Lanette Fee
Impact in
- Molecular Biology top 2%
- Protein Structure and Dynamics
- Protein Interaction Studies and Fluorescence Analysis
- RNA and protein synthesis mechanisms
- Glycosylation and Glycoproteins Research
- Protein purification and stability
- Biotechnology top 2%
Papers in
-
- Ubiquitin and proteasome pathways 2
- 14-3-3 protein interactions 2
- Protein Structure and Dynamics 2
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- Amyotrophic Lateral Sclerosis Research 3
- Parkinson's Disease Mechanisms and Treatments 3
- Co-authors
- C. Nick Pace (2 shared papers)Gerald R. Grimsley (2 shared papers)F.F. Vajdos (1 shared paper)Michael Caplow (4 shared papers)Nikolay V. Dokholyan (4 shared papers)Rachel L. Redler (3 shared papers)Richard L. Thurlkill (1 shared paper)J. Martin Scholtz (1 shared paper)
- Journals
- Biochemistry (4 papers)Proceedings of the National Academy of Sciences (2 papers)Protein Science (2 papers)Genetics (1 paper)Journal of Muscle Research and Cell Motility (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Lanette Fee
12 papers receiving 4.0k citations
Lanette Fee's Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 3.0k
- Biotechnology 273
- Cell Biology 357
- Microbiology 102
- Materials Chemistry 717
Countries citing papers authored by Lanette Fee
This map shows the geographic impact of Lanette Fee'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 Lanette Fee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lanette Fee more than expected).
Fields of papers citing papers by Lanette Fee
This network shows the impact of papers produced by Lanette Fee. 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 Lanette Fee. The network helps show where Lanette Fee may publish in the future.
Co-authors
The 25 scholars most cited alongside Lanette Fee, 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 | How to measure and predict the molar absorption coefficient of a protein Hit paper breakdown → | 1995 | 3456 |
| 2 | 1999 | 182 | |
| 3 | 2013 | 103 | |
| 4 | 2015 | 100 | |
| 5 | 2011 | 76 | |
| 6 | 2002 | 44 | |
| 7 | 2014 | 36 | |
| 8 | 1999 | 32 | |
| 9 | 2007 | 29 | |
| 10 | 2003 | 14 | |
| 11 | 2017 | 6 | |
| 12 | 2024 | 2 |
About Lanette Fee
Lanette Fee is a scholar working on Molecular Biology, Neurology, Cell Biology, Physiology and Materials Chemistry, having authored 12 papers that have together received 4.1k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (3 papers), Microtubule and mitosis dynamics (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Ubiquitin and proteasome pathways (2 papers), Alzheimer's disease research and treatments (2 papers), 14-3-3 protein interactions (2 papers), Enzyme Structure and Function (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Molecular Biology (3.0k citations), Biotechnology (273 citations), Cell Biology (357 citations), Microbiology (102 citations) and Materials Chemistry (717 citations). Lanette Fee has collaborated with scholars based in United States, China and Australia. Frequent co-authors include C. Nick Pace, Gerald R. Grimsley, F.F. Vajdos, Michael Caplow, Nikolay V. Dokholyan, Rachel L. Redler, Richard L. Thurlkill, J. Martin Scholtz, Roy W. Alston and Beatrice M.P. Huyghues‐Despointes. Their work appears in journals such as Biochemistry, Proceedings of the National Academy of Sciences, Protein Science, Genetics and Journal of Muscle Research and Cell Motility.
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.