Todd C. Peterson
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms 8
- CRISPR and Genetic Engineering 7
- Lipid Membrane Structure and Behavior 6
- Gene Regulatory Network Analysis 3
- Genetics top 5%
- Bacterial Genetics and Biotechnology 4
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms 9
- Traumatic Brain Injury and Neurovascular Disturbances 4
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- Algal biology and biofuel production 3
- Developmental Neuroscience top 10%
- Co-authors
- Christopher A. VoigtKevin ClancyAlec A. K. NielsenFederico KatzenWieslaw KudlickiYing-Ja ChenPeng LiuAlvin Tamsir
- Cited by
- Molecular BiologyGeneticsNeurology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesCanadaNorway
In The Last Decade
Todd C. Peterson
51 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 156
- Molecular Biology 1.8k
- Genetics 413
- Neurology 111
- Renewable Energy, Sustainability and the Environment 184
- Developmental Neuroscience 38
Countries citing papers authored by Todd C. Peterson
This map shows the geographic impact of Todd C. Peterson'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 Todd C. Peterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd C. Peterson more than expected).
Fields of papers citing papers by Todd C. Peterson
This network shows the impact of papers produced by Todd C. Peterson. 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 Todd C. Peterson. The network helps show where Todd C. Peterson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Todd C. Peterson, 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 | 2024 | 11 | |
| 2 | 2023 | 25 | |
| 3 | 2021 | 1 | |
| 4 | 2020 | 10 | |
| 5 | 2018 | 41 | |
| 6 | 2017 | 30 | |
| 7 | 2015 | 27 | |
| 8 | 2015 | 45 | |
| 9 | 2014 | 131 | |
| 10 | 2013 | 2 | |
| 11 | 2013 | 14 | |
| 12 | 2013 | 138 | |
| 13 | 2012 | 14 | |
| 14 | 2011 | 49 | |
| 15 | 2011 | 19 | |
| 16 | 2009 | 105 | |
| 17 | 2009 | 2 | |
| 18 | Application forum. Cell-free protein expression of membrane proteins using nanolipoprotein particles | 2008 | 6 |
| 19 | 2001 | 8 | |
| 20 | 1989 | 16 |
About Todd C. Peterson
Todd C. Peterson is a scholar working on Neurology, Developmental Neuroscience and Sensory Systems, having authored 52 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), RNA and protein synthesis mechanisms (8 papers), CRISPR and Genetic Engineering (7 papers), Lipid Membrane Structure and Behavior (6 papers), Bacterial Genetics and Biotechnology (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Algal biology and biofuel production (3 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Genetics (413 citations) and Neurology (111 citations). Todd C. Peterson has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include Christopher A. Voigt, Kevin Clancy, Alec A. K. Nielsen, Federico Katzen, Wieslaw Kudlicki, Ying-Ja Chen, Peng Liu, Alvin Tamsir, Brynne C. Stanton and Michael R. Hoane. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.