Timothy H. Bayburt
- Structural Biology top 2%
- Molecular Biology top 2%
- Lipid Membrane Structure and Behavior 16
- Receptor Mechanisms and Signaling 5
- Advanced biosensing and bioanalysis techniques 3
- Protein Kinase Regulation and GTPase Signaling 3
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- Photoreceptor and optogenetics research 7
- Neuroscience and Neuropharmacology Research 3
- Biophysics top 2%
- Spectroscopy top 2%
- Mass Spectrometry Techniques and Applications 2
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- Force Microscopy Techniques and Applications 3
- Co-authors
- Stephen G. SligarYelena V. GrinkovaMichael H. GelbIlia G. DenisovTasha K. RitchieJoseph K. ZolnerciksWilliam M. AtkinsJoseph W. Carlson
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (3 papers)Angewandte Chemie International Edition (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Timothy H. Bayburt
25 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Structural Biology 85
- Molecular Biology 3.4k
- Cellular and Molecular Neuroscience 785
- Biophysics 172
- Spectroscopy 491
Countries citing papers authored by Timothy H. Bayburt
This map shows the geographic impact of Timothy H. Bayburt'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 Timothy H. Bayburt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy H. Bayburt more than expected).
Fields of papers citing papers by Timothy H. Bayburt
This network shows the impact of papers produced by Timothy H. Bayburt. 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 Timothy H. Bayburt. The network helps show where Timothy H. Bayburt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Timothy H. Bayburt, 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 | 2017 | 80 | |
| 2 | 2010 | 107 | |
| 3 | 2010 | 151 | |
| 4 | Membrane protein assembly into Nanodiscsbreakdown → | 2009 | 593 |
| 5 | Reconstitution of Membrane Proteins in Phospholipid Bilayer Nanodiscsbreakdown → | 2009 | 673 |
| 6 | 2007 | 50 | |
| 7 | 2007 | 283 | |
| 8 | 2006 | 138 | |
| 9 | 2003 | 223 | |
| 10 | 2003 | 135 | |
| 11 | 2002 | 161 | |
| 12 | Self-Assembly of Discoidal Phospholipid Bilayer Nanoparticles with Membrane Scaffold Proteinsbreakdown → | 2002 | 621 |
| 13 | 2000 | 13 | |
| 14 | 1998 | 133 | |
| 15 | 1995 | 39 | |
| 16 | 1995 | 294 | |
| 17 | 1994 | 10 | |
| 18 | 1993 | 86 | |
| 19 | 1992 | 48 | |
| 20 | 1990 | 38 |
About Timothy H. Bayburt
Timothy H. Bayburt is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology, having authored 25 papers that have together received 4.3k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (16 papers), Photoreceptor and optogenetics research (7 papers), Receptor Mechanisms and Signaling (5 papers), Force Microscopy Techniques and Applications (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Structural Biology (85 citations), Molecular Biology (3.4k citations) and Cellular and Molecular Neuroscience (785 citations). Timothy H. Bayburt has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Stephen G. Sligar, Yelena V. Grinkova, Michael H. Gelb, Ilia G. Denisov, Tasha K. Ritchie, Stephen G. Sligar, Joseph K. Zolnerciks, William M. Atkins, Joseph W. Carlson and Sarah Glover. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.