Daniel J. Hassett
- Molecular Biology top 0.5%
- Genetics top 0.5%
- Molecular Medicine top 0.1%
- Endocrinology top 0.1%
- Pulmonary and Respiratory Medicine top 1%
- Co-authors
- Gee W. LauHuimin RanMyron S. CohenUrs A. OchsnerFansheng KongTimothy R. McDermottMichael L. VasilJeremy S. Webb
- Topics
- Bacterial biofilms and quorum sensing (70 papers)Cystic Fibrosis Research Advances (24 papers)Antibiotic Resistance in Bacteria (24 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesCanadaPoland
In The Last Decade
Daniel J. Hassett
151 papers receiving 11.5k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Molecular Biology 7.4k
- Genetics 2.1k
- Molecular Medicine 1.9k
- Endocrinology 1.6k
- Pulmonary and Respiratory Medicine 1.6k
Countries citing papers authored by Daniel J. Hassett
This map shows the geographic impact of Daniel J. Hassett'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. Hassett 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. Hassett more than expected).
Fields of papers citing papers by Daniel J. Hassett
This network shows the impact of papers produced by Daniel J. Hassett. 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. Hassett. The network helps show where Daniel J. Hassett may publish in the future.
Co-authorship network of co-authors of Daniel J. Hassett
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Hassett. A scholar is included among the top collaborators of Daniel J. Hassett 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. Hassett. Daniel J. Hassett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 269 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 17 | |
| 6 | 109 | |
| 7 | 105 | |
| 8 | 100 | |
| 9 | 111 | |
| 10 | 149 | |
| 11 | 63 | |
| 12 | Involvement of Nitric Oxide in Biofilm Dispersal of Pseudomonas aeruginosabreakdown → | 598 |
| 13 | 182 | |
| 14 | 41 | |
| 15 | 389 | |
| 16 | 232 | |
| 17 | 474 | |
| 18 | 36 | |
| 19 | 327 | |
| 20 | Comparison of the impact of myeloperoxidase and lactoferrin release on the potential for neutrophil hydroxyl radical formation using spin trapping techniques | 1 |
About Daniel J. Hassett
Daniel J. Hassett is a scholar working on Molecular Medicine, Endocrinology and Microbiology, having authored 153 papers that have together received 11.7k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (70 papers), Cystic Fibrosis Research Advances (24 papers) and Antibiotic Resistance in Bacteria (24 papers). The work is most often cited by research in Molecular Medicine (1.9k citations), Endocrinology (1.6k citations) and Microbiology (955 citations). Daniel J. Hassett has collaborated with scholars based in United States, Canada and Poland. Frequent co-authors include Gee W. Lau, Huimin Ran, Myron S. Cohen, Urs A. Ochsner, Fansheng Kong, Timothy R. McDermott, Michael L. Vasil, Jeremy S. Webb, Staffan Kjelleberg and Nicolas Barraud. 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.