Randall E. Burton
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Ubiquitin and proteasome pathways
- Heat shock proteins research
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
Papers in
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- Protein Structure and Dynamics 9
- Signaling Pathways in Disease 2
- RNA and protein synthesis mechanisms 2
- Ubiquitin and proteasome pathways 2
- Advanced biosensing and bioanalysis techniques 1
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- Enzyme Structure and Function 7
- Co-authors
- Robert T. Sauer (7 shared papers)Tania A. Baker (6 shared papers)Terrence G. Oas (5 shared papers)Briana M. Burton (2 shared papers)Margaret A. Daugherty (2 shared papers)Guewha Steven Huang (2 shared papers)Yong‐In Kim (1 shared paper)Daniel N. Bolon (2 shared papers)
- Journals
- Biochemistry (2 papers)Cell (2 papers)Protein Science (2 papers)Journal of Structural Biology (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- United StatesTaiwanGermany
In The Last Decade
Randall E. Burton
14 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 1.3k
- Cell Biology 294
- Structural Biology 23
- Materials Chemistry 584
- Genetics 340
Countries citing papers authored by Randall E. Burton
This map shows the geographic impact of Randall E. Burton'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 Randall E. Burton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Randall E. Burton more than expected).
Fields of papers citing papers by Randall E. Burton
This network shows the impact of papers produced by Randall E. Burton. 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 Randall E. Burton. The network helps show where Randall E. Burton may publish in the future.
Co-authors
The 25 scholars most cited alongside Randall E. Burton, 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 | 349 | |
| 2 | 2000 | 274 | |
| 3 | 1997 | 169 | |
| 4 | 2005 | 136 | |
| 5 | 1996 | 115 | |
| 6 | 1998 | 91 | |
| 7 | 2000 | 70 | |
| 8 | 2003 | 56 | |
| 9 | 2005 | 53 | |
| 10 | 2003 | 48 | |
| 11 | 1998 | 44 | |
| 12 | 2014 | 30 | |
| 13 | 2000 | 21 | |
| 14 | 2010 | 18 |
About Randall E. Burton
Randall E. Burton is a scholar working on Molecular Biology, Materials Chemistry, Genetics, Cell Biology and Oncology, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Enzyme Structure and Function (7 papers), Bacterial Genetics and Biotechnology (3 papers), Signaling Pathways in Disease (2 papers), RNA and protein synthesis mechanisms (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Ubiquitin and proteasome pathways (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Molecular Biology (1.3k citations), Cell Biology (294 citations), Structural Biology (23 citations), Materials Chemistry (584 citations) and Genetics (340 citations). Randall E. Burton has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Robert T. Sauer, Tania A. Baker, Terrence G. Oas, Briana M. Burton, Margaret A. Daugherty, Guewha Steven Huang, Yong‐In Kim, Daniel N. Bolon, Tiffany L. Calderone and Jon Kenniston. Their work appears in journals such as Biochemistry, Cell, Protein Science, Journal of Structural Biology and Analytical 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.