Thomas E. Frederick
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
-
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
- Antimicrobial Resistance in Staphylococcus
Papers in
-
- Protein Structure and Dynamics 4
- Lipid Membrane Structure and Behavior 3
- Sphingolipid Metabolism and Signaling 2
- Genetics 6
- Bacterial Genetics and Biotechnology 4
- Co-authors
- Gregory R. Bowman (7 shared papers)Maxwell I. Zimmerman (4 shared papers)Kathryn M. Hart (3 shared papers)Chris Ho (1 shared paper)Catherine R. Knoverek (3 shared papers)Jeffrey W. Peng (4 shared papers)Gail E. Fanucci (3 shared papers)C. Mair (2 shared papers)
- Journals
- Biochemistry (2 papers)PLoS ONE (2 papers)Biophysical Journal (2 papers)Journal of Biomolecular NMR (1 paper)Chemistry and Physics of Lipids (1 paper)
- Partner nations
- United StatesSpainCanada
In The Last Decade
Thomas E. Frederick
16 papers receiving 311 citations
Peers
Comparison fields: 5 of 68
- Molecular Medicine 44
- Infectious Diseases 98
- Molecular Biology 190
- Computational Theory and Mathematics 39
- Endocrinology 10
Countries citing papers authored by Thomas E. Frederick
This map shows the geographic impact of Thomas E. Frederick'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 Thomas E. Frederick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas E. Frederick more than expected).
Fields of papers citing papers by Thomas E. Frederick
This network shows the impact of papers produced by Thomas E. Frederick. 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 Thomas E. Frederick. The network helps show where Thomas E. Frederick may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas E. Frederick, 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 | 51 | |
| 2 | 2018 | 45 | |
| 3 | 2017 | 45 | |
| 4 | 2020 | 28 | |
| 5 | 2009 | 24 | |
| 6 | 2021 | 22 | |
| 7 | 2017 | 19 | |
| 8 | 2015 | 19 | |
| 9 | 2017 | 17 | |
| 10 | 2013 | 12 | |
| 11 | 2010 | 11 | |
| 12 | 2020 | 6 | |
| 13 | 2018 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2010 | 2 | |
| 16 | 2018 | 2 |
About Thomas E. Frederick
Thomas E. Frederick is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Computational Theory and Mathematics and Molecular Medicine, having authored 16 papers that have together received 312 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (4 papers), Protein Structure and Dynamics (4 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Computational Drug Discovery Methods (3 papers), Lipid Membrane Structure and Behavior (3 papers), Enzyme Structure and Function (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Sphingolipid Metabolism and Signaling (2 papers). The work is most often cited by research in Molecular Medicine (44 citations), Infectious Diseases (98 citations), Molecular Biology (190 citations), Computational Theory and Mathematics (39 citations) and Endocrinology (10 citations). Thomas E. Frederick has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Gregory R. Bowman, Maxwell I. Zimmerman, Kathryn M. Hart, Chris Ho, Catherine R. Knoverek, Jeffrey W. Peng, Gail E. Fanucci, C. Mair, John R. Jimah and Niraj H. Tolia. Their work appears in journals such as Biochemistry, PLoS ONE, Biophysical Journal, Journal of Biomolecular NMR and Chemistry and Physics of Lipids.
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.