Daniel J. Wozniak
- Molecular Biology top 0.2%
- Molecular Medicine top 0.05%
- Genetics top 0.5%
- Endocrinology top 0.05%
- Ecology top 0.5%
- Co-authors
- Matthew R. ParsekThomas R. NeuHans‐Curt FlemmingChristopher J. JonesZ. LuyanDominique H. LimoliEthan E. MannMatthew S. Byrd
- Topics
- Bacterial biofilms and quorum sensing (136 papers)Bacterial Genetics and Biotechnology (58 papers)Cystic Fibrosis Research Advances (39 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Daniel J. Wozniak
181 papers receiving 15.7k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Molecular Biology 11.6k
- Molecular Medicine 2.8k
- Genetics 2.6k
- Endocrinology 2.6k
- Ecology 2.3k
Countries citing papers authored by Daniel J. Wozniak
This map shows the geographic impact of Daniel J. Wozniak'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 Daniel J. Wozniak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Wozniak more than expected).
Fields of papers citing papers by Daniel J. Wozniak
This network shows the impact of papers produced by Daniel J. Wozniak. 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 Daniel J. Wozniak. The network helps show where Daniel J. Wozniak may publish in the future.
Co-authorship network of co-authors of Daniel J. Wozniak
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Wozniak. A scholar is included among the top collaborators of Daniel J. Wozniak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel J. Wozniak. Daniel J. Wozniak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 13 | |
| 5 | 25 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 35 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 54 | |
| 12 | 14 | |
| 13 | 12 | |
| 14 | 69 | |
| 15 | 10 | |
| 16 | 220 | |
| 17 | 83 | |
| 18 | 233 | |
| 19 | 65 | |
| 20 | 352 |
About Daniel J. Wozniak
Daniel J. Wozniak is a scholar working on Periodontics, Molecular Medicine and Endocrinology, having authored 185 papers that have together received 16.0k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (136 papers), Bacterial Genetics and Biotechnology (58 papers) and Cystic Fibrosis Research Advances (39 papers). The work is most often cited by research in Molecular Medicine (2.8k citations), Endocrinology (2.6k citations) and Periodontics (2.0k citations). Daniel J. Wozniak has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Matthew R. Parsek, Thomas R. Neu, Hans‐Curt Flemming, Christopher J. Jones, Z. Luyan, Dominique H. Limoli, Ethan E. Mann, Matthew S. Byrd, Haiping Lu and Dennis E. Ohman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.