Jon E. Paczkowski
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in
-
- Bacterial biofilms and quorum sensing 14
- Lipid Membrane Structure and Behavior 4
- Genetics 10
- Bacterial Genetics and Biotechnology 10
- Co-authors
- Bonnie L. Bassler (7 shared papers)Sampriti Mukherjee (2 shared papers)Brad R. Henke (5 shared papers)J. Christopher Fromme (5 shared papers)Chari D. Smith (3 shared papers)Joseph Bondy‐Denomy (1 shared paper)Nina Molin Høyland‐Kroghsbo (1 shared paper)Jenny M. Broniewski (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)PLoS Pathogens (2 papers)mBio (2 papers)Proceedings of the National Academy of Sciences (2 papers)ACS Chemical Biology (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Jon E. Paczkowski
17 papers receiving 871 citations
Peers
Comparison fields: 5 of 84
- Molecular Medicine 207
- Endocrinology 143
- Microbiology 66
- Molecular Biology 699
- Genetics 197
Countries citing papers authored by Jon E. Paczkowski
This map shows the geographic impact of Jon E. Paczkowski'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 Jon E. Paczkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon E. Paczkowski more than expected).
Fields of papers citing papers by Jon E. Paczkowski
This network shows the impact of papers produced by Jon E. Paczkowski. 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 Jon E. Paczkowski. The network helps show where Jon E. Paczkowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon E. Paczkowski, 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 | 2016 | 231 | |
| 2 | 2017 | 213 | |
| 3 | 2018 | 71 | |
| 4 | 2015 | 57 | |
| 5 | 2021 | 41 | |
| 6 | 2019 | 38 | |
| 7 | 2012 | 32 | |
| 8 | 2020 | 31 | |
| 9 | 2022 | 30 | |
| 10 | 2019 | 29 | |
| 11 | 2022 | 29 | |
| 12 | 2023 | 26 | |
| 13 | 2014 | 24 | |
| 14 | 2023 | 15 | |
| 15 | 2016 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2025 | 2 | |
| 18 | 2026 | 0 | |
| 19 | 2026 | 0 |
About Jon E. Paczkowski
Jon E. Paczkowski is a scholar working on Molecular Biology, Genetics, Molecular Medicine, Cell Biology and Endocrinology, having authored 19 papers that have together received 877 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (14 papers), Bacterial Genetics and Biotechnology (10 papers), Antibiotic Resistance in Bacteria (6 papers), Lipid Membrane Structure and Behavior (4 papers), Cellular transport and secretion (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Vibrio bacteria research studies (3 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Molecular Medicine (207 citations), Endocrinology (143 citations), Microbiology (66 citations), Molecular Biology (699 citations) and Genetics (197 citations). Jon E. Paczkowski has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Bonnie L. Bassler, Sampriti Mukherjee, Brad R. Henke, J. Christopher Fromme, Chari D. Smith, Joseph Bondy‐Denomy, Nina Molin Høyland‐Kroghsbo, Jenny M. Broniewski, Edze R. Westra and Brian C. Richardson. Their work appears in journals such as Journal of Biological Chemistry, PLoS Pathogens, mBio, Proceedings of the National Academy of Sciences and ACS Chemical 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.