Jon E. Paczkowski
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in
-
- Antibiotic Resistance in Bacteria 6
- Genetics 10
- Bacterial Genetics and Biotechnology 10
- Co-authors
- Bonnie L. Bassler (7 shared papers)Brad R. Henke (5 shared papers)Sampriti Mukherjee (2 shared papers)J. Christopher Fromme (5 shared papers)Chari D. Smith (3 shared papers)Edze Rients Westra (1 shared paper)Jenny M. Broniewski (1 shared paper)Joseph Bondy‐Denomy (1 shared paper)
- Journals
- mBio (3 papers)PLoS Pathogens (2 papers)Journal of Biological Chemistry (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 946 citations
Peers
Comparison fields: 5 of 82
- Molecular Medicine 216
- Endocrinology 151
- Microbiology 75
- Molecular Biology 761
- Genetics 206
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 | 248 | |
| 2 | 2017 | 245 | |
| 3 | 2018 | 76 | |
| 4 | 2015 | 61 | |
| 5 | 2021 | 44 | |
| 6 | 2019 | 42 | |
| 7 | 2022 | 36 | |
| 8 | 2012 | 35 | |
| 9 | 2019 | 31 | |
| 10 | 2023 | 30 | |
| 11 | 2020 | 30 | |
| 12 | 2022 | 28 | |
| 13 | 2014 | 25 | |
| 14 | 2023 | 16 | |
| 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 Medicine, Genetics, Endocrinology, Molecular Biology and Cell Biology, having authored 19 papers that have together received 957 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (13 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), Vibrio bacteria research studies (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Molecular Medicine (216 citations), Endocrinology (151 citations), Microbiology (75 citations), Molecular Biology (761 citations) and Genetics (206 citations). Jon E. Paczkowski has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Bonnie L. Bassler, Brad R. Henke, Sampriti Mukherjee, J. Christopher Fromme, Chari D. Smith, Edze Rients Westra, Jenny M. Broniewski, Joseph Bondy‐Denomy, Nina Molin Høyland‐Kroghsbo and Brian C. Richardson. Their work appears in journals such as mBio, PLoS Pathogens, Journal of Biological Chemistry, 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.