Kenneth D. Tucker
- Molecular Biology top 5%
- Microbiology top 0.5%
- Immunology top 5%
- Genetics top 5%
- Infectious Diseases top 5%
- Co-authors
- Luciano PassadorJ. ŁubkowskiBarbara H. IglewskiDavid M. HooverJames P. PearsonE. Peter GreenbergAnatol EberhardK M Gray
- Topics
- Antimicrobial Peptides and Activities (5 papers)Immune Response and Inflammation (4 papers)vaccines and immunoinformatics approaches (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Bacteriology
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Kenneth D. Tucker
20 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.5k
- Microbiology 826
- Immunology 612
- Genetics 490
- Infectious Diseases 294
Countries citing papers authored by Kenneth D. Tucker
This map shows the geographic impact of Kenneth D. Tucker'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 Kenneth D. Tucker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth D. Tucker more than expected).
Fields of papers citing papers by Kenneth D. Tucker
This network shows the impact of papers produced by Kenneth D. Tucker. 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 Kenneth D. Tucker. The network helps show where Kenneth D. Tucker may publish in the future.
Co-authorship network of co-authors of Kenneth D. Tucker
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth D. Tucker. A scholar is included among the top collaborators of Kenneth D. Tucker 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 Kenneth D. Tucker. Kenneth D. Tucker 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 | 3 | |
| 3 | 7 | |
| 4 | 25 | |
| 5 | 169 | |
| 6 | 43 | |
| 7 | 46 | |
| 8 | 89 | |
| 9 | 43 | |
| 10 | 209 | |
| 11 | 371 | |
| 12 | 191 | |
| 13 | 162 | |
| 14 | 32 | |
| 15 | 138 | |
| 16 | Structure of the autoinducer required for expression of Pseudomonas aeruginosa virulence genes.breakdown → | 791 |
| 17 | 121 | |
| 18 | 46 | |
| 19 | 2 | |
| 20 | 1 |
About Kenneth D. Tucker
Kenneth D. Tucker is a scholar working on Microbiology, Endocrinology and Immunology, having authored 20 papers that have together received 2.5k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (5 papers), Immune Response and Inflammation (4 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Microbiology (826 citations), Molecular Medicine (284 citations) and Endocrinology (219 citations). Kenneth D. Tucker has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Luciano Passador, J. Łubkowski, Barbara H. Iglewski, David M. Hoover, James P. Pearson, E. Peter Greenberg, Anatol Eberhard, K M Gray, De Yang and Joost J. Oppenheim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Bacteriology.
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.