Megan Egbert
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
- RNA and protein synthesis mechanisms
- Genomics, phytochemicals, and oxidative stress
- Protein Degradation and Inhibitors
Papers in
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- Protein Structure and Dynamics 6
- Coenzyme Q10 studies and effects 1
- Protein purification and stability 1
- Glutathione Transferases and Polymorphisms 1
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- Computational Drug Discovery Methods 7
- Co-authors
- Sándor Vajda (8 shared papers)Adrian Whitty (3 shared papers)Amanda Wakefield (2 shared papers)Dmitri Beglov (1 shared paper)György M. Keserű (1 shared paper)Dima Kozakov (6 shared papers)Martin Sattler (1 shared paper)Ralph Lucius (1 shared paper)
- Journals
- Journal of Molecular Biology (2 papers)Acta Crystallographica Section D Structural Biology (1 paper)Computational and Structural Biotechnology Journal (1 paper)Proteins Structure Function and Bioinformatics (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesGermanyHungary
In The Last Decade
Megan Egbert
11 papers receiving 356 citations
Peers
Comparison fields: 5 of 85
- Computational Theory and Mathematics 130
- Molecular Biology 254
- Dermatology 21
- Pharmacology 14
- Pharmacology 27
Countries citing papers authored by Megan Egbert
This map shows the geographic impact of Megan Egbert'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 Megan Egbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megan Egbert more than expected).
Fields of papers citing papers by Megan Egbert
This network shows the impact of papers produced by Megan Egbert. 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 Megan Egbert. The network helps show where Megan Egbert may publish in the future.
Co-authors
The 25 scholars most cited alongside Megan Egbert, 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 | 2018 | 114 | |
| 2 | 2019 | 84 | |
| 3 | 2013 | 61 | |
| 4 | 2019 | 30 | |
| 5 | 2022 | 29 | |
| 6 | 2019 | 17 | |
| 7 | 2022 | 16 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 2 | |
| 10 | 2017 | 2 | |
| 11 | Making, Literacy, and College Career Readiness: When Developing Maker Opportunities for Teens, Don't Forget That the Skills Learned Will Help Youth to Succeed in Life after High School | 2016 | 1 |
About Megan Egbert
Megan Egbert is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Pharmacology and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 364 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (6 papers), Enzyme Structure and Function (3 papers), Literacy, Media, and Education (1 paper), Library Science and Information Literacy (1 paper), Coenzyme Q10 studies and effects (1 paper), Protein purification and stability (1 paper) and Glutathione Transferases and Polymorphisms (1 paper). The work is most often cited by research in Computational Theory and Mathematics (130 citations), Molecular Biology (254 citations), Dermatology (21 citations), Pharmacology (14 citations) and Pharmacology (27 citations). Megan Egbert has collaborated with scholars based in United States, Germany and Hungary. Frequent co-authors include Sándor Vajda, Adrian Whitty, Amanda Wakefield, Dmitri Beglov, György M. Keserű, Dima Kozakov, Martin Sattler, Ralph Lucius, M. Ruetze and Horst Wenck. Their work appears in journals such as Journal of Molecular Biology, Acta Crystallographica Section D Structural Biology, Computational and Structural Biotechnology Journal, Proteins Structure Function and Bioinformatics and Biochemistry.
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.