David Tomasek
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
Papers in
-
- RNA and protein synthesis mechanisms 5
- Protein Structure and Dynamics 4
- Lipid Membrane Structure and Behavior 2
- Glycosylation and Glycoproteins Research 1
- Genetics 6
- Bacterial Genetics and Biotechnology 6
- Co-authors
- Daniel Kahne (6 shared papers)James Lee (4 shared papers)Joseph S. Wzorek (3 shared papers)Stephen C. Harrison (1 shared paper)Zongli Li (1 shared paper)Shaun Rawson (1 shared paper)Kanagalaghatta R. Rajashankar (5 shared papers)Oliver B. Clarke (5 shared papers)
- Journals
- Nature Communications (3 papers)Proceedings of the National Academy of Sciences (3 papers)Science (1 paper)Current Opinion in Microbiology (1 paper)Biophysical Journal (1 paper)
- Partner nations
- United StatesGermanyPortugal
In The Last Decade
David Tomasek
11 papers receiving 588 citations
Peers
Comparison fields: 5 of 59
- Molecular Medicine 161
- Endocrinology 59
- Genetics 219
- Microbiology 46
- Molecular Biology 400
Countries citing papers authored by David Tomasek
This map shows the geographic impact of David Tomasek'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 David Tomasek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Tomasek more than expected).
Fields of papers citing papers by David Tomasek
This network shows the impact of papers produced by David Tomasek. 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 David Tomasek. The network helps show where David Tomasek may publish in the future.
Co-authors
The 25 scholars most cited alongside David Tomasek, 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 | 2020 | 119 | |
| 2 | 2016 | 101 | |
| 3 | 2018 | 72 | |
| 4 | 2021 | 59 | |
| 5 | 2019 | 50 | |
| 6 | 2018 | 48 | |
| 7 | 2014 | 42 | |
| 8 | 2015 | 40 | |
| 9 | 2016 | 34 | |
| 10 | 2017 | 27 | |
| 11 | 2015 | 1 |
About David Tomasek
David Tomasek is a scholar working on Molecular Biology, Genetics, Ecology, Molecular Medicine and Cell Biology, having authored 11 papers that have together received 593 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (6 papers), RNA and protein synthesis mechanisms (5 papers), Protein Structure and Dynamics (4 papers), Lipid Membrane Structure and Behavior (2 papers), Antibiotic Resistance in Bacteria (2 papers), Bacteriophages and microbial interactions (2 papers), Tuberculosis Research and Epidemiology (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Molecular Medicine (161 citations), Endocrinology (59 citations), Genetics (219 citations), Microbiology (46 citations) and Molecular Biology (400 citations). David Tomasek has collaborated with scholars based in United States, Germany and Portugal. Frequent co-authors include Daniel Kahne, James Lee, Joseph S. Wzorek, Stephen C. Harrison, Zongli Li, Shaun Rawson, Kanagalaghatta R. Rajashankar, Oliver B. Clarke, Lawrence Shapiro and Surajit Banerjee. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Science, Current Opinion in Microbiology and Biophysical Journal.
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.