Thomas E. Frederick
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
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- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
- Antimicrobial Resistance in Staphylococcus
Papers in
-
- Viral Infections and Outbreaks Research 3
- Antimicrobial Resistance in Staphylococcus 3
-
- Antibiotic Resistance in Bacteria 3
- Co-authors
- Gregory R. Bowman (8 shared papers)Maxwell I. Zimmerman (5 shared papers)Kathryn M. Hart (3 shared papers)Catherine R. Knoverek (3 shared papers)Chris M. W. Ho (1 shared paper)Gail E. Fanucci (3 shared papers)Jeffrey W. Peng (4 shared papers)C. Mair (2 shared papers)
- Journals
- Biophysical Journal (3 papers)Biochemistry (2 papers)PLoS ONE (2 papers)ACS Central Science (1 paper)Journal of Biomolecular NMR (1 paper)
- Partner nations
- United StatesSpainChina
In The Last Decade
Thomas E. Frederick
16 papers receiving 347 citations
Peers
Comparison fields: 5 of 67
- Molecular Medicine 44
- Infectious Diseases 106
- Molecular Biology 201
- Computational Theory and Mathematics 41
- Structural Biology 3
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 | 56 | |
| 2 | 2017 | 52 | |
| 3 | 2018 | 48 | |
| 4 | 2020 | 36 | |
| 5 | 2021 | 29 | |
| 6 | 2009 | 27 | |
| 7 | 2017 | 21 | |
| 8 | 2017 | 20 | |
| 9 | 2015 | 18 | |
| 10 | 2013 | 12 | |
| 11 | 2010 | 11 | |
| 12 | 2020 | 6 | |
| 13 | 2018 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2010 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2022 | 0 |
About Thomas E. Frederick
Thomas E. Frederick is a scholar working on Infectious Diseases, Molecular Medicine, Genetics, Molecular Biology and Computational Theory and Mathematics, having authored 17 papers that have together received 349 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (4 papers), Protein Structure and Dynamics (4 papers), Lipid Membrane Structure and Behavior (3 papers), Computational Drug Discovery Methods (3 papers), Antibiotic Resistance in Bacteria (3 papers), Enzyme Structure and Function (3 papers), Viral Infections and Outbreaks Research (3 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). The work is most often cited by research in Molecular Medicine (44 citations), Infectious Diseases (106 citations), Molecular Biology (201 citations), Computational Theory and Mathematics (41 citations) and Structural Biology (3 citations). Thomas E. Frederick has collaborated with scholars based in United States, Spain and China. Frequent co-authors include Gregory R. Bowman, Maxwell I. Zimmerman, Kathryn M. Hart, Catherine R. Knoverek, Chris M. W. Ho, Gail E. Fanucci, Jeffrey W. Peng, C. Mair, John R. Jimah and Niraj Harish Tolia. Their work appears in journals such as Biophysical Journal, Biochemistry, PLoS ONE, ACS Central Science and Journal of Biomolecular NMR.
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.