D. Biek
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus
Papers in
-
- DNA Repair Mechanisms 5
- Enzyme function and inhibition 2
- Genetics 7
- Bacterial Genetics and Biotechnology 7
- Co-authors
- Stanley N. Cohen (4 shared papers)J R Roth (3 shared papers)Ian A. Critchley (4 shared papers)Dirk Thye (2 shared papers)Todd Riccobene (1 shared paper)Hélio S. Sader (3 shared papers)Athanasios Tsakris (1 shared paper)Peter C. Appelbaum (1 shared paper)
- Journals
- Journal of Bacteriology (5 papers)Journal of Antimicrobial Chemotherapy (5 papers)Proceedings of the National Academy of Sciences (2 papers)Genetics (1 paper)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)
- Partner nations
- United StatesFranceGreece
In The Last Decade
D. Biek
18 papers receiving 719 citations
Peers
Comparison fields: 5 of 58
- Molecular Medicine 134
- Infectious Diseases 222
- Genetics 341
- Clinical Biochemistry 56
- Pharmacology 108
Countries citing papers authored by D. Biek
This map shows the geographic impact of D. Biek'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 D. Biek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Biek more than expected).
Fields of papers citing papers by D. Biek
This network shows the impact of papers produced by D. Biek. 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 D. Biek. The network helps show where D. Biek may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Biek, 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 | 1986 | 187 | |
| 2 | 2012 | 86 | |
| 3 | 2010 | 85 | |
| 4 | 2010 | 56 | |
| 5 | 1989 | 56 | |
| 6 | 1989 | 50 | |
| 7 | 1980 | 48 | |
| 8 | 1994 | 46 | |
| 9 | 2011 | 34 | |
| 10 | 2011 | 32 | |
| 11 | 1979 | 28 | |
| 12 | 1992 | 20 | |
| 13 | 1981 | 12 | |
| 14 | 1978 | 7 | |
| 15 | 2009 | 2 | |
| 16 | 2009 | 2 | |
| 17 | Ceftaroline Activity Against Staphylococci and Characterization of S. aureus with Elevated Ceftaroline MIC Values: Results from the Ceftaroline Surveillance Program | 2009 | 1 |
| 18 | 2009 | 1 |
About D. Biek
D. Biek is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Pharmacology and Epidemiology, having authored 18 papers that have together received 753 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), Antimicrobial Resistance in Staphylococcus (6 papers), DNA Repair Mechanisms (5 papers), Pneumonia and Respiratory Infections (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Antibiotic Resistance in Bacteria (3 papers), Advanced Chemical Sensor Technologies (2 papers) and Enzyme function and inhibition (2 papers). The work is most often cited by research in Molecular Medicine (134 citations), Infectious Diseases (222 citations), Genetics (341 citations), Clinical Biochemistry (56 citations) and Pharmacology (108 citations). D. Biek has collaborated with scholars based in United States, France and Greece. Frequent co-authors include Stanley N. Cohen, J R Roth, Ian A. Critchley, Dirk Thye, Todd Riccobene, Hélio S. Sader, Athanasios Tsakris, Peter C. Appelbaum, Ronald N. Jones and Rodrigo E. Mendes. Their work appears in journals such as Journal of Bacteriology, Journal of Antimicrobial Chemotherapy, Proceedings of the National Academy of Sciences, Genetics and Cold Spring Harbor Symposia on Quantitative Biology.
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.