- Molecular Biology 2.7k
Countries citing papers authored by Brian D. Slaughter
This map shows the geographic impact of Brian D. Slaughter'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 D. Slaughter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian D. Slaughter more than expected).
Fields of papers citing papers by Brian D. Slaughter
This network shows the impact of papers produced by Brian D. Slaughter. 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 D. Slaughter. The network helps show where Brian D. Slaughter may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian D. Slaughter, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 376 | |
| 2 | 2011 | 234 | |
| 3 | 2012 | 227 | |
| 4 | 2014 | 185 | |
| 5 | 2017 | 112 | |
| 6 | 2007 | 111 | |
| 7 | 2011 | 108 | |
| 8 | 2009 | 102 | |
| 9 | 2013 | 101 | |
| 10 | 2015 | 90 | |
| 11 | 2015 | 89 | |
| 12 | 2012 | 88 | |
| 13 | 2012 | 80 | |
| 14 | 2011 | 74 | |
| 15 | 2016 | 73 | |
| 16 | 2014 | 72 | |
| 17 | 2012 | 71 | |
| 18 | 2016 | 67 | |
| 19 | 2018 | 64 | |
| 20 | 2013 | 62 |
About Brian D. Slaughter
Brian D. Slaughter is a scholar working on Cell Biology, Biophysics, Molecular Biology, Physical and Theoretical Chemistry and Cellular and Molecular Neuroscience, having authored 77 papers that have together received 3.6k indexed citations. Recurring topics across this work include RNA Research and Splicing (18 papers), Microtubule and mitosis dynamics (16 papers), Advanced Fluorescence Microscopy Techniques (14 papers), Photosynthetic Processes and Mechanisms (14 papers), Genomics and Chromatin Dynamics (12 papers), Nuclear Structure and Function (11 papers), Fungal and yeast genetics research (11 papers) and DNA Repair Mechanisms (9 papers). The work is most often cited by research in Structural Biology (132 citations), Cell Biology (1.1k citations), Biophysics (373 citations), Aging (95 citations) and Molecular Biology (2.7k citations). Brian D. Slaughter has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Jay R. Unruh, Rong Li, Boris Rubinstein, Fengli Guo, Joel W. Schwartz, Kexi Yi, Zulin Yu, Sue L. Jaspersen, Jennifer L. Gerton and Arupratan Das. Their work appears in journals such as The Journal of Cell Biology, Cell, Proceedings of the National Academy of Sciences, PLoS Genetics 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.