Everett C. Pesci
- Molecular Biology top 1%
- Genetics top 0.5%
- Molecular Medicine top 0.1%
- Endocrinology top 0.2%
- Ecology top 2%
- Co-authors
- Barbara H. IglewskiJames P. PearsonSusan L. McKnightM. Worth CalfeeJohn M. FarrowCarol L. PickettPatrick C. SeedJames P. Coleman
- Topics
- Bacterial biofilms and quorum sensing (40 papers)Bacterial Genetics and Biotechnology (35 papers)Antibiotic Resistance in Bacteria (18 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesCanadaAustria
In The Last Decade
Everett C. Pesci
57 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 5.8k
- Genetics 2.7k
- Molecular Medicine 2.2k
- Endocrinology 1.5k
- Ecology 975
Countries citing papers authored by Everett C. Pesci
This map shows the geographic impact of Everett C. Pesci'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 Everett C. Pesci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Everett C. Pesci more than expected).
Fields of papers citing papers by Everett C. Pesci
This network shows the impact of papers produced by Everett C. Pesci. 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 Everett C. Pesci. The network helps show where Everett C. Pesci may publish in the future.
Co-authorship network of co-authors of Everett C. Pesci
This figure shows the co-authorship network connecting the top 25 collaborators of Everett C. Pesci. A scholar is included among the top collaborators of Everett C. Pesci 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 Everett C. Pesci. Everett C. Pesci 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 | 29 | |
| 3 | 72 | |
| 4 | 43 | |
| 5 | 55 | |
| 6 | 7 | |
| 7 | 27 | |
| 8 | 7 | |
| 9 | 165 | |
| 10 | 133 | |
| 11 | 34 | |
| 12 | 99 | |
| 13 | 193 | |
| 14 | 446 | |
| 15 | 153 | |
| 16 | 7 | |
| 17 | 110 | |
| 18 | Analysis of thePseudomonas aeruginosaElastase (lasB) Regulatory Region | 2 |
| 19 | 34 | |
| 20 | 13 |
About Everett C. Pesci
Everett C. Pesci is a scholar working on Molecular Medicine, Endocrinology and Genetics, having authored 57 papers that have together received 7.4k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (40 papers), Bacterial Genetics and Biotechnology (35 papers) and Antibiotic Resistance in Bacteria (18 papers). The work is most often cited by research in Molecular Medicine (2.2k citations), Endocrinology (1.5k citations) and Microbiology (699 citations). Everett C. Pesci has collaborated with scholars based in United States, Canada and Austria. Frequent co-authors include Barbara H. Iglewski, James P. Pearson, Susan L. McKnight, M. Worth Calfee, John M. Farrow, Carol L. Pickett, Patrick C. Seed, James P. Coleman, E. Peter Greenberg and Andrew S. Kende. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.